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ORCIDIJCNN 2022: Padua, Italy
- International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022. IEEE 2022, ISBN 978-1-7281-8671-9
- Mario T. R. Serra Neto, Inês Dutra
, Marco Antônio Florenzano Mollinetti:
Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method. 1-8 - Yanchen Li, Qingzhong Ai, Fumihiko Ino:
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs. 1-8 - Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi, Avinash Sharma:
Multiple GraphHeat Networks for Structural to Functional Brain Mapping. 1-8 - Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. 1-8 - Chenglin Wang, Xiaowei Xu, Zhimin Wei, Wei Zhang, Zhenyu Liu:
LSGC: An Interactive Text Matching Model Combined with Enhanced Encoding. 1-7 - Sourav Ghosh, Dipanjan Das, Abhishek Chakraborty, Marichi Agarwal, Brojeshwar Bhowmick:
Planning Large-scale Object Rearrangement Using Deep Reinforcement Learning. 1-8 - Shaofei Lu, Yajun Zhu, Shen Liu, Jingke She:
A Tool Wear Prediction Model Based on Attention Mechanism and IndRNN. 1-7 - Shangyin Weng, Lei Zhang, Daquan Feng, Chenyuan Feng, Ruiyu Wang, Paulo Valente Klaine, Muhammad Ali Imran:
Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent. 1-6 - Wentao Fu, Jifeng Sun, Yong Jiang:
Stock Selection via Expand-excite Conv Attention Autoencoder and Layer Sparse Attention Transformer: A Classification Approach Inspire Time Series Sequence Recognition. 1-7 - Ling Xiong, Junxiu Liu, Min Su, Shunsheng Zhang, Guopei Wu, Haiping Shu, Bingxiong Jiang:
Covid-19 Diagnosis via Voice Using Online Sequential Extreme Learning Machine. 1-6 - Yanyu Chen, Zhihao Xia, Jian Liu, Chenwei Wu:
TSDet: End-to-End Method with Transformer for SAR Ship Detection. 1-8 - Xu Zhang, Yifeng Li, Xueping Peng, Xinxiao Qiao, Hui Zhang, Wenpeng Lu:
Correlation Encoder-Decoder Model for Text Generation. 1-7 - Yiyi Song, Hongyan Mao, Hongwei Li:
Spatio-Temporal Modeling For Air Quality Prediction Based On Spectral Graph Convolutional Network And Attention Mechanism. 1-9 - Shreyah Iyer, Cornelius Glackin, Nigel Cannings, Vito Veneziano, Yi Sun:
A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition. 1-8 - Yuchen Pan, Yu Hong, Qingting Xu, Jiaxiang Chen, Jianmin Yao:
Aspect Term Extraction via Contrastive Learning over Self-augmented Data. 1-8 - Sohini Roychowdhury:
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification. 1-8 - Wenya Li, Xiaofei Zhou, Xu Bai, Shirui Pan:
Improving Factual Consistency of Dialogue Summarization with Fact-Augmentation Mechanism. 1-7 - Beiya Dai, Jiangang Qian, Shiqing Cheng, Linbo Qiao, Dongsheng Li:
Event Coreference Resolution based on Convolutional Siamese network and Circle Loss. 1-7 - Haotian Zhang, Wei Wu:
Transformer Gate Attention Model: An Improved Attention Model for Visual Question Answering. 1-7 - Michal Panek, Ireneusz Jablonski, Michal Wozniak:
Automated identification of systematic performance changes in 5G networks by changepoint tracking. 1-8 - Zixuan Zhao, Siyu Yang, Christopher Sauer, Atsushi Teraji, Yasuhiro Yamauchi, Takeshi Hirata, A. J. Bisci, Yi Lu Murphey:
Structured Deep Learning Models for Accurate Prediction of Real-world Driving Speed for Short and Long-term Horizons. 1-8 - Gabriel Faria, Gabriel Henrique de Souza, Heder Bernardino, Luciana Motta, Alex Borges Vieira:
Analyzing Data Augmentation Methods for Convolutional Neural Network-based Brain-Computer Interfaces. 1-8 - Hugo Bertrand, Haytham Elghazel, Sahar Masmoudi, Emmanuel Coquery, Mohand-Saïd Hacid:
Localized Feature Ranking approach for Multi-Target Regression. 1-8 - Yanli Bi, Lizhe Qi, Yunquan Sun:
C2F-CFN: Coarse-to-Fine ClothFlow Network for High-Fidelity Virtual Try-On. 1-8 - Mingfeng Wang, Jing Li, Jun Chang, Donghua Liu, Chenyan Zhang, Xiaosai Huang:
Global Context-Aware Graph Neural Networks for Session-based Recommendation. 1-8 - Yingying Tan, Junli Wang:
Word Order is Considerable: Contextual Position-aware Graph Neural Network for Text Classification. 1-8 - Liancheng Xu, Guangchao Wang, Lei Guo, Xinhua Wang:
Long- and Short-term Attention Network for Knowledge Tracing. 1-9 - Jatin Chauhan, Manohar Kaul:
BERTops: Studying BERT Representations under a Topological Lens. 1-8 - Yanbin Lin, Zhen Ni, Xiangnan Zhong:
Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment. 1-8 - Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki, Henryk Czachor:
Deep Learning for Porous Media Classification Based on Micro-CT Images. 1-8 - Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Yangyang Ding, Jianming Lv:
ACTSS: Input Detection Defense against Backdoor Attacks via Activation Subset Scanning. 1-8 - Aidong Hou, Shengli Jin, Dietmar Gruber, Harald Harmuth:
Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings. 1-6 - Kangkang Chen, Zhongxue Gan, Siyang Leng, Chun Guan:
Deep Reinforcement Learning with Parametric Episodic Memory. 1-7 - Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Sparse Oblique Decision Trees: A Tool to Interpret Natural Language Processing Datasets. 1-8 - Teddy Zaremba, Adham Atyabi:
Cross-Subject & Cross-Dataset Subject Transfer in Motor Imagery BCI systems. 1-8 - Ramya Ramalingam, Nicolas A. Espinosa Dice, Megan L. Kaye, George D. Montañez:
Bounding Generalization Error Through Bias and Capacity. 1-8 - Matthias Kissel, Klaus Diepold:
Convolutional Neural Networks with analytically determined Filters. 1-7 - Mikol Forney, Xuyang Yan, Kishor Datta Gupta, Mahmoud Nabil Mahmoud, Abdollah Homaifar:
Identifying Anomalous Flight Trajectories by leveraging ensembled outlier detection framework. 1-8 - Jing Yang, Qiqi Chen:
A Causal Network Construction Algorithm Based on Partial Rank Correlation on Time Series. 1-8 - Alex Szorkovszky, Frank Veenstra, Kyrre Glette:
Rapid rhythmic entrainment in bio-inspired central pattern generators. 1-7 - Spyridon Samothrakis, Ana Matran-Fernandez, Umar I. Abdullahi, Michael Fairbank, Maria Fasli:
Grokking-like effects in counterfactual inference. 1-8 - Liyan Song, Shuxian Li, Leandro L. Minku, Xin Yao:
A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency. 1-8 - Charly Alizadeh, Pegah Alizadeh, Miguel F. Anjos, Lucas Létocart, Emiliano Traversi:
How to Learn the Optimal Clique Decompositions in Solving Semidefinite Relaxations for OPF. 1-8 - Keval Doshi, Shatha Abudalou, Yasin Yilmaz:
Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection. 1-8 - Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos:
Compute Trends Across Three Eras of Machine Learning. 1-8 - Michele Scarpiniti, Cristiano Mauri, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee:
CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites. 1-8 - Ahmed Mamdouh, Moumen T. El-Melegy, Samia A. Ali, Ayman S. El-Baz:
Prediction of The Gleason Group of Prostate Cancer from Clinical Biomarkers: Machine and Deep Learning from Tabular Data. 1-8 - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. 1-8 - Ruyu Qin, Min Huang, Jiawei Liu, Qinghai Miao:
Hybrid Attention-based Transformer for Long-range Document Classification. 1-8 - Wei Peng, Yue Hu, Yuqiang Xie, Luxi Xing, Yajing Sun:
CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective. 1-8 - Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas:
A Fully Analog CMOS Implementation of a Two-variable Spiking Neuron in the Subthreshold Region and its Network Operation. 1-7 - Xianyang Chu, Minghua Zhu, Hongyan Mao, Yunzhou Qiu:
A Feature Fusion Analysis Model of Heterogeneous Data Based on Tensor Decomposition. 1-7 - Patrícia Pereira, Anders Lansner, Pawel Andrzej Herman:
Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve. 1-7 - Madeleine Abernot, Thierry Gil, Evgenii Kurylin, Tanguy Hardelin, Alexandre Magueresse, Théophile Gonos, Manuel Jiménez Través, Maria José Avedillo, Aida Todri-Sanial:
Oscillatory Neural Networks for Obstacle Avoidance on Mobile Surveillance Robot E4. 1-8 - Daxing Zhao, Shuai Zhao, Ruiqiang Liu, Qiuman Xu, Bo Cheng:
Long-term Traffic Prediction Using Time-varying Adjacency Mask and Self-Smoothing Regularization. 1-8 - Vahid Saranirad, Shirin Dora, T. M. McGinnity, Damien Coyle:
Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies. 1-7 - Changwu Huang, Zeqi Zhang, Bifei Mao, Xin Yao:
Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning. 1-7 - Pei-Chun Chang, Yan-Yu Tien, Chia-Lin Chen, Li-Fen Chen, Yong-Sheng Chen, Hui-Ling Chan:
Facial Image Reconstruction from Functional Magnetic Resonance Imaging via GAN Inversion with Improved Attribute Consistency. 1-8 - Yan Zhou, Haibin Zhou, Nanjun Li, Jianxun Li, Dongli Wang:
Lightweight Self-Attention Network for Semantic Segmentation. 1-8 - Takuro Kida, Yuichi Kida:
Theory of the optimum signal approximation clarifying the importance in the recognition of parallel world and application to secure signal communication with feedback. 1-8 - M. A. Ganaie, Muhammad Tanveer, Ashwani Kumar Malik, Ponnuthurai N. Suganthan:
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. 1-8 - Chih-Shuo Tsai, Ying-Hong Chan, Yao-Chung Fan:
Hierarchical Cache Transformer: Dynamic Early Exit for Language Translation. 1-9 - Yunlu Zhang, Keyan Ren, Chun Zhang, Tong Yan:
SG-TCN: Semantic Guidance Temporal Convolutional Network for Action Segmentation. 1-8 - Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger:
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. 1-8 - Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo Silva, David Menotti, Eduardo Luz:
A Decidability-Based Loss Function. 1-8 - Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming:
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. 1-8 - Daniel Theng, Adham Atyabi:
Implication of Subject Transfer in Motor Imagery Brain Computer Interfacing systems. 1-8 - Yaorong Xiao, William Ashbee, Vince D. Calhoun, Sergey M. Plis:
Refacing Defaced MRI with PixelCNN. 1-7 - Canlin Zhang, Chun-Nan Hsu, Yannis Katsis, Ho-Cheol Kim, Yoshiki Vazquez-Baeza:
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery. 1-9 - Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao, Marcilio C. P. de Souto:
Anchored Constrained Clustering Ensemble. 1-8 - Tingyu Xie, Peng Peng, Hongwei Wang, Yusheng Liu:
Open Knowledge Graph Link Prediction with Segmented Embedding. 1-8 - Piotr Przybyla, Piotr Borkowski, Konrad Kaczynski:
Countering Disinformation by Finding Reliable Sources: a Citation-Based Approach. 1-8 - Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu Lu:
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution. 1-8 - Shuhe Liu, Xiaolin Xu, Yongzheng Zhang, Yipeng Wang:
Autonomous Anti - interference Identification of $\text{IoT}$ Device Traffic based on Convolutional Neural Network. 1-8 - Henry Jin, Marios Mattheakis, Pavlos Protopapas:
Physics-Informed Neural Networks for Quantum Eigenvalue Problems. 1-8 - Yulianti Paula Bria, Chung-Hsing Yeh, Susan E. Bedingfield:
Machine Learning Classifiers for Symptom-Based Malaria Prediction. 1-6 - Yawen Lu, Guoyu Lu:
Self-supervised Depth Estimation from Spectral Consistency and Novel View Synthesis. 1-8 - Shoukang Han, Neng Gao, Xiaobo Guo, Yiwei Shan:
Hierarchical Graph Attention Network with Heterogeneous Tripartite Graph for Numerical Reasoning over Text. 1-7 - Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang:
Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. 1-8 - Fan Wen, Ming Li, Ruiyang Wang:
Social Transformer: A Pedestrian Trajectory Prediction Method based on Social Feature Processing Using Transformer. 1-7 - Amogh Manoj Joshi, Deepak Ranjan Nayak:
GDenseMNet: Global Dense Multiscale Feature Learning Network for Efficient COVID-19 Detection in CT Images. 1-7 - Wilkie Olin-Ammentorp, Maxim Bazhenov:
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks. 1-10 - Alperen Görmez, Venkat R. Dasari, Erdem Koyuncu:
E2CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning. 1-8 - Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet:
Online Hyperparameter Optimization for Streaming Neural Networks. 1-9 - Giovanna Castellano, Corrado Mencar, Gaetano Sette, Francesco Saverio Troccoli, Gennaro Vessio:
Crowd Flow Detection from Drones with Fully Convolutional Networks and Clustering. 1-8 - Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson:
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. 1-8 - Bruna Rossetto Delazeri, Leonardo León Vera, Jean Paul Barddal, Alessandro L. Koerich, Alceu S. Britto Jr.:
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition. 1-8 - Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Defensive Bit Planes: Defense Against Adversarial Attacks. 1-8 - Kun Cao, Zongxia Xie:
Uncertainty prediction and calibration using multi-expert gating mechanism. 1-9 - Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan:
STIP-GCN: Space-time interest points graph convolutional network for action recognition. 1-8 - Haoze Yang, Kunyao Lan, Jiawei You, Liping Shen:
A simple but practical method: How to improve the usage of entities in the Chinese question generation. 1-8 - Martin Link, Max Schwarz, Sven Behnke:
Predicting Physical Object Properties from Video. 1-7 - Joachim Denker, Vincenzo Iannino, Christian Laudenberg, Alfred Tenner, Mohieddine Jelali, Marvin Daun:
Improved Temperature Monitoring and Control of Production Lines in Casting through BaSyx Framework and Edge Intelligence. 1-8 - Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Adv-IFD: Adversarial Attack Datasets for An Intelligent Fault Diagnosis. 1-8 - Corinne G. Allaart, Björn Keyser, Henri E. Bal, Aart van Halteren:
Vertical Split Learning - an exploration of predictive performance in medical and other use cases. 1-8 - Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon:
Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling. 1-9 - Hongchao Jiang, Chunyan Miao:
Pre-Training 3D Convolutional Neural Networks for Prodromal Alzheimer's Disease Classification. 1-8 - Peter Ford Dominey, Timothy M. Ellmore, Jocelyne Ventre-Dominey:
Effects of Connectivity on Narrative Temporal Processing in Structured Reservoir Computing. 1-8 - Zhuping Hu, Tianqi Gao, Hao Li, Maoguo Gong, Yue Wu, Jieyi Liu, Jiao Shi:
Ternary Change Detection in SAR Images Based on Bi-hierarchical SDAE and Bayesian Optimization. 1-8 - Stephen Lamczyk, Kwame Ampofo, Behrouz Salashour, Mecit Cetin, Khan M. Iftekharuddin:
SURFGenerator: Generative Adversarial Network Modeling for Synthetic Flooding Video Generation. 1-8 - Xiang Xie, Wilhelm Stork:
Large-Scale Spectral Analysis for Element Quantification using Deep Neural Networks. 1-8 - Inês Saraiva, Daniela Moniz, Alexandre Almeida, João M. C. Sousa, Susana M. Vieira:
Intelligent Funds Assistant Exploiting Hierarchical Text Classification Algorithms. 1-7 - Jair Galvão, Tsang Ing Ren, Francisco Madeiro, Emerson A. O. Lima:
Low-discrepancy Sampling for Full Reference Image Quality Assessment Speed Up. 1-8 - Merylin Monaro, Valentina Fietta, Valentina Curró, Giulia Lusetti, Giuseppe Sartori, Nicolò Navarin:
Forged handwriting verification: a public domain dataset for training machine learning models. 1-8 - Zhan Li, Ziyi Zhong, Zhitao Chen, Gengqi Yao, Xi Chen, Weijian Huang:
Edge Guided Learning for Image Super-resolution with Realistic Textures. 1-8 - Qiang Ding, Tianhao Sun, Mingliang Zhou:
Attribute-driven Interest Modeling for Sequential Recommendation. 1-8 - Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin:
Boosting Online Feature Transfer via Separable Feature Fusion. 1-7 - Tinghui Ouyang, Yoshinao Isobe, Saïma Sultana, Yoshiki Seo, Yutaka Oiwa:
Autonomous driving quality assurance with data uncertainty analysis. 1-7 - Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping. 1-8 - Yujie Liu, Xing Wei, Yang Lu, Chong Zhao, Xuanyuan Qiao:
Source Free Domain Adaptation via Combined Discriminative GAN Model for Image Classification. 1-8 - Wuji Zhang, Bin Li, Huabin Zhang, Lei Zhang:
Community and Local Information Preserved Link Prediction in Complex Networks. 1-7 - Arpita Dash, Raju S. Bapi, Dipanjan Roy, P. K. Vinod:
Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age. 1-7 - Hanwei Wang, Piji Li, Yanan Cao, Ruipeng Jia, Wang Hai-long, Li Yang-chun:
Decoupled Extractive Summarization as Graph Nodes Pruning. 1-8 - Haotian Zhang, Wei Wu, Meng Zhang:
Multi-Attention Cascade Model Based on Multi-Head Structure for Image-Text Retrieval. 1-7 - Jiyuan Cao, Zhilei Liu, Yong Zhang:
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling. 1-8 - Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli:
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. 1-9 - Md. Shahanur Alam, Chris Yakopcic, Tarek M. Taha:
Memristor Based Federated Learning for Network Security on the Edge using Processing in Memory (PIM) Computing. 1-8 - Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galván, John McDonald:
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. 1-7 - Divya Acharya, Guda Ramachandra Kaladhara Sarma, Kameshwar Raovenkatajammalamadaka:
Enhanced EfficientNet Network for Classifying Laparoscopy Videos using Transfer Learning Technique. 1-9 - Yuwei Sun, Hideya Ochiai, Jun Sakuma:
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis. 1-8 - Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. 1-8 - João Capela, João Correia, Vitor Pereira, Miguel Rocha:
Development of Deep Learning approaches to predict relationships between chemical structures and sweetness. 1-8 - Sanjukta Krishnagopal, Jacob Bedrossian:
Preserving Data Manifold Structure in Latent Space for Exploration through Network Geodesics. 1-8 - Maciej Kusy, Piotr A. Kowalski, Marcin Szwagrzyk, Aleksander Konior:
Machine learning techniques for explaining air pollution prediction. 1-8 - Linwei Chen, Dongsheng Zhou, Rui Liu, Qiang Zhang:
SAMKR: Bottom-up Keypoint Regression Pose Estimation Method Based On Subspace Attention Module. 1-9 - Jianming Guo, Xinran Chen, Zihan Liu, Weijie Yuan, Jianshen Zhang, Gongshen Liu:
Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT. 1-8 - Flaminia Spasiano, Gabriele Gennaro, Simone Scardapane:
Evaluating Adversarial Attacks and Defences in Infrared Deep Learning Monitoring Systems. 1-6 - Seunghyun Baik, Hongje Seong, Youngjo Lee, Euntai Kim:
Spatial-Channel Transformer for Scene Recognition. 1-8 - Xiaotong Cheng, Chongyang Zhang:
C2-YOLO: Rotating Object Detection Network for Remote Sensing Images with Complex Backgrounds. 1-8 - Jenni Raitoharju, Alexandros Iosifidis:
Generalized Reference Kernel for One-class Classification. 1-9 - Anna Wawrzynczak, Monika Berendt-Marchel:
Feedforward neural networks in forecasting the spatial distribution of the time-dependent multidimensional functions. 1-8 - Nan Zhang, Jianzong Wang, Zhenhou Hong, Chendong Zhao, Xiaoyang Qu, Jing Xiao:
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification. 1-7 - Kehan Long, Shasha Li, Pancheng Wang, Jintao Tang, Ting Wang:
Integrating Title and Citation Context Semantics of Citing Paper via Weighted Attentions for Local Citation Recommendation. 1-7 - Boli Fang, Zhenghao Peng, Hao Sun, Qin Zhang:
Meta Proximal Policy Optimization for Cooperative Multi-Agent Continuous Control. 1-8 - Kun Lei, Peng Guo, Yi Wang, Jianyu Xiong, Wenchao Zhao:
An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem. 1-8 - Anca-Diana Vicol, Bojian Yin, Sander M. Bohté:
Real-time classification of LIDAR data using discrete-time Recurrent Spiking Neural Networks. 1-9 - Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko:
Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing. 1-8 - Ziqiang Cui, Yixin Su, Fangquan Lin, Cheng Yang, Hanwei Zhang, Jihai Zhang:
Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation. 1-8 - Stavros Ntalampiras:
Learning relationships between audio signals based on reservoir networks. 1-6 - Davide Buffelli, Fabio Vandin:
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach. 1-8 - Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasuhiro Fujiwara:
Transfer Anomaly Detection for Maximizing the Partial AUC. 1-8 - Spyridon D. Kaftanis, Dimitrios A. Koutsomitropoulos:
Sentiment Text Analysis for Providing Individualized Feed of Recommendations Using Reinforcement Learning. 1-7 - Shifu Hou, Lingwei Chen, Yanfang Ye:
Summarizing Source Code from Structure and Context. 1-8 - Ankita Paul, Stefan Wagner, Anup Das:
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training. 1-10 - Jie Mei:
Marrying Convolution and Transformer for COVID-19 Diagnosis Based on CT Scans. 1-7 - Jia Hu, Xianghong Lin, Chu Wang:
MGCN: Dynamic Spatio-Temporal Multi-Graph Convolutional Neural Network. 1-9 - Longbin Jin, Eunyi Kim:
E-EmotiConNet: EEG-based Emotion Recognition with Context Information. 1-8 - Chao Zhang, Wei Xi, Xinhui Liu, Gairui Bai, Jingtong Sun, Fan Yu:
Unsupervised Multimodal Image-to-Image Translation: Generate What You Want. 1-8 - Guixian Zhang, Rongjiao Liang, Zhongyi Yu, Shichao Zhang:
Rumour Detection on Social Media with Long-Tail Strategy. 1-8 - Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Quaternion-Based Graph Contrastive Learning for Recommendation. 1-8 - Yi Fang, Shoudong Shi, Jingsen Fang, Wenting Yin:
SPRNet: Sitting Posture Recognition Using improved Vision Transformer. 1-6 - P. L. Ammar Ahmed, Archi Yadav, Avinash Sharma, Raju S. Bapi:
Multiple Kernel Learning for Modeling Resting State EEG Connectomes using Structural Connectivity of the Brain. 1-7 - Yuan Wang, Maoling Xu, Yanling Yan, Tingting Zhao, Yarui Chen, Jucheng Yang:
Exploring Topic Supervision with BERT for Text Matching. 1-7 - Radu Alexandru Rosu, Sven Behnke:
NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis. 1-7 - Pavan Dasari, Li Zhang, Yonghong Yu, Haoqian Huang, Rong Gao:
Human Action Recognition Using Hybrid Deep Evolving Neural Networks. 1-8 - Junjie Xu, Shuwen Yang, Luwei Xiao, Zhichao Fu, Xingjiao Wu, Tianlong Ma, Liang He:
Graph Convolution over the Semantic-syntactic Hybrid Graph Enhanced by Affective Knowledge for Aspect-level Sentiment Classification. 1-8 - Chen Li, Jun Bai, Chuanarui Wang, Yuanhao Hu, Wenge Rong, Zhang Xiong:
Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation. 1-8 - Zhuohan Xu, Zeheng Zhong, Bing Shi:
Deep Reinforcement Learning Based Resource Allocation Strategy in Cloud-Edge Computing System. 1-8 - Graham A. Bent, Chris Simpkin, Yuhua Li, Alun D. Preece:
Hyperdimensional Computing Using Time-To-Spike Neuromorphic Circuits. 1-8 - Yushan Feng, Fengxia Han, Shengjie Zhao:
A Graph Convolutional Stacked Temporal Attention Neural Network for Traffic Flow Forecasting. 1-7 - Pingping Zhu, José C. Príncipe:
Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method. 1-10 - Andy Ramlatchan, Yaohang Li:
Image Synthesis Using Conditional GANs for Selective Laser Melting Additive Manufacturing. 1-8 - Attila Kádár, Daniel Hadhazi:
FedLinked: A client-wise distilled representation based semi-supervised collaborative multitask learning scheme. 1-8 - Chenggen Wu, Feng Shuang, Hongxin Wang, Jiannan Zhao, Shigang Yue:
Dynamic Powerlines Detection for UAVs by Attention Fused Looming Detector. 1-8 - Guilherme Vieira, Marcos Eduardo Valle:
Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks. 1-8 - Kangjie Li:
Generative Adversarial Network-assisted Graph Convolutional Network (GANA-GCN). 1-8 - Hongyan Xu, Dadong Wang, Arcot Sowmya:
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis. 1-9 - Di Wu, Nai Wang, Jiale Zhang, Yuan Zhang, Yong Xiang, Longxiang Gao:
A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning. 1-8 - Haoran Li, Zicheng Duan, Jiaqi Li, Mingjun Ma, Yaran Chen, Dongbin Zhao:
Neurons Perception Dataset for RoboMaster AI Challenge. 1-8 - Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming:
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. 1-8 - Tang Xue, Yuran Zhao, Chaoqi Yang, Gongshen Liu, Xiaoyong Li:
SECT: A Successively Conditional Transformer for Controllable Paraphrase Generation. 1-8 - Jie Bai, Xianliang Jiang:
An Edge Computing based Defect Detection Algorithm for Malleable Iron. 1-8 - Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang:
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network. 1-7 - Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu:
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. 1-8 - Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Multiple Granularity Attention Network for Long Document Classification. 1-7 - Danilo Alves, Victor A. E. de Farias, Iago C. Chaves, Richard Chao, João Paulo Madeiro, João Paulo Pordeus Gomes, Javam C. Machado:
Detecting Customer Induced Damages in Motherboards with Deep Neural Networks. 1-8 - Paulo J. L. Adeodato, Sílvio B. Melo:
A geometric proof of the equivalence between AUC_ROC and Gini index area metrics for binary classifier performance assessment. 1-6 - Rom Uddamvathanak, Xin Zheng, Shirui Pan:
Joint Graph-Sequence Learning for Molecular Property Prediction. 1-6 - Chenxi Zhang, Chunming Wu:
Multi-Scale Attentive Feature Fusion Network for Single Image Dehazing. 1-7 - Jiayang Qiao, Yutong Liu, Linghe Kong:
GNN-Detective: Efficient Weakly Correlated Neighbors Distinguishing and Processing in GNN. 1-8 - Zilin Xiao, Yanan Sun:
Exploring the Effectiveness of Appearance Descriptor in DeepSORT. 1-8 - Julius Richter, Jeanine Liebold, Timo Gerkmann:
Continuous Phoneme Recognition based on Audio-Visual Modality Fusion. 1-8 - Amirhossein Hajavi, Ali Etemad:
Fine-grained Early Frequency Attention for Deep Speaker Recognition. 1-6 - Anton Lee, Heitor Murilo Gomes, Yaqian Zhang:
Balancing the Stability-Plasticity Dilemma with Online Stability Tuning for Continual Learning. 1-8 - Weidong Liu, Quanping Zhang, Wenbo Qiao:
Dirichlet Mixture Model of Hawkes Processes Based Patent User Role Discovery Model. 1-8 - Eduardo Rivas-Posada, Mario I. Chacon Murguia:
Analysis Regarding The Learning-To-Learn Process In The Implementation Of A Meta-Supervised Algorithm For Few-Shot Learning. 1-8 - Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel:
TracInAD: Measuring Influence for Anomaly Detection. 1-6 - R. G. Gayathri, Atul Sajjanhar, Yong Xiang:
Adversarial Training for Robust Insider Threat Detection. 1-8 - Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu:
Adaptive Resonance Theory-based Clustering for Handling Mixed Data. 1-8 - Benyu Dong, Chung-Ming Own, Qinghua Hu:
Domain Generalization via Maximum Intra-class Average Diameter Minimization. 1-8 - Jiankang Ren, Huawei Lv, Ran Bi, Qian Liu, Zheng Ni, Guozhen Tan:
Energy-Efficient Deep Neural Network Optimization via Pooling-Based Input Masking. 1-8 - Mireille el Assal, Pierre Tirilly, Ioan Marius Bilasco:
2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition. 1-8 - Chengcheng Li, Zi Wang, Hairong Qi:
Online Knowledge Distillation with History-Aware Teachers. 1-8 - Spencer Chang, José C. Príncipe:
Explaining Deep and ResNet Architecture Choices with Information Flow. 1-6 - Mansour Zoubeirou A. Mayaki, Michel Riveill:
Autoregressive based Drift Detection Method. 1-8 - Xiaohan Liu, Aimin Li, Deqi Liu, Dexu Yao, Mengfan Cheng:
Siamese Network Tracker by Attention Module and Relation Detector Module. 1-8 - Ryuichiro Hataya, Hideki Nakayama:
DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks. 1-8 - Rongguang He, Xiao Xiao, Yufan Kang, Hongyu Zhao, Wei Shao:
Heterogeneous Pointer Network for Travelling Officer Problem. 1-8 - Weijie Bai, Yunhua Chen, Ren Feng, Yuliang Zheng:
Accurate and Efficient Frame-based Event Representation for AER Object Recognition. 1-6 - Rushirajsinh Parmar, Minoru Kuribayashi, Hiroto Takiwaki, Mehul S. Raval:
On Fooling Facial Recognition Systems using Adversarial Patches. 1-8 - Guoyu Lu:
Image-based Localization for Self-driving Vehicles Based on Online Network Adjustment in A Dynamic Scope. 1-8 - Andrea Falanti, Eugenio Lomurno, Stefano Samele, Danilo Ardagna, Matteo Matteucci:
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique. 1-8 - Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
Event - Driven Tactile Learning with Location Spiking Neurons. 1-9 - Ruiming Lin, Lianglun Cheng, Tao Wang, Jianfeng Deng:
Trans-SBLGCN: A Transfer Learning Model for Event Logic Knowledge Graph Construction of Fault Diagnosis. 1-8 - Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang:
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. 1-8 - Zhe Wu, Kai Li, Hang Xu, Yifan Zang, Bo An, Junliang Xing:
L2E: Learning to Exploit Your Opponent. 1-8 - Gianluca Milano, Matteo Agliuzza, Natascia De Leo, Carlo Ricciardi:
Speech recognition through physical reservoir computing with neuromorphic nanowire networks. 1-6 - Guanxi Feng, Chao Ma, Linjiang Zhou, Libing Wu, Jingsheng Zhang, Xiaochuan Shi:
Points2Shapelets: A Salience-Guided Shapelets Selection Approach to Time Series Classification. 1-8 - Francesco Scala, Stefano Mangini, Chiara Macchiavello, Daniele Bajoni, Dario Gerace:
Quantum variational learning for entanglement witnessing. 1-8 - Weiqing Huang, Yangyang Zong, Zhixin Shi, Leiqi Wang, Pengcheng Liu:
PEPC: A Deep Parallel Convolutional Neural Network Model with Pre-trained Embeddings for DGA Detection. 1-8 - Ming Du, Luyi Cheng, Bo Xu, Zhijun Wang, Sufen Wang, Junyi Yuan, Changqing Pan:
TS-DST: A Two-Stage Framework for Schema-Guided Dialogue State Tracking with Selected Dialogue History. 1-8 - Tian Tian, Yudong Liu, Mengzhu Sun, Xi Zhang:
Multi-modal False Information Detection Based on Adversarial Learning. 1-9 - Hanwen Hu, Yirong Chen, Jingchao Ouyang, Shiyou Qian, Jian Cao, Han Han, Jie Wang, Michael D. Lepech:
@ME: A Fine-grained Route Recommendation System to Grab Impatient Passengers. 1-8 - Pranab Sahoo, Sriparna Saha, Samrat Mondal, Sujit Chowdhury, Suraj Gowda:
Computer-Aided COVID-19 Screening from Chest CT-Scan using a Fuzzy Ensemble-based Technique. 1-8 - Qichuan Yang, Liuxin Zhang, Yang Zhang, Jinghua Gao, Siyun Wang:
A Novel Distilled Generative Essay Polish System via Hierarchical Pre-Training. 1-7 - Hongsheng Li, Guangming Zhu, Wu Zhen, Lan Ni, Peiyi Shen, Liang Zhang, Ning Wang, Cong Hua:
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection. 1-8 - Janio Lima, Rebecca Salles, Fábio Porto, Rafaelli Coutinho, Pedro Alpis, Luciana E. G. Escobar, Esther Pacitti, Eduardo S. Ogasawara:
Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method. 1-8 - Junnan Huang, Chongkun Xia, Houde Liu, Bin Liang:
PAV-Net: Point-wise Attention Keypoints Voting Network for Real-time 6D Object Pose Estimation. 1-8 - Jing Ling, Jun Zhang, Jing Yang:
Improving Sociable Conversational Recommender Systems via Topic-related Preference Graph. 1-8 - Feng Xue, Weizhong Yan:
Multivariate Time Series Anomaly Detection with Few Positive Samples. 1-7 - Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi:
Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. 1-7 - Andrea Valenti, Davide Bacciu:
Leveraging Relational Information for Learning Weakly Disentangled Representations. 1-8 - Malte Rørmose Damgaard, Rasmus Pedersen, Thomas Bak:
A Probabilistic Programming Idiom for Active Knowledge Search. 1-9 - Jing Ni, Zubin Bhuyan, Qilei Chen, Xinzi Sun, Dechun Wang, Yu Cao, Benyuan Liu:
Enhance Chest X-ray Classification with Multi-image Fusion and Pseudo-3D Reconstruction. 1-8 - Shih-Kai Hung, John Q. Gan:
Boosting Facial Emotion Recognition by Using GANs to Augment Small Facial Expression Dataset. 1-8 - Mingjie Wei, Yunping Zhao, Jianzhuang Lu, Xiaowen Chen, Chen Li, Zerun Li:
Convolutional Neural Network Accelerator for Compression Based on Simon k-means. 1-7 - Shiying Sun, Hongduo Xu, Lingyao Sun, Yuanbo Fu, Yujia Zhang, Xiaoguang Zhao:
Hand Acupoint Detection from Images Based on Improved HRNet. 1-8 - Adalberto I. S. Oliveira, Antonio C. Leite, Wouter Caarls:
Intelligent Robust Control for Second-Order Non-Linear Systems with Smart Gain Tuning based on Reinforcement Learning. 1-8 - Ting Wang, Zongkai Wu, Zihan Liu, Donglin Wang:
Cluster-based Curriculum Learning for Vision-and-Language Navigation. 1-7 - Marco Oliva, Soubarna Banik, Josip Josifovski, Alois C. Knoll:
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control. 1-9 - Domenico Tortorella, Claudio Gallicchio, Alessio Micheli:
Spectral Bounds for Graph Echo State Network Stability. 1-8 - Yijun Zhao, Tanuja Chitnis:
Dirichlet Mixture of Gaussian Processes with Split-kernel: An Application to Predicting Disease Course in Multiple Sclerosis Patients. 1-8 - Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz:
Imbalanced Data Stream Classification Assisted by Prior Probability Estimation. 1-8 - Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi:
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language. 1-8 - Yulan Su, Yu Hong, Hongyu Zhu, Minhan Xu, Yifan Fan, Min Zhang:
Binary-perspective Asymmetrical Twin Gain: a Novel Evaluation Method for Question Generation. 1-8 - Russell Sammut Bonnici, Martin Benning, Charalampos Saitis:
Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks. 1-8 - Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. 1-8 - Changqin He, Guang Kou, Haoyu Zhang, Zhihui Hu:
Graph Topology Noise Aware Learning by Feature Clustering and Pseudo-labels Generator. 1-8 - Neelakshi Joshi, Pedro Victor Vieira de Paiva, Murillo Rehder Batista, Marcos Vinicius Cruz, Josué Junior Guimarães Ramos:
Improvements in Brazilian Portuguese Speech Emotion Recognition and its extension to Latin Corpora. 1-8 - Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
SUSing: SU-net for Singing Voice Synthesis. 1-7 - William Harvey, Michael Teng, Frank Wood:
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training. 1-8 - Aditya R. Bhattacharya, Shayok Chakraborty:
Deep Active Learning with Range Feedback for Facial Age Estimation. 1-9 - Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa:
Towards interpretable machine learning for clinical decision support. 1-8 - Ekansh Gupta, Raghupathy Sivakumar:
Wisdom of the Crowd: Using Multi-human Few-shot Learning to Improve Cross- User Generalization for Error Potentials in BCI Systems. 1-8 - Lingyong Fang, Gongshen Liu, Ru Zhang:
Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis. 1-8 - Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu:
Tiny RNN Model with Certified Robustness for Text Classification. 1-8 - Dengshi Li, Xiaocong Liang, Ruimin Hu, Lu Zeng, Xiaochen Wang:
$(\alpha, \ \beta)$-AWCS: $(\alpha, \ \beta)$-Attributed Weighted Community Search on Bipartite Graphs. 1-8 - Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello:
Hypercomplex Image- to- Image Translation. 1-8 - Weiguang Han, Jimin Huang, Qianqian Xie, Min Peng:
DGR: Decomposition Graph Reconstruction for Question Understanding. 1-8 - Xinzi Cao, Meng Yang, Guoying Sun:
Exploring Pixel Alignment on Shallow Feature for Weakly Supervised Object Localization. 1-8 - Santosh Kumar Yadav, Guntaas Singh, Manisha Verma, Kamlesh Tiwari, Hari Mohan Pandey, Ali Akbar Shaikh, Peter Corcoran:
YogaTube: A Video Benchmark for Yoga Action Recognition. 1-8 - Ayça Deniz, Hakan Ezgi Kiziloz:
Boosting Initial Population in Multiobjective Feature Selection with Knowledge-Based Partitioning. 1-8 - João Correia, Rafael Carreira, Vitor Pereira, Miguel Rocha:
Predicting the number of biochemical transformations needed to synthesize a compound. 1-8 - Zuhao Ge, Wenhao Yu, Xian Liu, Lizhe Qi, Yunquan Sun:
Density and Context Aware Network with Hierarchical Head for Traffic Scene Detection. 1-8 - Yangkai Lin, Suixin Ou:
Exploit Domain Knowledge: Smarter Abductive Learning and Its Application to Math Word Problems. 1-8 - William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm:
Evaluating Gaussian Grasp Maps for Generative Grasping Models. 1-9 - Wei Shao, Lei Huang, Shuqi Liu, Shihua Ma, Linqi Song:
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models. 1-9 - Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay:
Learning Point Processes using Recurrent Graph Network. 1-8 - Davide Liu, George Philippe Farajalla, Alexandre Boulenger:
BRec the Bank: Context-aware Self-attentive Encoder for Banking Products Recommendation. 1-8 - Eva Blanco-Mallo, João Carneiro, Goreti Marreiros, Beatriz Remeseiro, Verónica Bolón-Canedo:
When the best reviews are not placed between extremes. 1-8 - Zhaocheng Zhang, Gang Yang:
Exploring Attribute Space with Word Embedding for Zero-shot Learning. 1-8 - Jing Wang, Peipei Li, Kui Yu:
Partial Multi-Label Feature Selection. 1-9 - Fuyang Wei, Jianhui Zhao, Chudong Shan, Zhiyong Yuan:
Alignment and Multi-Scale Fusion for Visual-Tactile Object Recognition. 1-8 - Archit Parnami, Muhammad Usama, Liyue Fan, Minwoo Lee:
Privacy Enhancement for Cloud-Based Few-Shot Learning. 1-10 - Yujia Liu, Ming Jiang, Tingting Jiang:
LabelFool: A Trick In The Label Space. 1-8 - Lening Wang, Manojna Sistla, Mingsong Chen, Xin Fu:
BS-pFL: Enabling Low-Cost Personalized Federated Learning by Exploring Weight Gradient Sparsity. 1-8 - Zebao Zhang, Congmei Hu, Haiwei Pan, Yong Wang, Yuezhu Xu:
Aspect-Dependent Heterogeneous Graph Convolutional Network for Aspect-Level Sentiment Analysis. 1-8 - Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Region-based Cross-modal Retrieval. 1-8 - Zhe Li, Luoyi Fu:
A Relation-Aware Span-Level Transformer Network for Joint Entity and Relation Extraction. 1-8 - Sha Zhao, Yizhi Xu, Zhiling Luo, Jie Liu, Jindong Song, Shijian Li, Gang Pan:
Rapid Earthquake Magnitude Estimation Using Deep Learning. 1-8 - Matteo Munari, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicolò Navarin:
Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. 1-8 - Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo:
Less is more: Low-precision feature selection for wearables. 1-8 - Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp:
General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings. 1-10 - Issa Ayoub, Vincent Heiries, Hussein Al Osman:
Multimodal Affect Recognition Using Temporal Convolutional Neural Networks. 1-8 - Jayant Vyas, Nishit Bhardwaj, Bhumika, Debasis Das:
TransDBC: Transformer for Multivariate Time-Series based Driver Behavior Classification. 1-8 - Hongjia Li, Lingyu Yang, Lei Li, Chengyin Xu, Shu-Tao Xia, Chun Yuan:
PTS: A Prompt-based Teacher-Student Network for Weakly Supervised Aspect Detection. 1-8 - Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel:
Adversarial Multi - View Domain Adaptation for Regression. 1-8 - Yajing Sun, Yue Hu, Luxi Xing, Wei Peng, Yuqiang Xie, Xingsheng Zhang:
KC2UM: Knowledge-Conversation Cyclic Utilization Mechanism for Knowledge-Grounded Dialogue Generation. 1-8 - Victor E. De S. Silva, Tiago Lacerda, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula C. Furtado:
Federated Learning for Physical Violence Detection in Videos. 1-8 - Long Doan, Hieu Le, Huy Dang, Long Tran, Dao Hoang Long, Hai Minh Nguyen, Hanh Pham, Nam Nguyen, Ngoc Hoang Luong, Huynh Thi Thanh Binh:
TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search. 1-7 - Zhangtao Cheng, Joojo Walker, Ting Zhong, Fan Zhou:
Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering. 1-8 - Simon Heilig, Maximilian Münch, Frank-Michael Schleif:
Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels. 1-8 - Alexander Bartler, Florian Bender, Felix Wiewel, Bin Yang:
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision. 1-8 - Qian Zhou, Ming Yang, Shidong Chen, Hongzheng Yan:
Multi-modal Face Anti-spoofing Using Multi-fusion Network and Global Depth-wise Convolution. 1-8 - Yao Cheng, Hao-Zhou Hao, Yi Ji, Ying Li, Chunping Liu:
Attention-based Neighbor Selective Aggregation Network for Camouflaged Object Detection. 1-8 - Qianhao Luo, Xin Liu, Huaqiang Yuan, Xiaojian Wang, Yongyi Wang, Wei He, Weiling Li:
A Bi-branch Dark Channel Differential Convolutional Neural Network for Occupational Pneumoconiosis Staging. 1-7 - Kenny Schlegel, Peer Neubert, Peter Protzel:
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing. 1-8 - Jiongyu Guo, Defang Chen, Can Wang:
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. 1-8 - Alessio Verdone, Simone Scardapane, Massimo Panella:
Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks. 1-8 - Baoli Wang, Xinxin Fan, Quanliang Jing, Yueyang Su, Jingwei Li, Jingping Bi:
GTAT: Adversarial Training with Generated Triplets. 1-8 - Xingyu Zhu, Jin Wang, Xuejie Zhang:
An Enhanced Key-utterance Interactive Model with Decouped Auxiliary Tasks for Multi-party Dialogue Reading Comprehension. 1-8 - Fangtao Zhang, Xiu Ma, Weiqing Huang:
SeqA-ITD: User Behavior Sequence Augmentation for Insider Threat Detection at Multiple Time Granularities. 1-7 - Xiaolin Liang, Yajuan Huang, Wen Liu, He Zhu, Zhao Liang, Libo Chen:
TRICAN: Multi-Modal Hateful Memes Detection with Triplet-Relation Information Cross-Attention Network. 1-8 - Bea Waelbers, Stefano Bromuri, Alexander P. Henkel:
Comparing Neural Networks for Speech Emotion Recognition in Customer Service Interactions. 1-8 - Jiaqi Ye, Xiaodong Li, Yingying Wang:
A Multi-Agent Deep Reinforcement Learning Framework for VWAP Strategy Optimization. 1-8 - Jincheng Huang, Ping Li, Kai Zhang:
Semantic consistency for graph representation learning. 1-8 - Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao:
Leveraging Causal Inference for Explainable Automatic Program Repair. 1-6 - Zhihan Yang, Zhiyong Wu, Jia Jia:
Speaker Characteristics Guided Speech Synthesis. 1-8 - Kyle Naddeo, Nidhal Bouaynaya, Roman Shterenberg:
An Information Geometric Perspective to Adversarial Attacks and Defenses. 1-8 - Yongli Sun, Wenpeng Li, Junliang Cao, Zhifeng Zhao, Hua Wei, Dingxin Yan, Guangze Sun, Gang Wang:
SCAN: Stronger Collaborative Attention Network for Vehicle Re-Identification. 1-8 - Yunlong Li, Shu Lin, Chang Liu, Qingjie Kong:
The Defects Detection in Steel Coil End Face Based on SCED-Net. 1-6 - Javier Huertas-Tato, Alejandro Martín, Álvaro Huertas-García, David Camacho:
Generating Authorship Embeddings with Transformers. 1-8 - Etienne Gael Tajeuna, Mohamed Bouguessa:
Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data. 1-10 - Hongxi Wei, Chao He:
Joint Learning Method Based On Transformer For Image Retrieval. 1-7 - Jian Lan, Runfeng Shi, Ye Cao, Jiancheng Lv:
Knowledge Graph-based Conversational Recommender System in Travel. 1-8 - J. Alex Hurt, James Keller, Grant J. Scott:
Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN. 1-9 - Jiameng Pan, Xiaoguang Zhu, Peilin Liu:
Generating Adaptive Targeted Adversarial Examples for Content-Based Image Retrieval. 1-9 - Weiheng Liu, Yitao Yang, Jinghui Zhong:
Towards Dual-Modal Crowd Density Forecasting in Transportation Building. 1-8 - Alejandro Romero, Justus H. Piater, Francisco Bellas, Richard J. Duro:
ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture. 1-8 - Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Nguyen Thanh Binh, Pål Halvorsen, Michael A. Riegler:
Parallel feature selection based on the trace ratio criterion. 1-8 - Susmita Palmal, Sriparna Saha, Somanath Tripathy:
HIV-1 Protease Cleavage Site Prediction using Stacked Autoencoder with Ensemble of Classifiers. 1-8 - Dali Zhu, Xianjin Huang, Nan Li, Hongju Sun, Meichen Liu, Jiguo Liu:
RAP-Net: A Resource Access Pattern Network for Insider Threat Detection. 1-8 - Hemant Kumawat, Saibal Mukhopadhyay:
Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection. 1-8 - Sifatul Mostafi, Taghreed Alghamdi, Khalid Elgazzar:
RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization. 1-6 - Mohd Ismail Lakhani, James McDermott, Frank G. Glavin, Sai Priya Nagarajan:
Facial Expression Recognition of Animated Characters using Deep Learning. 1-9 - Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernández Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez:
Enhanced Perspective Generation by Consensus of NeX neural models. 1-8 - Chengpei Wu, Yang Lou, Ruizi Wu, Wenwen Liu, Junli Li:
CNN-based Prediction of Network Robustness With Missing Edges. 1-8 - You Qin, Zhi Wang, Chunlin Chen:
HRL2E: Hierarchical Reinforcement Learning with Low-level Ensemble. 1-7 - Ziang Huang, Ziming Wang, Haopeng Chen, Zhengtong Zhang, Jiansi Wang, Zhuo Yuan, Ying Jin, Xiaofeng Wu:
EA-VTP: Environment-Aware Long-Term Vessel Trajectory Prediction. 1-7 - Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li:
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. 1-8 - Islam Nasr, Lobna Nassar, Fakhri Karray:
Transfer Learning Framework for Forecasting Fresh Produce Yield and Price. 1-8 - Yunpeng Bai, Chun Yuan:
Contrastive Learning in Wavelet Domain for Image Dehazing. 1-7 - Kwun Ho Ngan, Artur S. d'Avila Garcez, Joseph Townsend:
Extracting Meaningful High-Fidelity Knowledge from Convolutional Neural Networks. 1-17 - Anne Marthe Sophie Ngo Bibinbe, Michael Franklin Mbouopda, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo:
A survey on unsupervised learning algorithms for detecting abnormal points in streaming data. 1-8 - Yunpeng Li, Yue Hu, Ping Guo:
A Robust De-noising Method via Training Loss for Distantly Supervised Relation Extraction. 1-9 - Félix Gaschi, François Plesse, Parisa Rastin, Yannick Toussaint:
Multilingual Transformer Encoders: a Word-Level Task-Agnostic Evaluation. 1-8 - Yujuan Tan, Zhichao Zhang, Zhulin Ma, Yanlin Zhou, Duo Liu:
Towards the Design of Efficient TCN-bascd Prefetcher for Hybrid NVM-DRAM Memory. 1-9 - Norbert Michael Mayer, Oliver Obst:
Analyzing Echo-state Networks Using Fractal Dimension. 1-8 - Robert A. Marsden, Felix Wiewel, Mario Döbler, Yang Yang, Bin Yang:
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer. 1-8 - Ziwei Wang, Martin A. Trefzer, Simon J. Bale, Andy M. Tyrrell:
A Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN. 1-8 - Amanda Camacho Novaes de Oliveira, Daniel R. Figueiredo:
Network Connectivity and Learning Performance on Restricted Boltzmann Machines. 1-8 - Andrew Flynn, Oliver Heilmann, Daniel Köglmayr, Vassilios A. Tsachouridis, Christoph Räth, Andreas Amann:
Exploring the limits of multifunctionality across different reservoir computers. 1-8 - Sai Saketh Rambhatla, Michael J. Jones, Rama Chellappa:
An Empirical Analysis of Boosting Deep Networks. 1-9 - Alfin Junaedy, Hiroyuki Masuta, Kei Sawai, Tatsuo Motoyoshi, Noboru Takagi:
Development of Robot Control Interface with Multi-Bandwidth Communication. 1-8 - Guangbin Wang, Yuxin Ding, Zhibin Xie, Yubin Ma, Zihan Zhou, Wen Qian:
RotatGAT: Learning Knowledge Graph Embedding with Translation Assumptions and Graph Attention Networks. 1-7 - Jian Luo, Jianzong Wang, Ning Cheng, Haobin Tang, Jing Xiao:
Speech Augmentation Based Unsupervised Learning for Keyword Spotting. 1-7 - Yue Han, Haiyin Piao, Yaqing Hou, Yang Sun, Zhixiao Sun, Deyun Zhou, Shengqi Yang, Xuanqi Peng, Songyuan Fan:
Deep Relationship Graph Reinforcement Learning for Multi-Aircraft Air Combat. 1-8 - Qingqing Yi, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Chinese Sentence-level Event Factuality Identification with Recursive Neural Network. 1-8 - Sachin Kumar, Zairu Nisha:
Does Social Media Feed Tell about Your Mental State? A Deep Randomised Neural Network Approach. 1-8 - Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao:
A Fair Federated Learning Framework With Reinforcement Learning. 1-8 - Alexander Gepperth:
A new perspective on probabilistic image modeling. 1-10 - Yang Wu, Wenli Huang, Siqi Hui, Jinjun Wang:
Learning Knowledge Graph Embedding with Batch Circle Loss. 1-8 - Zhengwu Luo, Lina Wang, Run Wang, Kang Yang, Aoshuang Ye:
Improving Robustness Verification of Neural Networks with General Activation Functions via Branching and Optimization. 1-8 - Santosh Kumar Yadav, Palaash Agrawal, Kamlesh Tiwari, Ehsan Adeli, Hari Mohan Pandey, Ali Akbar Shaikh:
WTM: Weighted Temporal Attention Module for Group Activity Recognition. 1-8 - Deepak Mohapatra, Ankush Ojha, Harshad Khadilkar, Supratim Ghosh:
Gatekeeper: A deep reinforcement learning-cum-heuristic based algorithm for scheduling and routing trains in complex environments. 1-7 - Jiangwei Li, Jinghui Zhong:
Building an Efficient Retrieval-based Dialogue System with Contrastive Learning. 1-8 - Yiwei Fu, Feng Xue:
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series. 1-8 - Takuya Kanazawa:
One-Parameter Family of New Acquisition Functions for Efficient Global Optimization. 1-8 - Weiwei Li, Jin Chen, Yuqing Lu, Zhiqiu Huang:
Filling Missing Labels in Label Distribution Learning by Exploiting Label-Specific Feature Selection. 1-8 - Hangyu Deng, Jinglu Hu:
Improving Sequential Recommendation via Subsequence Extraction. 1-8 - Omobayode Fagbohungbe, Lijun Qian:
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models. 1-9 - Chamara Kasun Liyanaarachchi Lekamalage, Zhiping Lin, Guang-Bin Huang, Jagath Chandana Rajapakse:
Cascaded Adversarial Learning for Speaker Independent Emotion Recognition. 1-8 - Xianmu Cairang, Duoji Zhaxi, Xiaolong Yang, Yan Hou, Qijun Zhao, Dingguo Gao, Pubu Danzeng, Dorji Gesang:
Learning Generalisable Representations for Offline Signature Verification. 1-7 - Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang:
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. 1-8 - Yuanze Zheng, Shengrong Zhao, Hu Liang, Na Li:
WPNet: Wide Pyramid Network for Recognition of HER2 Expression Levels in Breast Cancer Evaluation. 1-9 - Chenhao Fu, Bailin Yang, Shi Meng:
Label Distribution Learning Based on Square Root Pearson. 1-7 - Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan:
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification. 1-8 - Yinghui Li, Chen Wang, Yangning Li, Hai-Tao Zheng, Ying Shen:
Learning Purified Feature Representations from Task-irrelevant Labels. 1-8 - Jingtong Sun, Wei Xi, Gairui Bai, Xinhui Liu, Fan Yu, Chao Zhang:
ACFNet: An Adaptive Context Fusion Network for Skin Lesion Segmentation. 1-8 - Yang Liu, Jing Liu, Wei Ni, Liang Song:
Abnormal Event Detection with Self-guiding Multi-instance Ranking Framework. 1-7 - Anwesh Bhattacharya, Marios Mattheakis, Pavlos Protopapas:
Encoding Involutory Invariances in Neural Networks. 1-8 - Ran Dou, José C. Príncipe:
The Extended Kernel Adaptive Autoregressive-Moving-Average Algorithm. 1-6 - Markus Zopf:
Effective and Interpretable Information Aggregation with Capacity Networks. 1-8 - Shaowei Yin, Yan Yang, Jijie Zhang, Tianqi Zhou:
Adaptive Graph Convolutional Networks based on Decouple and Residuals to relieve Over-Smoothing. 1-8 - Fangzhou Xiong, Dongchun Ren, Mingyu Fan, Shuguang Ding, Zhiyong Liu:
Safety-based Reinforcement Learning Longitudinal Decision for Autonomous Driving in Crosswalk Scenarios. 1-8 - Yiting Liu, Hao Li, Maoguo Gong, Jieyi Liu, Yue Wu, Mingyang Zhang, Jiao Shi:
Evolutionary Multitasking CNN Architecture Search for Hyperspectral Image Classification. 1-8 - Canlin Zhang, Xiuwen Liu:
Dense Embeddings Preserving the Semantic Relationships in WordNet. 1-8 - Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, María M. García, Rafael Bello:
Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation. 1-10 - Alice Hein, Stefan Röhrl, Thea Grobel, Manuel Lengl, Nawal Hafez, Martin Knopp, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold:
A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification. 1-8 - Peibo Li, Yixing Yang, Maurice Pagnucco, Yang Song:
CoGNet: Cooperative Graph Neural Networks. 1-8 - Quynh Tran, Krystsina Shpileuskaya, Elaine Zaunseder, Larissa Putzar, Sven Blankenburg:
Comparing the Robustness of Classical and Deep Learning Techniques for Text Classification. 1-10 - Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. 1-8 - Guillaume Levasseur, Hugues Bersini:
Time Series Representation for Real-World Applications of Deep Neural Networks. 1-8 - Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng:
Perturbed Gradients Updating within Unit Space for Deep Learning. 1-8 - Junwei Zhang, Zhao Li, Jianmao Xiao, Ming Li:
Neural Network Model Reconstructed from Entangled Quantum States. 1-8 - Sergei Chuprov, Igor Khokhlov, Leon Reznik, Srujan Shetty:
Influence of Transfer Learning on Machine Learning Systems Robustness to Data Quality Degradation. 1-8 - Sean L. McDaniel, Marisel Villafañe-Delgado, Erik C. Johnson:
Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure. 1-8 - Zhiling Jin, Jing Xu, Ruiqi Huang, Wei Shao, Xiao Xiao:
STM2CN: A Multi-graph Attention-based Framework for Sensor Data Prediction in Smart Cities. 1-8 - Johannes Schneider:
Domain Transformer: Predicting Samples of Unseen, Future Domains. 1-8 - Han Xia, Yiran Wang, Xiaoru Wang, Songkai Xiong, Zhihong Yu:
HKE-GCN: Heatmaps-guided Keypoints Encoder and Graph Convolutional Network for Human Pose Estimation. 1-8 - Ken Lin, Aihua Mao, Jiangfeng Liu:
Regulating Balance Degree for More Reasonable Visual Question Answering Benchmark. 1-7 - Yoshinari Motokawa, Toshiharu Sugawara:
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise. 1-8 - Shaoli Tian, Jun Sang, Xin Qiao, Xinyue Liu, Kai Liu, Xiaofeng Xia:
Crowd Counting based on Density Map Dynamic Refinement. 1-7 - Yajing Sun, Yue Hu, Luxi Xing, Yuqiang Xie, Wei Peng, Yunpeng Li:
Exploiting Semantic and Syntactic Diversity for Diverse Task-oriented Dialogue. 1-8 - Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp:
Learning Intrinsic Symbolic Rewards in Reinforcement Learning. 1-8 - Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed:
Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. 1-6 - Ming-fei Hu, Ze-Yu Liu, Jianwei Liu:
Learning Unsupervised Disentangled Capsule via Mutual Information. 1-8 - Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. 1-8 - Xiyao Ma, Zheng Gao, Qian Hu, Mohamed Abdelhady:
HCL: Hybrid Contrastive Learning for Graph-based Recommendation. 1-8 - Yoshitsugu Kakemoto, Shinichi Nakasuka:
The Role of Chaotic Neural Networks in EVSF-Network. 1-8 - Vineet Kotariya, Udayan Ganguly:
Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding. 1-7 - Sukannya Purkayastha, Saswati Dana, Dinesh Garg, Dinesh Khandelwal, G. P. Shrivatsa Bhargav:
A Deep Neural Approach to KGQA via SPARQL Silhouette Generation. 1-8 - Danyang Xiao, Bokai Cao, Weigang Wu:
EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments. 1-10 - Weihang Chen, Li Zhang, Ming Jiang:
Failure Mode Identification of Elastomer for Well Completion Systems using Mask R-CNN. 1-8 - Fanfan Ye, Liang Ma, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning. 1-8 - Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu:
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. 1-8 - David Fisher, Rishabh Choudhary, Omar Alsayed, Simona Doboli, Ali A. Minai:
A Real-Time Semantic Model for Relevance and Novelty Detection from Group Messages. 1-8 - Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco:
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. 1-8 - Walker L. Dimon, Nicholas B. Chase, Neale Van Stralen, Rupal Nigam, Michael F. Lembeck, Huy T. Tran:
D-AnoGAN: Anomaly Detection in Disconnected Data Manifolds with Generative Adversarial Networks. 1-9 - Cuc Duong, Qian Liu, Rui Mao, Erik Cambria:
Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence. 1-9 - Qinhua Jenny Sun, Khuong Vo, Kitty Lui, Michael D. Nunez, Joachim Vandekerckhove, Ramesh Srinivasan:
Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals. 1-9 - Vidhya Kamakshi, Narayanan C. Krishnan:
Explainable Supervised Domain Adaptation. 1-8 - Rafael Pedro, Arlindo L. Oliveira:
Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions. 1-8 - Sofiane Elguendouze, Marcilio C. P. de Souto, Adel Hafiane, Anaïs Lefeuvre-Halftermeyer:
Towards Explainable Deep Learning for Image Captioning through Representation Space Perturbation. 1-8 - Kai Chen, Yongqiang Ma, Mingyang Sheng, Nanning Zheng:
Foreground-attention in neural decoding: Guiding Loop-Enc-Dec to reconstruct visual stimulus images from fMRI. 1-8 - Nassim Abderrahmane, Benoît Miramond, Erwann Kervennic, Adrien Girard:
SPLEAT: SPiking Low-power Event-based ArchiTecture for in-orbit processing of satellite imagery. 1-10 - Linze Luo, Baisong Liu:
Dual-Contrastive for Federated Social Recommendation. 1-8 - Francesco Pelosin, Andrea Torsello:
Smaller is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning. 1-8 - Hazim Hanif, Sergio Maffeis:
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection. 1-8 - Piotr Luczak, Krzysztof Slot, Jacek Kucharski:
Combining Deep Convolutional Feature Extraction with Hyperdimensional Computing for Visual Object Recognition. 1-8 - Jinwei Liu, Yan Li, Guitao Cao, Yong Liu, Wenming Cao:
Feature Pyramid Vision Transformer for MedMNIST Classification Decathlon. 1-8 - Borun Chen, Rongyi Sun, Yimeng Dai, Hai-Tao Zheng, Rui Zhang:
LordBERT: Embedding Long Text by Segment Ordering with BERT. 1-8 - Mirko Polato, Roberto Esposito, Marco Aldinucci:
Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent. 1-10 - Guillaume Baril, Patrick Cardinal, Alessandro Lameiras Koerich:
Named Entity Recognition for Audio De-Identification. 1-8 - Deepankar Nankani, Rashmi Dutta Baruah:
Atrial Fibrillation Classification and Prediction Explanation using Transformer Neural Network. 1-8 - Alexander Gepperth:
Large-scale gradient-based training of Mixtures of Factor Analyzers. 1-6 - Andersson A. Da Silva, Amanda S. Xavier, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira:
An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data. 1-8 - Kunyuan Pang, Shasha Li, Jintao Tang, Ting Wang:
Multi-source Representation Enhancement for Wikipedia-style Entity Annotation. 1-8 - Hefei Ling, Shuhui Pan, Yuxuan Shi, Qingsong Li, Ping Li:
A Triplet Deviation Network Framework: Boosting Weakly-supervised Anomaly Detection By Ensemble Learning. 1-8 - Xiu Ma, Leiqi Wang, Qiujian Lv, Yan Wang, Qi Zhang, Jianguo Jiang:
CyEvent2vec: Attributed Heterogeneous Information Network based Event Embedding Framework for Cyber Security Events Analysis. 1-8 - Jin Zhou, Zhenhua Wang, Jiajun Meng, Sheng Liu, Jianhua Zhang, Shengyong Chen:
Human Interaction Recognition with Skeletal Attention and Shift Graph Convolution. 1-8 - Miguel Leon, Tijana Markovic, Sasikumar Punnekkat:
Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification. 1-8 - Yawen Lu, Guoyu Lu:
An Unsupervised Approach for Simultaneous Visual Odometry and Single Image Depth Estimation. 1-8 - Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Graph iForest: Isolation of anomalous and outlier graphs. 1-8 - Huaji Zhou, Zichen Zhou, Jing Bai:
Electromagnetic Signal Modulation Classification Based on Multimodal Features and Reinforcement Learning. 1-7 - Guochao Zhao, Yan Guo, Fengliang Xia, Chengcheng Ma:
A Multimodal Method for Chinese Spelling Correction. 1-7 - Matteo Cardaioli, Alessio Miolla, Mauro Conti, Giuseppe Sartori, Merylin Monaro, Cristina Scarpazza, Nicolò Navarin:
Face the Truth: Interpretable Emotion Genuineness Detection. 1-8 - Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu:
Sample Condensation in Online Continual Learning. 1-8 - Filip Cornell, Jussi Karlgren, Animesh, Sarunas Girdzijauskas:
Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks. 1-8 - Rongrong Jing, Hu Tian, Xingwei Zhang, Gang Zhou, Xiaolong Zheng, Daniel Zeng:
Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval. 1-8 - Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser:
Asymptotic Stability in Reservoir Computing. 1-8 - Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J., Shalabh Bhatnagar:
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm. 1-10 - Duo Xu, Faramarz Fekri:
Integrating Symbolic Planning and Reinforcement Learning for Following Temporal Logic Specifications. 1-8 - Devdhar Patel, Ignacio Gavier, Joshua Russell, Andrew Malinsky, Edward A. Rietman, Hava T. Siegelmann:
Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation. 1-8 - He Zhang, Hanling Zhang:
A Review of Micro-expression Recognition based on Deep Learning. 1-8 - Chang Kong, Qiuming Luo, Guoliang Chen:
Learning Deep Contrastive Network for Facial Age Estimation. 1-7 - Fábio Lima, Tsang Ing Ren, Alexandre Costa:
Wind Power Forecast Based on Transformers and Clustering of Wind Farms with Temporal and Spatial Interdependence. 1-6 - Yiming Zhan, Zhao Li, Xiuhao Zhao, Chao Zhang, Tong Chen:
A Simple Overlapping Relation Extraction Method Based on Dropout. 1-8 - Pallabi Saikia, Kshitij Gundale, Ankit Jain, Dev Jadeja, Harvi Patel, Mohendra Roy:
Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach. 1-8 - Shike Wang, Wen Zhang, Wenyu Guo, Dong Yu, Pengyuan Liu:
Contrastive Learning Based Visual Representation Enhancement for Multimodal Machine Translation. 1-8 - Ghassan Dabane, Laurent U. Perrinet, Emmanuel Daucé:
What You See Is What You Transform: Foveated Spatial Transformers as a bio-inspired attention mechanism. 1-8 - Jianpeng Ke, Lina Wang, Aoshuang Ye, Jie Fu:
Combating Multi-level Adversarial Text with Pruning based Adversarial Training. 1-8 - Ashish Ramayee Asokan, Nidarshan Kumar, Anirudh Venkata Ragam, Shylaja S. Sharath:
Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors. 1-8 - Elena Goyanes, Joaquim de Moura, Jorge Novo, José Ignacio Fernández-Vigo, José Ángel Fernández-Vigo, Marcos Ortega:
Fully-automatic segmentation of the ciliary muscle using anterior segment optical coherence tomography images. 1-8 - Jifeng Sun, Wentao Fu, Jianwu Lin, Yong Jiang, Shu-Tao Xia:
Deep Portfolio Optimization Modeling based on Conv-Transformers with Graph Attention Mechanism. 1-8 - Abhishek Joshi, Sathish Chalasani, Kiran Nanjunda Iyer:
Semantic Driven Energy based Out-of-Distribution Detection. 1-8 - Weronika Borek, Pawel Ksieniewicz:
Inductive Parallel Learning for Multiple Classification Problems. 1-8 - Bowen Liang, Guosheng Kang, Jianxun Liu, Buqing Cao, Jiayan Xiang:
Attentional Neural Factorization Machine for Web Services Classification via Exploring Content and Structural Semantics. 1-8 - Qianying Liao, Bruno Cabral, João Paulo Fernandes, Nuno Lourenço:
Herb: Privacy-preserving Random Forest with Partially Homomorphic Encryption. 1-10 - Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang:
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. 1-8 - Zhanyi Chen, Changqun Li, Linlin Wang, Liang He:
Abstractive Dialogue Summarization Based on Dynamic Pattern Exploiting Training. 1-7 - Grégor Jouet, Clément Duhart, Jacopo Staiano, Francis Rousseaux, Cyril de Runz:
A Novel Gradient Accumulation Method for Calibration of Named Entity Recognition Models. 1-8 - Carla Pacheco, Mário Guimarães, Eduardo Bezerra:
Exploring Data Preprocessing and Machine Learning Methods for Forecasting Worldwide Fertilizers Consumption. 1-8 - Senwen Li, Liang Ge, Yongquan Lin, Bo Zeng:
Adaptive Spatial-Temporal Fusion Graph Convolutional Networks for Traffic Flow Forecasting. 1-8 - Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. 1-8 - Zi-Hao Cheng, Jian-Wei Liu, Ze Cao:
Hypergraph Neural Network Hawkes Process. 1-6 - Hui Song, A. Kai Qin, Chenggang Yan:
Multi-task Optimization Based Co-training for Electricity Consumption Prediction. 1-8 - Daniele Giunchi, Alejandro Sztrajman, Anthony Steed:
Fast Blue-Noise Generation via Unsupervised Learning. 1-6 - Javier Del Ser, Miren Nekane Bilbao, Ibai Laña, Khan Muhammad, David Camacho:
Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks. 1-7 - Jérémie Cabessa:
Turing Computation with Neural Networks Composed of Synfire Rings. 1-8 - Leonardo Kanashiro Felizardo, Elia Yathie Matsumoto, Emilio Del-Moral-Hernandez:
Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise. 1-8 - Toshimitsu Aritake, Hideitsu Hino:
Domain Adaptation with Optimal Transport for Extended Variable Space. 1-9 - Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. 1-8 - Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin:
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. 1-8 - Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
MDCNN-SID: Multi-scale Dilated Convolution Network for Singer Identification. 1-7 - Junhong Wan, Yao Fu, Weihao Jiang, Shiliang Pu, Junlan Yu:
Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion. 1-9 - Kaipeng Zheng, Liu Cheng, Jie Shen:
Dynamic Relation-Aware Multiple Instance Learning for Few-Shot Learning. 1-6 - Zheyu Ying, Jinglei Zhang, Rui Xie, Guochang Wen, Feng Xiao, Xueyang Liu, Shikun Zhang:
3Rs: Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition. 1-8 - João Machado de Freitas, Sebastian Berg, Bernhard C. Geiger, Manfred Mücke:
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering. 1-8 - Miles Q. Li, Benjamin C. M. Fung, Adel Abusitta:
On the Effectiveness of Interpretable Feedforward Neural Network. 1-8 - Yiyan Huang, Cheuk Hang Leung, Qi Wu, Xing Yan, Shumin Ma, Zhiri Yuan, Dongdong Wang, Zhixiang Huang:
Robust Causal Learning for the Estimation of Average Treatment Effects. 1-9 - Francesco Bardozzo, Mattia delli Priscoli, Toby Collins, Antonello Forgione, Alexandre Hostettler, Roberto Tagliaferri:
Cross X-AI: Explainable Semantic Segmentation of Laparoscopic Images in Relation to Depth Estimation. 1-8 - Jingke She, Shanshan Gong, Suyuan Yang, Hantao Yang, Shaofei Lu:
Xigmoid: An Approach to Improve the Gating Mechanism of RNN. 1-10 - Yanxin Song, Jianzong Wang, Tianbo Wu, Zhangcheng Huang, Jing Xiao:
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning. 1-7 - Lidia Ghosh, Mousumi Laha, Amit Konar, Saugat Bhattacharya, Atulya K. Nagar:
Fuzzy Relational Approach to Determine Functional Brain Connectivity in Learning Tasks for Dyslexia Children Using an f-NIRS Device. 1-8 - Aoshuang Ye, Lina Wang, Lei Zhao, Jianpeng Ke:
DANCe: Dynamic Adaptive Neuron Coverage for Fuzzing Deep Neural Networks. 1-8 - Pindi Krishna Chandra Prasad, Yash Khare, Kamalaker Dadi, P. K. Vinod, Bapi Raju Surampudi:
Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder. 1-8 - Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Reverse Adversarial Attack To Enhance Environmental Sound Classification. 1-9 - Hengye Yang, Joy Putney, Usama Bin Sikandar, Pingping Zhu, Simon Sponberg, Silvia Ferrari:
A Relative Spike-Timing Approach to Kernel-Based Decoding Demonstrated for Insect Flight Experiments. 1-7 - Francesco Rundo, Angelo Alberto Messina, Michele Calabretta, Matteo Dilonardo, Salvatore Coffa, Concetto Spampinato:
Deep Learning Car Driver Motion Magnified Saccadic Eye Movements for Advanced Driving Assistance System. 1-9 - Adriell Gomes Marques, Luís Fabrício de F. Souza, Matheus Araujo dos Santos, José Jerovane da Costa Nascimento, Róger Moura Sarmento, Iago Belarmino Lucena, Iágson Carlos Lima Silva, Pedro Pedrosa Rebouças Filho:
Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning. 1-8 - Soha A. Nossier, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings:
Two-Stage Deep Learning Approach for Speech Enhancement and Reconstruction in The Frequency and Time Domains. 1-10 - Alessandro Avi, Andrea Albanese, Davide Brunelli:
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors. 1-8 - Nguyen Hong Ngoc, Alvin Chan, Huynh Thi Thanh Binh, Yew Soon Ong:
Anti-Forensic Deepfake Personas and How To Spot Them. 1-8 - James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song:
Concentric Spherical Neural Network for 3D Representation Learning. 1-8 - Xiaomeng Fu, Xi Wang, Jin Liu, Wantao Liu, Jiao Dai, Jizhong Han:
MakeItSmile: Detail-Enhanced Smiling Face Reenactment. 1-8 - Bogdan Gulowaty, Michal Wozniak:
Search-based framework for transparent non-overlapping ensemble models. 1-6 - Sergiy Tkachuk, Anna Wróblewska, Jacek Dabrowski, Szymon Lukasik:
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings. 1-7 - Ali Safa, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen:
Event Camera Data Classification Using Spiking Networks with Spike-Timing-Dependent Plasticity. 1-8 - Yang Zhang, Huiyong Li, Tao Ren, Yuanbo Dou, Qingfeng Li:
Multi-scale Fusion and Global Semantic Encoding for Affordance Detection. 1-8 - Petr Simánek, Daniel Vasata, Pavel Kordík:
Learning to Optimize with Dynamic Mode Decomposition. 1-8 - Jiaxuan Chen, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Proposal of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip. 1-7 - Huailiang Peng, Yujun Zhang, Hao Sun, Xu Bai, Yangyang Li, Shuhai Wang:
Domain-Aware Federated Social Bot Detection with Multi-Relational Graph Neural Networks. 1-8 - Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri:
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. 1-17 - Babatunde Kazeem Olorisade, Pearl Brereton, Peter Andras:
Structural Complexity and Performance of Support Vector Machines. 1-8 - Takumi Suda, Daniel Nikovski:
Deep Reinforcement Learning for Optimal Sailing Upwind. 1-8 - Arijit Ukil, Leandro Marín, Antonio Jara:
ADV-ResNet: Residual Network with Controlled Adversarial Regularization for Effective Classification of Practical Time Series Under Training Data Scarcity Problem. 1-8 - Jun Feng, Haichao Sha, Yukai Ding, Le Yan, Zhangheng Yu:
Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting. 1-8 - Vincenzo Stefano D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita:
The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models. 1-10 - Wanying Wu, Pengzhi Zhong, Shuiwang Li:
Fisher Pruning for Real-Time UAV Tracking. 1-7 - Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer:
Localization of Concept Drift: Identifying the Drifting Datapoints. 1-9 - Amir Jalilifard, Adriano Alonso Veloso:
Drug Repurposing Opportunities in Shapley Space. 1-8 - Yimin Yang, Siamak Mehrkanoon:
AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks. 1-8 - Kuo-Yun Liang, Abhishek Srinivasan, Juan Carlos Andresen:
Modular Federated Learning. 1-8 - Lijun Zha, Le Dai, Tong Xu, Di Wu:
A Hierarchical Reinforcement Learning Framework for Stock Selection and Portfolio. 1-7 - Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun:
Spikemax: Spike-based Loss Methods for Classification. 1-7 - Swapna Sasi, Taher Yunus Lilywala, Basabdatta Sen Bhattacharya:
Optimising hyperparameter search in a visual thalamocortical pathway model. 1-8 - Hongying Ma, Wuyang Xue, Rendong Ying, Peilin Liu:
MaxEnt Dreamer: Maximum Entropy Reinforcement Learning with World Model. 1-9 - Sriram Pingali, Prabir Mondal, Daipayan Chakder, Sriparna Saha, Angshuman Ghosh:
Towards Developing a Multi-Modal Video Recommendation System. 1-8 - Qiongzan Ye, Yangbo Gao, Zhenhua Zhang, Yu Chen, Yupeng Li, Min Gao, Shutong Chen, Xin Wang, Yang Chen:
Modeling Access Environment and Behavior Sequence for Financial Identity Theft Detection in E-Commerce Services. 1-8 - Benedikt Bagus, Alexander Gepperth:
A Study of Continual Learning Methods for Q-Learning. 1-9 - Chuan Fang:
DependencyMerge Guided Latent Tree Structure for Aspect-Based Sentiment Analysis. 1-8 - Adriano Alves de Lima, Márcie Venâncio Batista, Jean Paul Barddal, Danilo Sipoli Sanches, Luiz Eduardo Soares de Oliveira:
Assessing Batch and Online Learning for Delivery in Full and On Time Predictions. 1-9 - Suhe Wang, Bo Liu:
Joint Few-Shot Text Classification Aided by Label Semantic and Sentence-Aware Interaction. 1-8 - Xiaopeng Li, Shuqin Li:
Using CNN to improve the performance of the Light-weight ViT. 1-8 - Jianrong Xu, Boyu Diao, Bifeng Cui, Kang Yang, Chao Li, Hailong Hong:
Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration. 1-8 - Kruttidipta Samal, Hemant Kumawat, Marilyn Wolf, Saibal Mukhopadhyay:
A Methodology for Understanding the Origins of False Negatives in DNN Based Object Detectors. 1-8 - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early and Revocable Time Series Classification. 1-8 - Junkai Huang, Xianliang Jiang, Guang Jin:
Detection of River Floating Debris in UAV Images Based on Improved YOLOv5. 1-8 - Mehdi Cherti, Jenia Jitsev:
Effect of pre-training scale on intra- and inter-domain, full and few-shot transfer learning for natural and X-Ray chest images. 1-9 - Bruno Almeida Pimentel, Jadson Crislan Santos Costa:
A hybrid algorithm for fuzzy clustering based on global and local membership degree. 1-8 - Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin:
Robust Graph Convolutional Clustering With Adaptive Graph Learning. 1-8 - Jian Luo, Jianzong Wang, Ning Cheng, Zhenpeng Zheng, Jing Xiao:
Adaptive Activation Network for Low Resource Multilingual Speech Recognition. 1-7 - Thimal Kempitiya, Daswin De Silva, Sachin Kahawala, Dilantha Haputhanthri, Damminda Alahakoon, Evgeny Osipov:
Parameterization of Vector Symbolic Approach for Sequence Encoding Based Visual Place Recognition. 1-7 - Fei Luo, Hangwei Qian, Di Wang, Xu Guo, Yan Sun, Eng Sing Lee, Hui Hwang Teong, Ray Tian Rui Lai, Chunyan Miao:
Missing Value Imputation for Diabetes Prediction. 1-8 - Jakub Klikowski:
Concept drift detector based on centroid distance analysis. 1-8 - James Seale Smith, Zachary Seymour, Han-Pang Chiu:
Incremental Learning with Differentiable Architecture and Forgetting Search. 1-8 - Adedapo Alabi, Dieter Vanderelst, Ali A. Minai:
Context-Dependent Spatial Representations in the Hippocampus using Place Cell Dendritic Computation. 1-8 - Zhi-Yuan Yang, Yi Ji, Ying Li, Chunping Liu:
Selective and Representative Sequence Feature Alignment for Domain Adaptive Detection Transformer. 1-8 - Bisheng Tang, Xiaojun Chen, Dakui Wang, Zhendong Zhao:
KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks. 1-8 - Chanchal Suman, Abhishek Singh, Sriparna Saha, Pushpak Bhattacharyya:
Development of Multi-task Models for Emotion-Aware Gender Prediction. 1-8 - Shijun Wang, Damian Borth:
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. 1-8 - Cristiano Cervellera, Danilo Macciò, Francesco Rebora:
Echo state network ensembles for surrogate models with an application to urban mobility. 1-8 - Yifei Chen, Junge Zhang, Qiaozhe Li, Hao Chen, Kaiqi Huang:
FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm. 1-8 - Mu Hua, Qinbing Fu, Jigen Peng, Shigang Yue, Hao Luan:
Shaping the Ultra-Selectivity of a Looming Detection Neural Network from Non-linear Correlation of Radial Motion. 1-8 - Cristiana Fernandes, Luís Miguel Matos, Duarte Folgado, Maria Lua Nunes, João Rui Pereira, André Luiz Pilastri, Paulo Cortez:
A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors. 1-8 - Mingjie Xu, Yonghong Song, Kangkang Xie, Pengcheng Guo, Jiaxi Mu, Wen Liu, Zhengyang Wang:
Adaptive Sparse Self-attention for Object Detection. 1-8 - Yunlong Xue, Wenming Zheng, Yuan Zong, Hongli Chang, Xingxun Jiang:
Adaptive Hierarchical Graph Convolutional Network for EEG Emotion Recognition. 1-8 - Jaspreet Singh, Chandan Singh:
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments. 1-8 - Irene Amerini, Mauro Conti, Pietro Giacomazzi, Luca Pajola:
PRaNA: PRNU-based Technique to Tell Real and Deepfake Videos Apart. 1-7 - Xianliang Si, Peipei Li, Xuegang Hu, Yuhong Zhang:
An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. 1-8 - Yonghui Wang, Yang Li, Ke Tu:
Light-Weight Branch-Shared Multi-View Convolutional Neural Networks Crowd Counting. 1-7 - Shiyu Liu, Guitao Cao, Yong Liu, Yan Li, Chunwei Wu, Xidong Xi:
Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning. 1-8 - Shuqing Shi, Xiaobin Wang, Dong Hao, Zhiyou Yang, Hong Qu:
Solving Poker Games Efficiently: Adaptive Memory based Deep Counterfactual Regret Minimization. 1-11 - Lin Meng, Haoran Yang, Jiawei Zhang:
Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles. 1-8 - Shaolun Yao, Zunlei Feng, Jie Song, Lingxiang Jia, Zipeng Zhong, Mingli Song:
Chemical Property Relation Guided Few-Shot Molecular Property Prediction. 1-8 - Prashan Wanigasekara, Kechen Qin, Emre Barut, Yang Fan, Weitong Ruan, Chengwei Su:
Semantic VL-BERT: Visual Grounding via Attribute Learning. 1-8 - Xinyu Jiang, Qi Zhang, Chongyang Shi:
Hierarchical Neural Network with Bidirectional Selection Mechanism for Sentiment Analysis. 1-8 - Lincoln Vinicius Schreiber, Lucas Nunes Alegre, Ana L. C. Bazzan, Gabriel de Oliveira Ramos:
On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control. 1-8 - Paolo Arena, Maria Francesca Pia Cusimano, Luca Patanè, Poramate Manoonpong:
Ground Reaction Force Estimation in a Quadruped Robot via Liquid State Networks. 1-8 - Jingyu Niu, Yu Hu, Wei Li, Guangyan Huang, Yinhe Han, Xiaowei Li:
Closing the Dynamics Gap via Adversarial and Reinforcement Learning for High-Speed Racing. 1-10 - Shigeo Abe:
Soft Upper-bound Support Vector Machines. 1-8 - Sajib Biswas, Timothy Barao, John Lazzari, Jeret McCoy, Xiuwen Liu, Alexander Kostandarithes:
Geometric Analysis and Metric Learning of Instruction Embeddings. 1-8 - Zhiwei Zhou, Heran Xi, Jinghua Zhu:
SILK-BPR: Identify Implicit Friends with Self-guided Walking for Social Recommendation. 1-7 - Talles Brito Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification. 1-9 - Rishabh Choudhary, Omar Alsayed, Simona Doboli, Ali A. Minai:
Building Semantic Cognitive Maps with Text Embedding and Clustering. 1-8 - Mali Halac, Murat Isik, Hasan Ayaz, Anup Das:
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity. 1-7 - Lingyu Yang, Hongjia Li, Lei Li, Chun Yuan, Shu-Tao Xia:
ACEs: Unsupervised Multi-label Aspect Detection with Aspect-category Experts. 1-8 - Michiel Straat, Kevin Koster, Nick Goet, Kerstin Bunte:
An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data. 1-8 - Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen:
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks. 1-8 - Luxi Xing, Yue Hu, Yuqiang Xie, Wei Peng, Yajing Sun, Chen Zhang:
Calibration of the Multiple Choice Machine Reading Comprehension. 1-8 - Xi Fu, Liming Zhao, Cuntai Guan:
MATN: Multi-model Attention Network for Gait Prediction from EEG. 1-8 - Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. 1-10 - Amira Guesmi, Khaled N. Khasawneh, Nael B. Abu-Ghazaleh, Ihsen Alouani:
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints. 1-10 - Shun Li, Zefan Zhang, Yi Ji, Ying Li, Chunping Liu:
Spatio-Temporal Graph-based Semantic Compositional Network for Video Captioning. 1-8 - Di Zhao, Yun Sing Koh, Philippe Fournier-Viger:
Measuring Drift Severity by Tree Structure Classifiers. 1-8 - Hui Li, Yinglin Zheng, Zhaodong Tan, Wenjin Deng:
Improving Person Re-identification with Semantically Aligned Appearance Transformer. 1-8 - Andrea Ceschini, Antonello Rosato, Massimo Panella:
Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction. 1-8 - Katarzyna Filus, Joanna Domanska:
NAM: What Does a Neural Network See? 1-8 - Donglin Wu, Jing Zhao, Ming Li, Ming Shi:
A Knowledge Representation Method for Multiple Pattern Embeddings Based on Entity-Relation Mapping Matrix. 1-8 - Kang Cheng, Gewangzi Du, Tongshuai Wu, Liwei Chen, Gang Shi:
Automated Vulnerable Codes Mutation through Deep Learning for Variability Detection. 1-8 - Juyang Weng:
20 Million-Dollar Problems for Any Brain Models and a Holistic Solution: Conscious Learning. 1-9 - Onatkut Dagtekin, Nina Dethlefs:
Imputation of Partially Observed Water Quality Data Using Self-Attention LSTM. 1-8 - Liguo Zhou, Guang Chen, Alois C. Knoll:
Fast and Accurate Face Detection using Feature Pyramid with Grid Anchors. 1-8 - Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Augmentation-induced Consistency Regularization for Classification. 1-7 - Jarryd Son, Amit Kumar Mishra:
ExGate: Externally Controlled Gating for Feature-based Attention in Artificial Neural Networks. 1-7 - Weiqing Zhou, Siyu Zhan, Bo Dai, Lei Guo:
SOAR: A Learned Join Order Selector with Graph Attention Mechanism. 1-8 - Oleg Gorokhov, Ramazan Fazylov, Maria Kazachuk, Ivan Lazukhin, Igor V. Mashechkin, Liudmila L. Pankratyeva, Ivan Popov:
Bacterial colony detection method for microbiological photographic images. 1-8 - Congrui Zou, Yunfei Yin, Faliang Huang:
Attention-based Emotion-assisted Sentiment Forecasting in Dialogue. 1-8 - Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling:
A Graph-based U-Net Model for Predicting Traffic in unseen Cities. 1-8 - Udit Arora, Nidhi Goyal, Anmol Goel, Niharika Sachdeva, Ponnurangam Kumaraguru:
Ask It Right! Identifying Low-Quality questions on Community Question Answering Services. 1-8 - Chengdong Shi, Xiao-Jun Zeng:
Machine Learning-Based Approach to Nonlinear Functional Data Analysis for Photovoltaic Power Forecasting. 1-8 - Utkarsh Singhal, Stella X. Yu:
Complex-valued Butterfly Transform for Efficient Hyperspectral Image Processing. 1-8 - Hongzhang Mu, Tingwen Liu, Hongbo Xu:
Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization. 1-7 - Alexander Rehmer, Andreas Kroll:
The effect of the forget gate on bifurcation boundaries and dynamics in Recurrent Neural Networks and its implications for gradient-based optimization. 1-8 - Megan Boucher-Routhier, Artem Pilzak, Annie Theberge Charbonneau, Jean-Philippe Thivierge:
Learning to Stabilize Extreme Neural Machines with Metaplasticity. 1-5 - Itsuki Kubota, Kentaro Takeda, Hiroyuki Torikai:
A novel ergodic cellular automaton cochlear model: reproduction of nonlinear sound processing functions of mammalian cochlea and efficient hardware implementation. 1-8 - Hongyang Zhou, Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He:
Unexp-DIN: Unexpected Deep Interest Network for Recommendation. 1-8 - Dmitri A. Rachkovskij, Denis Kleyko:
Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences. 1-8 - Matheus K. Venturelli, Pedro H. Gomes, Jonatas Wehrmann:
Looks Like Magic: Transfer Learning in GANs to Generate New Card Illustrations. 1-8 - Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. 1-10 - Fan Yu, Wei Xi, Zhao Yang, Ziye Tong, Jingtong Sun:
LRTD: A Low-rank Transformer with Dynamic Depth and Width for Speech Recognition. 1-8 - Giovanni Di Gennaro, Armando Ospedale, Antonio Di Girolamo, Amedeo Buonanno, Francesco A. N. Palmieri, Gianfranco Fedele:
Split-word Architecture in Recurrent Neural Networks POS-Tagging. 1-7 - Si-Si Zhang, Jian-Wei Liu:
An Online Recurring Concept Meta-learning For Evolving Streams. 1-7 - Vitor P. Ribeiro, Ângela S. M. Cunha, Sérgio N. Duarte, Carlos R. Padovani, Patricia A. A. Marques, Carlos Dias Maciel, José Antonio P. Balestieri:
Bayesian Network for Hydrological Model: an inference approach. 1-7 - Yinzhe Li, Dan He, Zhijie Ban:
Learning node embedding for inductive link prediction in sparse observation network. 1-7 - Yiming Pan, Yunfei Yin, Faliang Huang:
Keyword-guided Topic-oriented Conversational Recommender System. 1-8 - Satyadwyoom Kumar, Apurva Narayan:
Towards Robust Certified Defense via Improved Randomized Smoothing. 1-8 - Zefang Zhao, Yuyang Liu, Junruo Gao, Haibo Wu, Zhaojuan Yue, Jun Li:
Multi-grained Syntactic Dependency-aware Graph Convolution for Aspect-based Sentiment Analysis. 1-8 - Giuseppe Granato, Alessio Martino, Antonello Rizzi:
A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks. 1-9 - Achyut Mani Tripathi, Aakansha Mishra:
Revamped Knowledge Distillation for Sound Classification. 1-8 - Haotian Wu, Qi Wang:
GEAE: Gated Enhanced Autoencoder based Feature Extraction and Clustering for Customer Segmentation. 1-8 - Ruihai Ge, Yongzheng Zhang, Shuhao Li, Guoqiao Zhou:
A Dual-Branch Self-attention Method for Mobile Malware Detection via Network Traffic. 1-8 - Haowei Wang, Yicheng Pan, Meng Ma, Ping Wang:
When Dynamic Causality Comes to Graph-Temporal Neural Network. 1-9 - Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos:
Lane Marking Detection and Classification using Spatial-Temporal Feature Pooling. 1-7 - Alvaro Ayuso-Martinez, Daniel Casanueva-Morato, Juan Pedro Dominguez-Morales, Angel Jiménez-Fernandez, Gabriel Jiménez-Moreno:
Spike-based building blocks for performing logic operations using Spiking Neural Networks on SpiNNaker. 1-9 - Zepu Xi:
Distributions-free Martingale test Distributions-shift for Swarm Behavior Prediction. 1-8 - Yu Zhen, Ruimin Hu, Dengshi Li, Yilin Xiao:
User Alignment Across Social Networks Based On ego-Network Embedding. 1-7 - Zihao Zhou, Le Zhang, Rui Zha, Qiming Hao, Tong Xu, Di Wu, Enhong Chen:
Multi-Relational Graph Convolution Network for Stock Movement Prediction. 1-8 - Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao:
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. 1-8 - Pavel Pascacio, Joaquín Torres-Sospedra, Sven Casteleyn, Elena Simona Lohan:
A Collaborative Approach Using Neural Networks for BLE-RSS Lateration-Based Indoor Positioning. 1-9 - Pengyue Hou, Ming Zhou, Jie Han, Petr Musílek, Xingyu Li:
Adversarial Fine-tune with Dynamically Regulated Adversary. 1-8 - Adrien Fois, Horacio Rostro-González, Bernard Girau:
Unsupervised learning of visual representations using delay-weight spike-timing-dependent plasticity. 1-7 - Zhaowei Wang:
Legal Element-oriented Modeling with Multi-view Contrastive Learning for Legal Case Retrieval. 1-10 - Zhikai Chen, Peng Wu, Li Pan:
Leveraging Diversity-Aware Context Attention Networks for Fake News Detection on Social Platforms. 1-8 - Krzysztof Patan, Maciej Patan:
Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling. 1-8 - Tengfei Zhao, Zhaocheng Ge, Hanping Hu, Dingmeng Shi:
MESDeceiver: Efficiently Generating Natural Language Adversarial Examples. 1-8 - Hongzhan Lin, Liangliang Chen, Jing Ma, Zhiwei Yang, Guang Chen:
AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering. 1-8 - Guillaume Durand, Julio J. Valdés, Michael Coffin, Md Monwer Hussain, Luke Poirier:
Computational Intelligence Approach for the Analysis of Estuary Hypoxia Phenomena. 1-8 - Gang Yang, Hongzhe Xu:
Named Entity Recognition via Interlayer Attention Residual LSTM. 1-8 - Wanxin Li, Wei Xie, Zhigang Tu, Wei Wang, Lianghao Jin:
Multi-Hyperedge Hypergraph for Group Activity Recognition. 1-7 - Longyin Guo, Qijun Zhao, Hongmei Gao:
Look longer to see better: Audio-visual event localization by exploiting long-term correlation. 1-7 - Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Chendong Zhao, Wei Tao, Jing Xiao:
QSpeech: Low-Qubit Quantum Speech Application Toolkit. 1-8 - Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger:
Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking. 1-8 - Haoran Wu, Linghui Meng, Shuang Xu, Bo Xu:
Joint Modeling of Document and Label with Clause Interaction Hypergraph for ICD Medical Code Assignment. 1-8 - Xiaolin Xu, Wenming Zheng, Yuan Zong, Cheng Lu, Xingxun Jiang:
Sample Self-Revised Network for Cross-Dataset Facial Expression Recognition. 1-8 - Samuel A. Freitas, Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos:
DeepCADD: A Deep Learning Architecture for Automatic Detection of Coronary Artery Disease. 1-8 - Sibo Yang, Ruobin Gao, Lei Li, Wei Tech Ang:
Deep Randomized Feed-forward Networks Based Prediction of Human Joint Angles Using Wearable Inertial Measurement Unit: Performance Comparison. 1-8 - Yuxiang Sun, Qi Zhang:
Ensemble Policy Distillation with Reduced Data Distribution Mismatch. 1-8 - Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan:
Spiking Approximations of the MaxPooling Operation in Deep SNNs. 1-8 - Qiaohong Hao, Mateu Sbert, Qinghe Feng, Jiawan Zhang:
Entropy Based Analysis of Gaze Fixation Duration. 1-9 - Yanxia Guan, Yuntao Liu, Yuan Li, Xinhai Xu:
HierRL: Hierarchical Reinforcement Learning for Task Scheduling in Distributed Systems. 1-8 - Anastasiia D. Sokolova, Andrey V. Savchenko:
Open-Set Face Identification with Sequential Analysis and Out-of-Distribution Data Detection*. 1-8 - Haotian Chen, Ryo Natsuaki, Akira Hirose:
Predicting polarization state based on quaternion neural networks to facilitate channel prediction. 1-6 - Jan Kalina, Jirí Tumpach, Martin Holena:
On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data. 1-8 - Reemt Hinrichs, Kai Liang, Ze Lu, Jörn Ostermann:
Improved Compression of Artificial Neural Networks through Curvature-Aware Training. 1-8 - Xun Zhou, Zhiyang Zhou, Xiaodong Shi:
FCH-TTS: Fast, Controllable and High-quality Non-Autoregressive Text-to-Speech Synthesis. 1-8 - Weidong Liu, Haijie Zhang:
Innovation Hierarchy Based Patent Representation Model. 1-8 - Xiang Li, Zhong Qian, Peifeng Li, Xiaoxu Zhu:
Hierarchical Information Fusion Graph Neural Networks for Chinese Implicit Rhetorical Questions Recognition. 1-8 - Wenzhe Liu, Luyao Liu, Lin Feng, Huiyuan Deng:
Tensorized Multi-view Clustering via Hyper-graph Regularization. 1-8 - Yusheng Tao, Jian Zhang, Tianquan Chen, Yuqing Wang, Yuesheng Zhu:
Transformer-based Contrastive Learning for Unsupervised Person Re-Identification. 1-9 - Claudio Gallicchio:
Minimal Euler State Networks. 1-7 - Vincenzo Stefano D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita, Zinat Zarandi, Luciano Fadiga, Alessandro D'Ausilio, Thierry Pozzo:
The Importance of Multiple Temporal Scales in Motion Recognition: from Shallow to Deep Multi Scale Models. 1-9 - Xuqi Yang, Xinyu Xiao, Wei Zhou, Junhao Wen:
Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions. 1-8 - Youhui Zuo, Xueping Peng, Wenpeng Lu, Shoujin Wang, Zhao Li, Weiyu Zhang, Yi Zhai:
Chinese Sentence Matching with Multiple Alignments and Feature Augmentation. 1-8 - Razvan Brinzea, Bulat Khaertdinov, Stylianos Asteriadis:
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition. 1-8 - Carlos A. Alves Júnior, Luis Filipe Alves Pereira, George D. C. Cavalcanti, Tsang Ing Ren:
Ensemble of Convolutional Neural Networks for Sparse-View Cone-Beam Computed Tomography. 1-7 - Yue Yin, Weikang Jin, Jing Bai, Ruotong Liu, Haowei Zhen:
SMIL-DeiT: Multiple Instance Learning and Self-supervised Vision Transformer network for Early Alzheimer's disease classification. 1-6 - Lucas Candeia Teixeira, Júlio César Gomes De Barros, Bruno José Torres Fernandes, Carlo Marcelo Revoredo da Silva:
CatchPhish: Model for detecting homographic attacks on phishing pages. 1-8 - Cinthia Mikaela de Souza, Magali R. G. Meireles, Renato Vimieiro:
A multi-view extractive text summarization approach for long scientific articles. 1-8 - Aidan Quinn, Melanie Simmons, Benjamin Spivak, Christoph Bergmeir:
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression. 1-8 - Binyan Hu, Yu Sun, A. Kai Qin:
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks. 1-8 - Mohit Vohra, Laxmidhar Behera:
Robot learning by Single Shot Imitation for Manipulation Tasks. 1-7 - Kun Long, Biao Jiang, Yubin Yang:
Unsupervised Unpaired Super-Resolution Using an Active Sampling Strategy Based on Edge Detection. 1-8 - Philip Ciunkiewicz, Svetlana N. Yanushkevich, Michael Roumeliotis, Kailyn Stenhouse, Philip McGeachy, Sarah Quirk, Petra Grendarova:
Improved Design of Bayesian Networks for Modelling Toxicity Risk in Breast Radiotherapy using Dynamic Discretization. 1-8 - Kyle Webster, John Sheppard:
Robust Spectral Based Compression of Hyperspectral Images using LSTM Autoencoders. 1-8 - Gabriella Pizzuto, Jacopo de Berardinis, Louis Longley, Hatem Fakhruldeen, Andrew I. Cooper:
SOLIS: Autonomous Solubility Screening using Deep Neural Networks. 1-7 - Manh Hung Nguyen, Lisheng Sun-Hosoya, Nathan Grinsztajn, Isabelle Guyon:
Meta-learning from Learning Curves: Challenge Design and Baseline Results. 1-8 - Anshul Rustogi, Snehasis Mukherjee:
Long-term Spatio-temporal Contrastive Learning framework for Skeleton Action Recognition. 1-8 - Marco Bindi, Carlos Iturrino Garcia, Antonio Luchetta, Francesco Grasso, Maria Cristina Piccirilli, Libero Paolucci, Igor N. Aizenberg:
Classification of Power Quality disturbances using Multi-Valued Neural Networks and Convolutional Neural Networks. 1-8 - Yongxin Zhang, Jiahai Wang, Zizhen Zhang:
Edge-based Formulation with Graph Attention Network for Practical Vehicle Routing Problem with Time Windows. 1-8 - Min Wang, Libing Wu, Jianxin Li, Dan Wu, Chao Ma:
Urban Traffic Signal Control with Reinforcement Learning from Demonstration Data. 1-8 - Yong Liu, Chunwei Wu, Xidong Xi, Yan Li, Guitao Cao, Wenming Cao, Hong Wang:
Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning. 1-8 - Hao Luan, Mu Hua, Jigen Peng, Shigang Yue, Shengyong Chen, Qinbing Fu:
Accelerating Motion Perception Model Mimics the Visual Neuronal Ensemble of Crab. 1-8 - Hongfei Wang, AiMin Feng, Xuejun Liu:
Information Aggregation Semantic Adversarial Network for Cross-Modal Retrieval. 1-8 - Huy-The Vu, Minh-Tien Nguyen, Van-Chien Nguyen, Manh Tran-Tien, Van-Hau Nguyen:
Label Correlation Based Graph Convolutional Network for Multi-label Text Classification. 1-8 - Xuefeng Zhang, Yushui Geng, Jing Zhao, Wenfeng Jiang:
Bearing Fault Diagnosis Based on Improved DBN Combining Attention Mechanism. 1-8 - Hao Jia, Shuqin Gu, Yuqi Zhang, Xiangyu Duan:
Bilingual Terminology Extraction from Comparable E-Commerce Corpora. 1-8 - Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. 1-10 - Beibei Ruan, Cui Zhu, Wenjun Zhu:
A Link Prediction Model of Dynamic Heterogeneous Network Based on Transformer. 1-7 - Manav Prabhakar, Snehasis Mukherjee:
First-person Activity Recognition by Modelling Subject - Action Relevance. 1-8 - Pablo Martinez-Gonzalez, David Mulero-Perez, Sergiu Oprea, Manuel Benavent-Lledó, Sergio Orts-Escolano, José García Rodríguez:
Synthetic contact maps to predict grasp regions on objects. 1-6 - Raphael Norman-Tenazas, Brian S. Robinson, Justin Joyce, Isaac Western, Erik C. Johnson, William R. Gray Roncal, Joan A. Hoffmann:
Continuous State Estimation With Synapse-constrained Connectivity. 1-9 - Fengying Li, Mingdong Chen, Rongsheng Dong:
Multi-hop Question Answering with Knowledge Graph Embedding in a Similar Semantic Space. 1-7 - Hao-Zhou Hao, Yao Cheng, Yi Ji, Ying Li, Chunping Liu:
Multi-enhanced Adaptive Attention Network for RGB- T Salient Object Detection. 1-8 - Dengshi Li, Lu Zeng, Ruimin Hu, Xiaocong Liang, Yilong Zang:
ITC: Influential-Truss Community Search. 1-8 - Gonzalo A. Ruz, Eric Goles:
Characterizing consensus in threshold Boolean networks. 1-8 - Jing Li, Sheng Xu, Peifeng Li:
Document-Level Event Temporal Relation Extraction on Global and Local Cues. 1-8 - Yuan Sui, Fanyang Bu, Yingting Hu, Liang Zhang, Wei Yan:
Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition. 1-8 - Piotr Kozakowski, Mikolaj Pacek, Piotr Milos:
Planning and Learning using Adaptive Entropy Tree Search. 1-8 - Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu:
Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction. 1-8 - Guiliang Ou, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang:
Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier. 1-8 - Hao Liu, Hezhe Qiao, Xiaoyu Shi, Mingsheng Shang:
Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation. 1-8 - Emmanuel Daucé:
Concurrent Credit Assignment for Data-efficient Reinforcement Learning. 1-8 - Chaoyue Ding, Shiliang Sun, Jing Zhao:
Multi-Modal Adversarial Example Detection with Transformer. 1-7 - Jacek Komorowski, Grzegorz Kurzejamski:
Graph-Based Multi-Camera Soccer Player Tracker. 1-8 - Siqi Zheng, Jie Zhou, Kui Meng, Gongshen Liu:
Label-Dividing Gated Graph Neural Network for Hierarchical Text Classification. 1-8 - Yukang Yang, Hao Xu, Lu Lu:
ASD-ISSPA: Adaptive Stochastic Droppath and Interactive Slow Semi-Polarized Attention based on FPN for Object Detection. 1-8 - Devarth Parikh, Yawen Lu, Nikola K. Kasabov, Guoyu Lu:
Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. 1-8 - Michele Lo Giudice, Nadia Mammone, Cosimo Ieracitano, Maurizio Campolo, Arcangelo Ranieri Bruna, Valeria Tomaselli, Francesco Carlo Morabito:
Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications. 1-8 - Kodai Kaneko, Naoyuki Kubota:
Multi-Scopic Simulation for People Flow Feature Extraction Based on Topological Mapping. 1-6 - Birgit Hillebrecht, Benjamin Unger:
Certified machine learning: A posteriori error estimation for physics-informed neural networks. 1-8 - Zohreh Ansari, Farzin Pourhoseini, Fatemeh Hadaeghi:
Heterogeneous Reservoir Computing Models for Persian Speech Recognition. 1-7 - Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi:
Digital Filters Design for Personal Sound Zones: a Neural Approach. 1-8 - Guanqun Hou, Fan Deng, Xinjia Chen, Haixian Lu, Jun Che, Shiliang Pu:
Robust Two-stage Graph Convolutional Network for Face Clustering. 1-8 - Anthony D. Rhodes, Ke Ding, Manan Goel, Narayan Sundararajan:
Encoder-Decoder Interactive Image Segmentation with Inception-Atrous-Collation Blocks. 1-9 - Xinghai Zheng, Qimin Ban, Wen Wu, Jiayi Chen, Jun Xiao, Lamei Wang, Wei Zheng, Liang He:
Learner Profile based Knowledge Tracing. 1-8 - Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin:
Teacher-free Distillation via Regularizing Intermediate Representation. 1-6 - Alexander Rose, Martin Grotjahn:
LSTM based Time-series Prediction for Optimal Scheduling in the Foundry Industry. 1-8 - Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia:
Nonparametric neural topic modeling for customer insight extraction about the tire industry. 1-9 - Amirreza Yousefzadeh, Manolis Sifalakis:
Delta Activation Layer exploits temporal sparsity for efficient embedded video processing. 1-10 - Shengtao Sun, Jibing Gong, Yangyang Li, Lizhe Wang, Kaisheng Wang:
A research of target tracking algorithm based on deep learning and kernel correlation filter. 1-8 - Chong Wu, Zhenan Feng, Houwang Zhang, Hong Yan:
Graph Neural Network and Superpixel Based Brain Tissue Segmentation. 1-8 - Jiacheng Chen, Wanliang Wang, Fangsen Xing, Yutong Qian:
Residual Adaptive Dense Weight Attention Network for Single Image Super-Resolution. 1-10 - Run Yang, Yan Li, Hui He, Weizhe Zhang:
DNN Real-Time Collaborative Inference Acceleration with Mobile Edge Computing. 1-8 - Yuanliang Li, Jun Yan, Mohamed Naili:
Deep Reinforcement Learning for Penetration Testing of Cyber-Physical Attacks in the Smart Grid. 1-9 - Jian Xu, Yi Yan, Shao-Lun Huang:
FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data. 1-8 - Haoyu Xu, Feihu Huang, Jian Peng, Wenzheng Xu:
Intent-Aware Graph Neural Networks for Session-based Recommendation. 1-8 - Rongsheng Zhang, Cai Yang, Xinxin Peng:
Dynamic Graph Attention Network For Traveling Officer Problem. 1-7 - Thu Nguyen, Quang M. Le, Son N. T. Tu, Binh T. Nguyen:
Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification. 1-8 - Ahmed Sharshar, Ahmed Fayez, Ahmed Abo Eitta, Walid Gomaa:
MM-DOS: A Novel Dataset Of Workout Activities. 1-8 - Mauricio Romero, Pablo A. Estévez:
Outlier Detection based on Transformations for Astronomical Time Series. 1-8 - Tri Minh Nguyen, Azhar Mohammed, Bao Duong, Thin Nguyen:
Causality-aided Recommendation Systems. 1-8 - Tulika Saha, Sophia Ananiadou:
Emotion-aware and Intent-controlled Empathetic Response Generation using Hierarchical Transformer Network. 1-8 - Ruoyi Zhang, Huifang Ma, Qingfeng Li, Zhixin Li, Yike Wang:
A Knowledge Graph Recommendation Model via High-order Feature Interaction and Intent Decomposition. 1-7 - Jiyong Zhang, Tao Deng, Fei Yan:
TARConvGRU: A Cross-dimension Spatiotemporal Model for Lane Detection. 1-7 - Xuan Zhu, Wangshu Yao, Kang Song:
Online Knowledge Distillation with Multi-Architecture Peers. 1-8 - Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS. 1-7 - Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Dual Cost-sensitive Graph Convolutional Network. 1-8 - Kazuhi Honjo, Xiaokang Zhou, Shohei Shimizu:
CNN-GRU Based Deep Learning Model for Demand Forecast in Retail Industry. 1-8 - Sahar Soltanieh, Ali Etemad, Javad Hashemi:
Analysis of Augmentations for Contrastive ECG Representation Learning. 1-10 - Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola:
Classifying Hierarchical Data Streams using Global Classifiers and Summarization Techniques. 1-8 - Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao:
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. 1-7 - Xiaomu Li, Quan Liu:
Master-Slave Policy Collaboration for Actor-Critic Methods. 1-7 - Chendong Zhao, Jianzong Wang, Leilai Li, Xiaoyang Qu, Jing Xiao:
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection. 1-7 - Azusa Sawada, Taiki Miyagawa, Akinori F. Ebihara, Shoji Yachida, Toshinori Hosoi:
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series. 1-8 - Daniel Casanueva-Morato, Alvaro Ayuso-Martinez, Juan Pedro Dominguez-Morales, Angel Jiménez-Fernandez, Gabriel Jiménez-Moreno:
Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker. 1-9 - Lokesh Veeramacheneni, Moritz Wolter, Reinhard Klein, Jochen Garcke:
Canonical convolutional neural networks. 1-8 - Yiting Cao, Chao Lan:
Fairness-Aware Active Learning for Decoupled Model. 1-9 - Martín Naya-Varela, Andrés Faiña, Richard J. Duro:
Harnessing Growth-Based Morphological Development to Facilitate Learning ANN-Controlled Bipedal Walking. 1-8 - Jonatas Wehrmann, Otávio Parraga, Rodrigo C. Barros:
COBE: A Natural Language Code Search Robustness Benchmark. 1-8 - Davide Armellini, Marco Ometto, Cristiano Ponton:
Q-SYM2 and Automatic Scrap Classification a joint solution for the Circular economy and sustainability of Steel Manufacturing, to ensure the scrap yard operates competitively. 1-6 - Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique:
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. 1-9 - Wenxuan Fang, Kai Zhang, Yoli Shavit, Wensen Feng:
Adversarial Learning of Hard Positives for Place Recognition. 1-7 - Simon Forest, Jean-Charles Quinton, Mathieu Lefort:
Combining Manifold Learning and Neural Field Dynamics for Multimodal Fusion. 1-8 - Zhixiong Yue, Pengxin Guo, Yu Zhang, Christy Jie Liang:
Learning Feature Alignment Architecture for Domain Adaptation. 1-8 - Shuqin Cao, Libing Wu, Rui Zhang, Jianxin Li, Dan Wu:
Capturing Local and Global Spatial-Temporal Correlations of Spatial-Temporal Graph Data for Traffic Flow Prediction. 1-8 - Xuanang Li, Zhengyou Liang, Yu Sun, Qiang Yao:
Spatial Separable Multi-scale Feature Net: A 3D Reconstruction Method with More Features but Fewer Parameters. 1-8 - Loïc Cordone, Benoît Miramond, Philippe Thiérion:
Object Detection with Spiking Neural Networks on Automotive Event Data. 1-8 - Samuel Cognolato, Alberto Testolin:
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation. 1-8 - Roberta Viola, Guilherme Drummond, Adriano Veloso, Mauricio Zuardi:
A data-centric approach for predicting individual outcomes in a multi-party legislative system. 1-8 - Chudong Shan, Jianhui Zhao, Zekang Qiu, Fuyang Wei, Zhiyong Yuan:
Mobi-Trans: A Hybrid Network with Attention Mechanism for Myocardial Infarction Localization. 1-8 - Peter Sutor Jr., Dehao Yuan, Douglas Summers-Stay, Cornelia Fermüller, Yiannis Aloimonos:
Gluing Neural Networks Symbolically Through Hyperdimensional Computing. 1-10 - Zan Li, Yuexian Hou, Tian Tian, Tingsan Pan:
An Enhanced Quantum-inspired Neural Network for Complex-valued Text Representation Learning. 1-9 - Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao:
Cali3F: Calibrated Fast Fair Federated Recommendation System. 1-8 - Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance. 1-8 - Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier:
Ensemble of Tensor Train Decomposition and Quantization Methods for Deep Learning Model Compression. 1-6 - Lin Li, Weike Pan, Guanliang Chen, Zhong Ming:
DeepSet: Deep Learning-based Recommendation with Setwise Preference. 1-9 - R. S. Jaisurya, Snehasis Mukherjee:
Attention-based Single Image Dehazing Using Improved CycleGAN. 1-8 - Jacob Morra, Mark Daley:
Imposing Connectome-Derived Topology on an Echo State Network. 1-6 - Shibao Li, Yixuan Liu, Zhaoyu Wang, Xuerong Cui, Yunwu Zhang, Zekun Jia, Jinze Zhu:
Pcwin Transformer: Permuted Channel Window based Attention for Image Classification. 1-8 - Rahat Islam, Kenneth Lai, Svetlana N. Yanushkevich:
Hand Gesture Classification on Praxis Dataset: Trading Accuracy for Expense. 1-8 - Yifei Chen, Zhourui Guo, Qiyue Yin, Hao Chen, Kaiqi Huang:
Layer-Wisely Supervised Learning For One-Shot Neural Architecture Search. 1-8 - Piotr Kozakowski, Lukasz Kaiser, Henryk Michalewski, Afroz Mohiuddin, Katarzyna Kanska:
Q-Value Weighted Regression: Reinforcement Learning with Limited Data. 1-8 - Mateusz Lysik, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Tomasz Les, Szczepan Cierniak, Malgorzata Lorent:
HE-to-PAS histological stain conversion by GAN in renal pathology. 1-7 - Reza Davtalab, Rafael M. O. Cruz, Robert Sabourin:
Dynamic Ensemble Selection Using Fuzzy Hyperboxes. 1-9 - Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Towards Powerful Graph Contrastive Learning without Negative Examples. 1-9 - Tao Zhang, Shiliang Sun, Jing Zhao:
Robust Cross-Modal Retrieval by Adversarial Training. 1-8 - Noor Abid, Vlad P. Shmerko, Svetlana N. Yanushkevich:
Audit of Computational Intelligence Techniques for EDI-aware Systems. 1-8 - Chudong Shan, Zhiyong Yuan, Zekang Qiu, Ziyang He, Panfeng An:
A Dual Arrhythmia Classification Algorithm Based on Deep Learning and Attention Mechanism Incorporating Morphological-temporal Information. 1-8 - Haoda Qian, Zaichuan Tang, Yajun Ren, Qiudan Li, Daniel Zeng:
A Transformer-based Approach for Identifying Target-oriented Opinions from Travel Reviews. 1-7 - Francisco Gomez-Donoso, Félix Escalona, Miguel Cazorla:
VFKD: Voxelized Fractal Keypoint Detector. 1-8 - Pedro H. F. De Barros, Jose F. Rodrigues:
AttentionHCare: Advances on computer-aided medical prognosis using attention-based neural networks. 1-8 - Clyde James Felix, Japhet Ye, Anthony Kuh:
Personalized Learning Using Kernel Methods and Random Fourier Features. 1-5 - Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar:
CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. 1-10 - Haocheng Wang, Ruifang He, Huanyu Liu, Chenhao Wu, Bo Wang:
Topic Model on Microblog with Dual-Streams Graph Convolution Networks. 1-8 - Santosh Kumar Yadav, Aditya Deshmukh, Raghurama Varma Gonela, Shreyas Bhat Kera, Kamlesh Tiwari, Hari Mohan Pandey, Ali Akbar Shaikh:
MS-KARD: A Benchmark for Multimodal Karate Action Recognition. 1-8 - Wanlong Liu, Li Zhou, Dingyi Zeng, Hong Qu:
Document-Level Relation Extraction with Structure Enhanced Transformer Encoder. 1-8 - Houwang Zhang, Zhenan Feng, Chong Wu:
A Non-local Graph Neural Network for Identification of Essential Proteins. 1-8 - Ismael Santana Silva, Adriano Veloso:
Automatic Model Evaluation using Feature Importance Patterns on Unlabeled Data. 1-8 - Zekang Qiu, Jianhui Zhao, Chudong Shan, Jianyong Huang, Zhiyong Yuan:
Pixel Rows and Columns Relationship Modeling Network based on Transformer for Retinal Vessel Segmentation. 1-8 - Ahmed Heakl, Abdelrahman Abdelgawad, Victor Parque:
A Study on Broadcast Networks for Music Genre Classification. 1-8 - Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Dejing Dou:
Time-aware Neural Trip Planning Reinforced by Human Mobility. 1-8 - Fabiola Espinoza Castellon, Aurélien Mayoue, Jacques-Henri Sublemontier, Cédric Gouy-Pailler:
Federated learning with incremental clustering for heterogeneous data. 1-8 - Zhixiong Yue, Baijiong Lin, Yu Zhang, Christy Jie Liang:
Effective, Efficient and Robust Neural Architecture Search. 1-8 - Markus Zopf:
1-WL Expressiveness Is (Almost) All You Need. 1-8 - Guanqi Zhu, Hanqing Tao, Han Wu, Liyi Chen, Ye Liu, Qi Liu, Enhong Chen:
Text Classification via Learning Semantic Dependency and Association. 1-8 - Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Singer Identification for Metaverse with Timbral and Middle-Level Perceptual Features. 1-7 - Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi:
Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches. 1-10 - Jingyao Wang, Naigong Yu:
SO-PERM: Pose Estimation and Robust Measurement for Small Objects. 1-7 - Maria Gadelkarim, Mazen Khodier, Walid Gomaa:
Violence Detection and Recognition from Diverse Video Sources. 1-8 - Rodrigo Salles, Jérôme Mendes, Rui Araújo, Carlos Melo, Pedro Moura:
Prediction of Key Variables in Wastewater Treatment Plants Using Machine Learning Models. 1-9 - Nan Li, Meng Ge, Longbiao Wang, Jianwu Dang:
Dual-stream Speech Dereverberation Network Using Long-term and Short-term Cues. 1-5 - Shuo Wang, Jinyuan Qin, Carsten Rudolph, Surya Nepal, Marthie Grobler:
R-Net: Robustness Enhanced Financial Time-Series Prediction with Differential Privacy. 1-9 - Jiemin Ji, Donghai Guan, Yuwen Deng, Weiwei Yuan:
Model-Agnostic Causal Principle for Unbiased KPI Anomaly Detection. 1-8 - Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran:
Variance of the Gradient Also Matters: Privacy Leakage from Gradients. 1-8 - Bin Li:
Hierarchical Architecture for Multi-Agent Reinforcement Learning in Intelligent Game. 1-8 - Anandharaju Durai Raju, Ke Wang:
LockBoost: Detecting Malware Binaries by Locking False Alarms. 1-8 - Yifeng Ding, Yimeng Dai, Hai-Tao Zheng, Rui Zhang:
GiTS: Gist-driven Text Segmentation. 1-8 - Xiaohan Zou, Tong Lin:
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation. 1-8 - Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou:
RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning. 1-9 - Cristian Sestito, Stefania Perri, Robert J. Stewart:
Accuracy Evaluation of Transposed Convolution-Based Quantized Neural Networks. 1-8 - Prem Raj, Aniruddha Singhal, Vipul Sanap, Laxmidhar Behera, Rajesh Sinha:
Domain-Independent Disperse and Pick method for Robotic Grasping. 1-8 - Furkan Ozcelik, Bhavin Choksi, Milad Mozafari, Leila Reddy, Rufin VanRullen:
Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs. 1-8 - Edoardo Occhipinti, Harry J. Davies, Ghena Hammour, Danilo P. Mandic:
Hearables: Artefact removal in Ear-EEG for continuous 24/7 monitoring. 1-6 - Sana Sabah Sabry, Tosin P. Adewumi, Nosheen Abid, György Kovács, Foteini Liwicki, Marcus Liwicki:
HaT5: Hate Language Identification using Text-to-Text Transfer Transformer. 1-7 - Jiawei You, Tianyuan Han, Liping Shen:
From Uniform Models To Generic Representations: Stock Return Prediction With Pre-training. 1-8 - Chenyu Tian, Yuchun Zhang, Zefeng Weng, Xiusen Gu, Wai Kin Chan:
Learning Fine-grained Location Embedding from Human Mobility with Graph Neural Networks. 1-8 - Jia-yi Han, Jian-wei Liu:
Instance-level and Class-level Contrastive Incremental Learning for Image Classification. 1-8 - Daoguang Zan, Sirui Wang, Hongzhi Zhang, Kun Zhou, Wei Wu, Wayne Xin Zhao, Bingchao Wu, Bei Guan, Yongji Wang:
Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. 1-8 - Shiyuan Qiu, Peipei Li, Xuegang Hu:
Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification. 1-8 - Fanglei Sun, Qian Tao, Jun Yan, Jianqiao Hu, Zongyuan Yang:
MRGAN: Multi-Criteria Relational GAN for Lyrics-Conditional Melody Generation. 1-8 - Vivek B. S., Jayavardhana Gubbi, M. A. Rajan, P. Balamuralidhar, Arpan Pal:
EdgeNet for efficient scene graph classification. 1-8 - Syou Hirofumi, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery. 1-8 - Xinyu Liu, Zengmao Wang:
CFDA: Collaborative Filtering with Dual Autoencoder for Recommender System. 1-7 - Xiaomao Zhou, Xiaolong Yu, Cheng Xu:
Fast and Accurate Pose Estimation in Videos based on Knowledge Distillation and Pose Propagation. 1-8 - Yutao Luo, Menghua Lu, Chaoqi Yang, Gongshen Liu, Shilin Wang:
KLAttack: Towards Adversarial Attack and Defense on Neural Dependency Parsing Models. 1-8 - Zeshan Fayyaz, Daniel Platnick, Hannan Fayyaz, Nariman Farsad:
Deep Unfolding for Iterative Stripe Noise Removal. 1-7 - Andrea Toma, Daniele Salvati, Carlo Drioli, Gian Luca Foresti:
Efficient Detection and Localization of Acoustic Sources with a low complexity CNN network and the Diagonal Unloading Beamforming. 1-8 - Xiaohan Zheng, Li Zhang, Zhengqi Zhang:
Sparse Support Vector Machine with Fisher-Regularizer for Data Reduction. 1-7 - Kang Wang, Yiqiang Chen, Yingwei Zhang, Xiaodong Yang, Chunyu Hu:
Multi-Source Integration based Transfer Learning Method for Cross-User sEMG Gesture Recognition. 1-8 - Jiaxi Yang, Xiang Cheng:
Public Data Assisted Differential Private Deep Learning. 1-7 - Rui Wang, Weixuan Xiong, Qing-Hu Hou, Ou Wu:
Tackling the Imbalance for GNNs. 1-8 - Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach. 1-7 - Xiaoyan Yu, Qilei Yin, Zhixin Shi, Yuru Ma:
Improving the Semantic Consistency of Textual Adversarial Attacks via Prompt. 1-8 - Yuxuan Xiong, Bo Du, Yongchao Xu, Jiajun Deng, Yunlang She, Chang Chen:
Pulmonary Nodule Classification with Multi-View Convolutional Vision Transformer. 1-7 - Carlos H. C. Pena, Tsang Ing Ren, Pedro D. Marrero-Fernández, Fidel A. Guerrero-Peña, Alexandre Cunha:
An Ensemble Learning Method for Segmentation Fusion. 1-6 - Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. 1-8 - Shiya Peng, Ying Wang, Dong Yu, Pengyuan Liu:
Perception and Cognition Matters: A new light on sentiment analysis task. 1-7 - Junwei Zhang, Zhao Li, Hao Peng, Ming Li, Xiaofen Wang:
Feedforward Neural Network Reconstructed from High-order Quantum Systems. 1-8 - Eulogio Gutierrez-Huampo, Danilo S. Barbosa, Orlando Chuquimia:
Real-Time Class-Incremental Learning for Voice Command Recognition via Adaptive oiSGNG. 1-8 - Kuilin Chen, Chi-Guhn Lee:
Meta-free few-shot learning via representation learning with weight averaging. 1-8 - Felix Wiewel, Alexander Bartler, Bin Yang:
Dirichlet Prior Networks for Continual Learning. 1-8 - Pengwei Zhan, Yang Wu, Yunjian Zhang, Liming Wang, Chao Zheng, Jing Yang:
Crafting Textual Adversarial Examples through Second-Order Enhanced Word Saliency. 1-8 - Zhengliang Luo, Xiaoxu Zhu, Zhong Qian, Peifeng Li:
Employing Temporal Information and Propagation Structure to Detect Rumors. 1-8 - Xiaoqing Zhao, Zhongyuan Jiang, Jianfeng Ma:
A Survey of Deep Anomaly Detection for System Logs. 1-8 - Wei Wang, Wei Xie, Zhigang Tu, Wanxin Li, Lianghao Jin:
Multi-Part Adaptive Graph Convolutional Network for Skeleton-Based Action Recognition. 1-7 - Sounak Dey, Dighanchal Banerjee, Arun M. George, Arijit Mukherjee, Arpan Pal:
Efficient Time Series Classification using Spiking Reservoir. 1-8 - Anrui Wang, Weiyang Chen:
Multi-scale Local Region Relation Attention in Convolutional Neural Networks for Facial Action Unit Intensity Prediction. 1-7 - Weihao Jiang, Yao Fu, Hong Zhao, Junhong Wan, Shiliang Pu:
Graph Intention Neural Network for Knowledge Graph Reasoning. 1-8 - Takenori Obo, Kazuma Takizawa:
Gesture Learning Based on A Topological Approach for Human-Robot Interaction. 1-6 - Ning Tan, Wenka Zheng, Xinyu Zhang, Fenglei Ni:
Adaptive Neural Networks for Image-Based Visual Servoing with Uncertain Parameters. 1-7 - Emils Ozolins, Karlis Freivalds, Andis Draguns, Eliza Gaile, Ronalds Zakovskis, Sergejs Kozlovics:
Goal-Aware Neural SAT Solver. 1-8 - Qiongzan Ye, Yixin Cao, Yang Chen, Cong Li, Xiang Li:
Deep Learning-Based User Privacy Settings Recommendation in Online Social Networks. 1-9 - Mourad El Hamri, Younès Bennani, Issam Falih:
Incremental Unsupervised Domain Adaptation Through Optimal Transport. 1-8 - Caroline Del Cistia Gallimard, Frederic Beroul, Julien Denoulet, Konstanca Nikolajevic, Andréa Pinna, Bertrand Granado, Christophe Marsala:
Harmonic Decomposition to Estimate Periodic Signals using Machine Learning Algorithms: Application to Helicopter Loads. 1-8 - Bisheng Tang, Xiaojun Chen, Dakui Wang, Zhendong Zhao:
Rethinking the Feature Iteration Process of Graph Convolution Networks. 1-8 - Zhenxing Zhang, Lambert Schomaker:
Optimized latent-code selection for explainable conditional text-to-image GANs. 1-9 - Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri:
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection. 1-8 - André Hallwas Ribeiro Alves, Ricardo Cerri:
A Two-step Model for Drug-Target Interaction Prediction with Predictive Bi-Clustering Trees and XGBoost. 1-8 - Qi Xu, Dongdong Zhou, Jian Wang, Jiangrong Shen, Lauri Kettunen, Fengyu Cong:
Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. 1-6 - Teng Liu, Aimin Li, Xiaohan Liu, Jiachuan Li:
SiamON: Siamese Tracking by Online Update Module and Non-local Pyramid Module. 1-9 - Magzhan Gabidolla, Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán:
Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees. 1-8 - Yi Cui, Wenfeng Shen, Jian Zhang, Weijia Lu, Chuang Liu, Lin Sun, Si Chen:
Using EBGAN for Anomaly Intrusion Detection. 1-7 - Yanling Zhang, Zhen Liu, Ying Ma, Yibo Gao:
Multi-graph Convolutional Feature Transfer for Cross-domain Recommendation. 1-8 - Yulin Cai, Haoqian Wang:
DAPID: A Differential-adaptive PID Optimization Strategy for Neural Network Training. 1-4 - Linghui Meng, Jingqing Ruan, Dengpeng Xing, Bo Xu:
Learning in Bi-level Markov Games. 1-8 - Youshaa Murhij, Dmitry A. Yudin:
FMFNet: Improve the 3D Object Detection and Tracking via Feature Map Flow. 1-8 - Sophie Peacock, Etai Jacob, Nikolay Burlutskiy:
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Omics Data. 1-10 - Chengwei Chen, Yaping Jing, Xuequan Lu, Wang Yuan, Lizhuang Ma:
Spoof Face Detection Via Semi-Supervised Adversarial Training. 1-6 - Kengo Machida, Kuniaki Uto, Koichi Shinoda, Taiji Suzuki:
MSR-DARTS: Minimum Stable Rank of Differentiable Architecture Search. 1-9 - Myles Russell, Dylan Russell, Roberto Corizzo, Nathalie Japkowicz:
Machine Learning for Surgical Risk Assessment Decision Systems. 1-8 - Rafal Grycuk, Tomasz Galkowski, Rafal Scherer, Leszek Rutkowski:
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder. 1-7 - Avijit Das, Zhen Ni, Di Wu:
An Efficient Distributed Reinforcement Learning for Enhanced Multi-Microgrid Management. 1-6 - Maciej Golgowski, Stanislaw Osowski:
Detection of bearing failures using wavelet transformation and machine learning approach. 1-8 - Dan Lu, Rui Chen, Shanshan Sui, Qilong Han, Linglong Kong, Yichen Wang:
MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction. 1-8 - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
An enhanced UNet variant for Effective Lung Cancer Detection. 1-8 - Szymon Czaplak, Adrian Horzyk:
Automatic Optimization of Hyperparameters Using Associative Self-adapting Structures. 1-8 - Yongduo Sui, Tianlong Chen, Pengfei Xia, Shuyao Wang, Bin Li:
Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training. 1-8 - Keeley Crockett Smiee, Sean Brophy, Samuel Attwood, Peter Monks, David Webb:
From Ethical Artificial Intelligence Principles to Practice: A Case Study of University-Industry Collaboration. 1-9 - Daniil E. Kirilenko, Alexey K. Kovalev, Yaroslav K. Solomentsev, Alexander Melekhin, Dmitry A. Yudin, Aleksandr I. Panov:
Vector Symbolic Scene Representation for Semantic Place Recognition. 1-8 - Tomas Sidorowicz, Pedro Peres, Yuhua Li:
A Novel Approach for Cross-Selling Insurance Products Using Positive Unlabelled Learning. 1-8 - Anna Konrad, John McDonald, Rudi C. Villing:
VGQ-CNN: Moving Beyond Fixed Cameras and Top-Grasps for Grasp Quality Prediction. 1-8 - Wenye Lin, Yangning Li, Yifeng Ding, Hai-Tao Zheng:
Tree-structured Auxiliary Online Knowledge Distillation. 1-8 - Jun Yang, Bo Fu, Jinquan Zeng, Shengxi Wu:
YOLO-Xweld: Efficiently Detecting Pipeline Welding Defects in X-Ray Images for Constrained Environments. 1-7 - Katsuhiro Honda, Koki Kitamori, Seiki Ubukata, Akira Notsu:
A Noise Clustering-induced Robust Adaptive Network-based Fuzzy Inference System for Classification. 1-7 - Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang:
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. 1-8 - Pin Liu, Xiaohui Guo, Pengpeng Chen, Bin Shi, Tianyu Wo, Xudong Liu:
Adaptive Shapelets Preservation for Time Series Augmentation. 1-8 - Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos:
Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. 1-9 - Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi:
Multi-Agent Local Information Reconstruction for Situational Cognition. 1-7 - Takuya Kanazawa, Haiyan Wang, Chetan Gupta:
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. 1-10 - Diego Stucchi, Luca Frittoli, Giacomo Boracchi:
Class Distribution Monitoring for Concept Drift Detection. 1-8 - Ishara Bandara, Li Zhang, Kamlesh Mistry:
Deep Learning Based Short-Term Total Cloud Cover Forecasting. 1-8 - Huayu Li, Gregory Ditzler:
Targeted Data Poisoning Attacks Against Continual Learning Neural Networks. 1-8 - Wanyu Xu, Zengmao Wang, Wei Bian:
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation. 1-10 - Yapeng Gao, Jonas Tebbe, Andreas Zell:
A Model-free Approach to Stroke Learning for Robotic Table Tennis. 1-8 - Sourasekhar Banerjee, Xuan-Son Vu, Monowar H. Bhuyan:
Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection. 1-9 - Takashi Nagata, Jinwei Xing, Tsutomu Kumazawa, Emre Neftci:
Uncertainty Aware Model Integration on Reinforcement Learning. 1-7 - Nguyen Hong Son, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen:
Jointly Learning Span Extraction and Sequence Labeling for Information Extraction from Business Documents. 1-8 - Simone Eandi, Andrea Cini, Slobodan Lukovic, Cesare Alippi:
Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting. 1-8 - Lingbin Jin, Li Zhang:
De-redundancy Relative Discrimination Criterion-based Feature Selection for Text Data. 1-8 - Kayson Fakhar, Fatemeh Hadaeghi, Claus C. Hilgetag:
Causal Influences Decouple From Their Underlying Network Structure In Echo State Networks. 1-8 - Andre G. Hochuli, Alceu S. Britto Jr., Paulo R. L. Almeida, Williams B. S. Alves, Fabio M. C. Cagni:
Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems. 1-8 - Xinyue Zheng, Peng Wang, Qigang Wang, Zhongchao Shi, Jianping Fan:
Disentangled Neural Architecture Search. 1-8 - Junghun Kim, Jihie Kim:
CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations. 1-8 - Shaokai Xu, Lihua Zhou, Jianfeng Xu, Lizhen Wang, Hongmei Chen:
MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion. 1-10 - Jinyeong Chae, Jihie Kim:
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base. 1-9 - Ginevra Carbone, Luca Bortolussi, Guido Sanguinetti:
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks. 1-8 - Bishwas Mandal, George T. Amariucai, Shuangqing Wei:
Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type Conscious Transformation. 1-8 - Zhengkai Wang, Weiyu Zhang, Zhongxiu Xia, Wenpeng Lu:
A Model for COVID-19 Prediction Based on Spatio-temporal Convolutional Network. 1-8 - Yuan Li, Huanjie Wang, Jingwei Li, Chengbao Liu, Jie Tan:
ACT: Adversarial Convolutional Transformer for Time Series Forecasting. 1-8 - Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan:
A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. 1-8 - Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
MetaSID: Singer Identification with Domain Adaptation for Metaverse. 1-7 - Yiqun Chen, Wei Yang, Tianle Zhang, Shiguang Wu, Hongxing Chang:
Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems. 1-7 - Minah Lee, Burhan Ahmad Mudassar, Saibal Mukhopadhyay:
Lightweight Model Uncertainty Estimation for Deep Neural Object Detection. 1-8 - Charul Giri, Ole-Christoffer Granmo, Herke van Hoof, Christian D. Blakely:
Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. 1-9 - Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens, Anand Raghunathan:
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models. 1-8 - Jinmei Liu, Zhi Wang, Chunlin Chen:
Fast Probabilistic Policy Reuse via Reward Function Fitting. 1-7 - Tanu Wadhera, Mufti Mahmud:
Computing Hierarchical Complexity of the Brain from Electroencephalogram Signals: A Graph Convolutional Network-based Approach. 1-6 - Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh:
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. 1-10 - Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. 1-8 - Tianjie Ju, Han Liao, Gongshen Liu:
TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity. 1-8 - Henrique Siqueira, Patrick Ruhkamp, Ibrahim Halfaoui, Markus Karmann, Onay Urfalioglu:
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction. 1-8 - Yuyao Shao, Liming Wang:
GPSAttack: A Unified Glyphs, Phonetics and Semantics Multi-Modal Attack against Chinese Text Classification Models. 1-8 - Junya Kato, Gouhei Tanaka, Ryosho Nakane, Akira Hirose:
Proposal of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals. 1-6 - Bo Li, Yuliang Shi, Lin Cheng, Zhongmin Yan, Xinjun Wang, Hui Li:
MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction. 1-8 - Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger:
Anomaly Detection by Recombining Gated Unsupervised Experts. 1-8 - Alex Henderson, Chris Yakopcic, Steven Harbour, Tarek M. Taha:
Memristor Based Circuit Design for Liquid State Machine Verified with Temporal Classification. 1-9 - Guilherme Dean Pelegrina, Renan D. B. Brotto, Leonardo Tomazeli Duarte, Romis Attux, João M. T. Romano:
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization. 1-8 - Fernando Martínez García, Douglas G. Down:
E-LSTM: An extension to the LSTM architecture for incorporating long lag dependencies. 1-8 - Dihia Boulegane, Vitor Cerquiera, Albert Bifet:
Adaptive Model Compression of Ensembles for Evolving Data Streams Forecasting. 1-8 - Yiwen Liao, Bin Yang:
To Generalize or Not to Generalize: Towards Autoencoders in One-Class Classification. 1-8 - Xiaowei Wu, Shengyun Wei, Yan Zhou:
Deep Multi-Scale Representation Learning with Attention for Automatic Modulation Classification. 1-8 - Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel:
Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer. 1-9 - Junki Mori, Isamu Teranishi, Ryo Furukawa:
Continual Horizontal Federated Learning for Heterogeneous Data. 1-8 - Wenqing Ye, Xinyu Li, Haokun Zhang, Zhuolin Zhu, Dongdong Li:
Deep Spatio-Temporal Mutual Learning for EEG Emotion Recognition. 1-8 - Nadir Zenasni, Carol Habib, Jad Nassar:
A Fuzzy Logic based Offloading System for Distributed Deep Learning in Wireless Sensor Networks. 1-8 - Giorgio Ughini, Stefano Samele, Matteo Matteucci:
Trust-No-Pixel: A Remarkably Simple Defense against Adversarial Attacks Based on Massive Inpainting. 1-10 - Sunjun Dong, Zhong Qian, Peifeng Li:
Rumor Detection with Adversarial Training and Supervised Contrastive Learning. 1-8 - Daqing Wu, Xiangyang Guo, Xiao Luo, Ziyue Qiao, Jinwen Ma:
Adaptive Harmony Learning and Optimization for Attributed Graph Clustering. 1-8 - Yaxin Ma, Yonghao Song, Fei Gao:
A novel hybrid CNN-Transformer model for EEG Motor Imagery classification. 1-8 - Longbin Jin, Eunyi Kim:
GViT: Locality enhanced Vision Transformer using Spectral Graph Convolutional Network. 1-6 - Alessandro Falcetta, Manuel Roveri:
Privacy-preserving time series prediction with temporal convolutional neural networks. 1-8 - Jiachuan Li, Aimin Li, Xiaohan Liu, Jing Li, Teng Liu:
Feature Interactive Convolutional Network with Structure-Aware Information for Knowledge Graph Embedding. 1-7 - Yan-Kai Liu, Wei-Bang Jiang, Bao-Liang Lu:
Increasing the Stability of EEG-based Emotion Recognition with a Variant of Neural Processes. 1-6 - Licheng Zhang, Nan Sun, Xihong Wu, Dingsheng Luo:
Advanced Face Anti-Spoofing with Depth Segmentation. 1-6 - Wei Hong Chin, Wen Bang Dou, Naoyuki Kubota, Chu Kiong Loo:
A Robust Growing Memory Network for Lifelong Learning of Intelligent Agents. 1-6 - Jintao Zhang, Xiao Sun, Yuanlin Li:
Mining Syntactic Relationships via Recursion and Wandering on A Dependency Tree for Aspect-Based Sentiment Analysis. 1-8 - Dominik Dold:
Relational representation learning with spike trains. 1-8 - Yang Liu, Xiang Xie:
An Annotator Solves the Cold-Start Problem by Using Emotional Label Replacement and Consistent Selection Mechanism. 1-8 - Weichen Jian, Hongxu Hou, Nier Wu, Shuo Sun, Zongheng Yang, Yisong Wang, Pengcong Wang:
Multimodal Neural Machine Translation for Mongolian to Chinese. 1-8 - Tianyu Yang, Yuxiang Zhang, Tao Jiang:
Boosting KG-to-Text Generation via Multi-granularity Graph Representations. 1-9 - Olivier Del Fabbro, Patrik Christen:
Philosophy-Guided Modelling and Implementation of Adaptation and Control in Complex Systems. 1-8 - Tingjie Wen, Shengjie Zhao, Rongqing Zhang:
Federated Semi-Supervised Learning Through a Combination of Self and Cross Model Ensembling. 1-8 - Patrícia Drapal, Jullya Clemente, Dailys Maite Aliaga Reyes, Starch Melo de Souza, Anthony Lins, Ricardo B. C. Prudêncio:
A Clustering-Based Method to Anomaly Detection in Thermal Power Plants. 1-7 - Hao Ma, Pengfei Yi, Jing Dong, Rui Liu, Dongsheng Zhou, Xiaopeng Wei, Qiang Zhang:
A Novel Movement-supported HRI Framework for Humanoid Robots. 1-6 - Wen Wang, Shunda Hu, Shiqiang Zhu, Zhiyong Huang, Zheyuan Lin, Tianlei Jin:
DMM: Dual-Modal Model for Person Re-Identification. 1-8 - Jan Kalina, Petra Vidnerová, Patrik Janácek:
Sparse Versions of Optimized Centroids. 1-7 - Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Investigation of Performance of Visual Attention Mechanisms for Environmental Sound Classification: A Comparative Study. 1-8 - Hongjun Zhang, Jing Wang, Jiahong Xiong, Yuxuan Ding, Zhenliang Gan, Youfang Lin:
Expert Knowledge Inspired Contrastive Learning for Sleep Staging. 1-6 - Jianfeng Deng, Tao Wang, Lianglun Cheng, Ruiming Lin:
Named entity recognition of specific fields integrating word and improved entity key information attention mechanism. 1-8 - Adrian Kristanto, Shuo Wang, Carsten Rudolph:
Latent Space-Based Backdoor Attacks Against Deep Neural Networks. 1-10 - Junjun Chen, Qiang Guo, Zhongnan Fu, Qun Shang, Hao Ma, Di Wu:
Campus Network Intrusion Detection based on Federated Learning. 1-8 - Hao Hu, Changhong Liu, Yong Chen, Aiwen Jiang, Zhenchun Lei, Mingwen Wang:
Multi-Scale Cascaded Generator for Music-driven Dance Synthesis. 1-7 - Zhengyang Li, Shijing Si, Jianzong Wang, Jing Xiao:
Federated Split BERT for Heterogeneous Text Classification. 1-8 - Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Local overlap reduction procedure for dynamic ensemble selection. 1-9 - Jie Wu, Yanan Sun:
Adaptively Joint Pixel-wise Semantic Correlation in Surface Normal Estimation. 1-8 - Yuxiang Wang, Cangqi Zhou, Jing Zhang, Qianmu Li:
Attributed Graph Clustering with Double Contrastive Projector. 1-8 - Ruifeng Tan, Yuanyuan Zhu:
PMGNN: A Pioneer-Master Graph Neural Network for Graph Classification. 1-8 - Leonardo Crespi, Daniele Loiacono, Pierandrea Sartori:
Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation? 1-8 - Jun Bai, Atul Sajjanhar, Yong Xiang, Xiaojun Tong, Shan Zeng:
FedEWA: Federated Learning with Elastic Weighted Averaging. 1-8 - Daniel Seichter, Söhnke Benedikt Fischedick, Mona Köhler, Horst-Michael Groß:
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments. 1-10 - Qian Tang, Bo Du, Yongchao Xu:
Self-supervised Learning Based on Max-tree Representation for Medical Image Segmentation. 1-6 - Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song:
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. 1-8 - Wei-Zhong Huang, Yang Zhao, Wei-Bin Hong, Hong-Rui He, Fei Chao, Longzhi Yang, Chih-Min Lin, Xiang Chang, Changjiang Shang, Qiang Shen:
A TOPSIS based Self-Organizing Double Loop Recurrent Broad Learning System for Uncertain Nonlinear Systems. 1-10 - Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni:
Linear Upper Confident Bound with Missing Reward: Online Learning with Less Data. 1-6 - Yusen Zhang, Bao Li, Yusong Tan, Songlei Jian:
Evaluation Ranking is More Important for NAS. 1-8 - Guolou Ping, Xiaojun Ye:
Open-Set Intrusion Detection with MinMax Autoencoder and Pseudo Extreme Value Machine. 1-8 - Rong Gao, Jiakang Liu, Yonghong Yu, Donghua Liu, Xiongkai Shao, Zhiwei Ye:
Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning. 1-8 - Shuoyi Ran, Thomas Weise, Zhize Wu:
Chemical Safety Sign Detection: A Survey and Benchmark. 1-7 - Nassim Mokhtari, Alexis Nédélec, Marlène Gilles, Pierre De Loor:
Improving Neural Architecture Search by Mixing a FireFly algorithm with a Training Free Evaluation. 1-8 - Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija, Ryan Rabinowitz, Steve Cruz, Chunchun Li, Terrance E. Boult:
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions. 1-10 - Maciej Zelaszczyk, Jacek Mandziuk:
Audio-to-Image Cross-Modal Generation. 1-8 - Qi Li, Yuichiro Toda, Keisuke Nagao, Takayuki Matsuno:
Environmental Map Learning Method based on Growing Neural Gas for a Mobile Robot. 1-8 - Jun-Jie Tao, Guo-Ying Zhu, Yi Ji, Ying Li, Chunping Liu:
Semantic Image Synthesis via Hierarchical Structure Features. 1-8 - Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp:
On Calibration of Graph Neural Networks for Node Classification. 1-8 - Jiaqi Jin, Mengfei Zhang, Mao Pan, Jinyun Fang:
DynGCF: Augmenting Inactive Users and Items in Dynamic Graph-based Collaborative Filtering. 1-8 - Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik:
Hawkes Process Classification through Discriminative Modeling of Text. 1-8 - Jinjuan Cao, Zhong Qian, Peifeng Li:
End-to-End Event Factuality Identification with Cross-Lingual Information. 1-8 - Ruiyang Yang, Siheng Li, Beihong Jin:
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving. 1-8 - Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Efficient Uncertainty Quantification for Multilabel Text Classification. 1-8 - Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, Ming Zhang:
HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors. 1-8 - Zhiqiang Li, Qinbing Fu, Haiyang Li, Shigang Yue, Jigen Peng:
Dynamic Signal Suppression Increases the Fidelity of Looming Perception Against Input Variability. 1-8 - Hengyi Zhou, Longjun Liu, Haonan Zhang, Hongyi He, Nanning Zheng:
CMB: A Novel Structural Re-parameterization Block without Extra Training Parameters. 1-9 - Hanqing Cai, Xin Li, Yi Ji, Ying Li, Chunping Liu:
Parallel Data Augmentation for Text-based Person Re-identification. 1-8 - George-Silviu Nastasescu, Dumitru-Clementin Cercel:
Conditional Wasserstein GAN for Energy Load Forecasting in Large Buildings. 1-8 - Fang Lei:
A Bio-inspired Dark Adaptation Framework for Low-light Image Enhancement. 1-8 - Wenbiao Yin, Lin Shang:
ContextBert: Enhanced Implicit Sentiment Analysis Using Implicit-sentiment-query Attention. 1-8 - Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli:
Novel Applications for VAE-based Anomaly Detection Systems. 1-8 - Enrico De Santis, Francesco Arnò, Alessio Martino, Antonello Rizzi:
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains. 1-8 - Takahiro Iinuma, Sou Nobukawa, Satoshi Yamaguchi:
Assembly of Echo State Networks Driven by Segregated Low Dimensional Signals. 1-8 - Jianfeng Men, Liu Yang:
Driving Scene Supplementary Class Balancing Network for Edge Driving Scene Recognition. 1-8 - Harpreet Singh, Na Helian, Rod Adams, Yi Sun:
Sentiment Analysis using BLSTM-ResNet on Textual Images. 1-8 - Zijian Zhang, Chang Shu, Youxin Chen, Jing Xiao, Qian Zhang, Zheng Lu:
ICAF: Iterative Contrastive Alignment Framework for Multimodal Abstractive Summarization. 1-8 - Bhumika, Debasis Das:
UApredictor: Urban Anomaly Prediction from Spatial-Temporal Data using Graph Transformer Neural Network. 1-8 - Chao Wei, Zhidong Deng:
Few-shot Graph Classification with Contrastive Loss and Meta-classifier. 1-8 - Joseph Zalameda, Brady Kruse, Alexander Glandon, Megan A. Witherow, Sachin Shetty, Khan M. Iftekharuddin:
Generalized Adversarial and Hierarchical Co-occurrence Network based Synthetic Skeleton Generation and Human Identity Recognition. 1-8 - Yan Zhao, Weicong Chen, Kai Huang, Jihong Zhu:
Feature Re-Balancing for Long-Tailed Visual Recognition. 1-8 - Aryan Rastogi, Qian Liu, Erik Cambria:
Stress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study. 1-8 - Raghav Jain, Tulika Saha, Souhitya Chakraborty, Sriparna Saha:
Domain Infused Conversational Response Generation for Tutoring based Virtual Agent. 1-8 - Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz:
LIFEWATCH: Lifelong Wasserstein Change Point Detection. 1-8 - Sebastián Basterrech, Gerardo Rubino:
Evolutionary Echo State Network: evolving reservoirs in the Fourier space. 1-8 - Yuanbo Hou, Bo Kang, Wout Van Hauwermeiren, Dick Botteldooren:
Relation-guided acoustic scene classification aided with event embeddings. 1-8 - Hemeng Tao, Latifur Khan, Bhavani Thuraisingham:
Personalized Hashtag Recommendation with User-level Meta-learning. 1-8 - Lourdes Martínez-Villaseñor, Hiram Ponce, Antonieta Martínez-Velasco, Luis Miralles-Pechuán:
An Explainable Tool to Support Age-related Macular Degeneration Diagnosis. 1-8 - Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger:
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. 1-8 - Wei Dong, Zhenwei Wang, Bingbing Zhang, Jianxin Zhang, Qiang Zhang:
High-order Correlation Network for Video Recognition. 1-7 - Ya-nan Han, Jianwei Liu:
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning. 1-7 - Yi Zhang, Jing Zhao, Shiliang Sun:
Diverse Machine Translation with Translation Memory. 1-8 - Luoyu Chen, Jungang Xu, Kun Jing, Yingfei Sun:
A Graph Architecture Search Method Based On Grouped Operations. 1-7 - Lucas Schott, Hatem Hajri, Sylvain Lamprier:
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network. 1-8 - Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. 1-8 - Adnan Rachmat Anom Besari, Azhar Aulia Saputra, Wei Hong Chin, Naoyuki Kubota, Kurnianingsih:
Hand-Object Interaction Detection based on Visual Attention for Independent Rehabilitation Support. 1-6 - Usman Mahmood, Daniel L. Pimentel-Alarcón:
Fusion Subspace Clustering for Incomplete Data. 1-8 - Pallabi Saikia, Dhwani Dholaria, Priyanka Yadav, Vaidehi Patel, Mohendra Roy:
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features. 1-7 - Santosh Kumar Yadav, Shreyas Bhat Kera, Raghurama Varma Gonela, Kamlesh Tiwari, Hari Mohan Pandey, Ali Akbar Shaikh:
TBAC: Transformers Based Attention Consensus for Human Activity Recognition. 1-8 - Junxian Wu, Yujia Zhang, Xiaoguang Zhao:
Multi-Task Learning for Pavement Disease Segmentation Using Wavelet Transform. 1-8 - Junru Sheng, Peng Zhai, Zhiyan Dong, Xiaoyang Kang, Chixiao Chen, Lihua Zhang:
Curriculum Adversarial Training for Robust Reinforcement Learning. 1-8 - Xueyong Jiang, Baisong Liu, Jiangcheng Qin, Yunchong Zhang, Jiangbo Qian:
FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System. 1-8 - Manuel Benavent-Lledó, Sergiu Oprea, John Alejandro Castro-Vargas, David Mulero-Perez, José García Rodríguez:
Predicting Human-Object Interactions in Egocentric Videos. 1-7 - Yifan Li, Yu Lin, Yang Gao, Latifur Khan:
Unified Spatio-Temporal Graph Neural Networks: Data-Driven Modeling for Social Science. 1-8 - Daniel Staps, Ronny Schubert, Marika Kaden, Alexander Lampe, Wieland Hermann, Thomas Villmann:
Prototype-based One-Class-Classification Learning Using Local Representations. 1-8 - Haoyu Liu, Yang Liu, Xingrui Wang, Hanfang Yang:
Exploring Coarse-grained Pre-guided Attention to Assist Fine-grained Attention Reinforcement Learning Agents. 1-7 - Yanhua Yu, Fangting Shen, Shengli Yang, Jie Li, Yuling Wang, Ang Ma:
Automatic Graph Generation for Document-Level Relation Extraction. 1-7 - Emel Ay, Maxime Devanne, Jonathan Weber, Germain Forestier:
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification. 1-8 - Xuena Ren, Dongming Zhang, Xiuguo Bao:
Person Re-identification with a Cloth-Changing Aware Transformer. 1-8 - Shiwen Sun, Hongxi Wei:
A Mongolian Handwritten Word Images Generation Approach Based on Generative Adversarial Networks. 1-8 - Xiao-Lei Xia, Mingxing Ouyang:
Enhancing Sparsity of Support Vector Machines by Ridge Regression. 1-8 - Francisco Santos, Junke Ye, Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian:
FACS-GCN: Fairness-Aware Cost-Sensitive Boosting of Graph Convolutional Networks. 1-8 - Chengxuan Tong, Yi Ding, Kevin Junliang Lim, Zhuo Zhang, Haihong Zhang, Cuntai Guan:
TESANet: Self-attention network for olfactory EEG classification. 1-7 - Kaveh Mahdavi, Jesús Labarta, Judit Giménez, Atefeh Mousavinia, Atiyeh Mousavinia:
Feature Space Curvature Map: A Method To Homogenize Cluster Densities. 1-10 - Liang Xue, Zhaohui Peng, Jiaqi Zhang, Fangjun Wang, Yilin Wang:
MTAP-DK: Multivariate Time-Series Anomaly Prediction with Domain Knowledge. 1-8 - Rui Yang, Qun Li, Yaying Shen, Ziyi Zhang:
Anomaly Detection in Surveillance Videos via Memory-augmented Frame Prediction. 1-8 - Massimo Pavan, Armando Caltabiano, Manuel Roveri:
TinyML for UWB-radar based presence detection. 1-8 - Ziye Tong, Wei Xi:
Learning Multi-Level Consistency for Noisy Labels. 1-8 - Xinping Zhao, Yingchun Yang:
SGLCMR: Self-supervised Graph Learning of Generalized Representations for Cross-Market Recommendation. 1-8 - Yutao Huang, Ye Wang, Qing Liao, Yan Jia, Yongquan Fu:
Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs. 1-9 - Fousiya Saleem, Mohammad Hamdan, Ali M. S. Zalzala:
Towards Well-Being Management with Automated Qualitative Data Analysis. 1-7 - Jingyun Jia, Philip K. Chan:
Representation Learning with Function Call Graph Transformations for Malware Open Set Recognition. 1-8 - Dwait Bhatt, Naresh Kumar, Anuradha Kanukotla, Prateek Bansal, Syama Sudheesh, Jaeho Kim:
Intelligent Boosting for Low Power-High Performance System. 1-8 - Mingyuan Bai, Jie Chen, Qibin Zhao, Chao Li, Junping Zhang, Junbin Gao:
Tensor Neural Controlled Differential Equations. 1-9 - Xue Wang, Peiyu Liu, Zhenfang Zhu, Ran Lu:
Interactive Double Graph Convolutional Networks for Aspect-based Sentiment Analysis. 1-7 - Wael Suliman, Vinayakumar Ravi, Bin Luo, Xiao-Feng Sun, Tuan D. Pham:
Convolutional Neural Networks and Support Vector Machines for Five-Year Survival Analysis of Metastatic Rectal Cancer. 1-8 - Zafran Hussain Shah, Marcel Müller, Barbara Hammer, Thomas Huser, Wolfram Schenck:
Impact of different loss functions on denoising of microscopic images. 1-10 - Yongquan Lin, Liang Ge, Senwen Li, Bo Zeng:
Prior Knowledge and Data-Driven Based Long- and Short-Term Fusion Network for Traffic Forecasting. 1-8 - Shoukang Han, Neng Gao, Xiaobo Guo, Yiwei Shan:
RuleSQLova: Improving Text-to-SQL with Logic Rules. 1-8 - Fabian Gerz, Tolga Renan Bastürk, Julian Kirchhoff, Joachim Denker, Lou'i Al-Shrouf, Mohieddine Jelali:
A Comparative Study and a New Industrial Platform for Decentralized Anomaly Detection Using Machine Learning Algorithms. 1-8 - Hui Chen, Hezhe Qiao, Fan Zhu, Lin Chen:
Alzheimer's Disease Clinical Scores Prediction based on the Label Distribution Learning using Brain Structural MRI. 1-8 - Bi-Cheng Yan, Hsin-Wei Wang, Shih-Hsuan Chiu, Hsuan-Sheng Chiu, Berlin Chen:
Effective Cross-Utterance Language Modeling for Conversational Speech Recognition. 1-6 - Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling on Temporal Graphs. 1-8 - Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang, Jiangbo Qian:
Ranking-based Federated POI Recommendation with Geographic Effect. 1-8 - Xuefeng Li, Alan Blair:
Eccentric regularization: minimizing hyperspherical energy without explicit projection. 1-9 - Nahuel E. Garcia-D'Urso, Alejandro Galán-Cuenca, Pau Climent-Pérez, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló:
Efficient instance segmentation using deep learning for species identification in fish markets. 1-8 - Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain, Yonina C. Eldar, Saikat Chatterjee:
Neural Greedy Pursuit for Feature Selection. 1-7 - Fedor V. Fomin, Fahad Panolan, Anurag Patil, Adil Tanveer:
Boolean and $\mathbb{F}_{p}$-Matrix Factorization: From Theory to Practice. 1-8 - Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. 1-8 - Xiyao Ma, Qian Hu, Zheng Gao, Mohamed Abdelhady:
Contrastive Co-training for Diversified Recommendation. 1-9 - Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman:
A Local Optima Network Analysis of the Feedforward Neural Architecture Space. 1-8 - Tao Zheng, Sunny Verma, Wei Liu:
Interpretable Binaural Ratio for Visually Guided Binaural Audio Generation. 1-8 - Yifei Jin, Marios Daoutis, Sarunas Girdzijauskas, Aristides Gionis:
Open World Learning Graph Convolution for Latency Estimation in Routing Networks. 1-8 - Arturo de Souza, Mateus Begnini Melchiades, Sandro José Rigo, Gabriel de Oliveira Ramos:
MoStress: a Sequence Model for Stress Classification. 1-8 - Félix Fuentes-Hurtado, Tom Delaire, Florian Levet, Jean-Baptiste Sibarita, Virgile Viasnoff:
MID3A: Microscopy Image Denoising meets Differentiable Data Augmentation. 1-9 - Wolfgang Fuhl, Enkelejda Kasneci:
Maximum and Leaky Maximum Propagation. 1-8 - Yuhang Wang, Canlong Zhang, Zhiwen Wang, Zhixin Li:
Image Captioning According to User's Intention and Style. 1-9 - Xianlai Chen, Xuantong Zhong, Taixiang Li, Ying An, Long Mo:
NormToRaw: A Style Transfer Based Self-supervised Learning Approach for Nuclei Segmentation. 1-7 - Weihang Zhang, Xiucai Ye, Testuya Sakurai:
Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering. 1-8 - Rafal Zdunek, Mateusz Gabor:
Nested compression of convolutional neural networks with Tucker-2 decomposition. 1-8 - Junxin Li, Wei Wang, Hai-Tao Zheng, Jun Gao, Rui Xie, Wei Wu:
AMR-to-Text Generation with Graph Structure Reconstruction and Coverage Mechanism. 1-8 - Mengxuan Sun, Peipei Li, Junlong Li, Xuegang Hu:
Multi-Label Learning with Missing Labels via Common and Label-Specific Features. 1-8 - Yingying Zhong, Erika Varis Doggett, Weichu Cui, Keyu Qi, Hailing Zhou, Binghao Tang, Anna M. C. Wolak, David T. Nguyen:
Measuring Noticeability: Multi-scale Context Aggregation for Prioritizing Video Anomalies. 1-8 - Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi:
Predicting Human Decision Making with LSTM. 1-8 - Qifu Hu, Zhoutian Feng, Daiyue Xue, Mingchen Cai, Jianping Yu:
Towards An Integrated Framework for Neural Temporal Point Process. 1-8 - Haoda Qian, Minjie Yuan, Qiudan Li, Daniel Zeng:
A BERT-based Heterogeneous Graph Convolution Approach for Mining Organization-Related Topics. 1-8 - Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Pixle: a fast and effective black-box attack based on rearranging pixels. 1-7 - Wout Van Hauwermeiren, Yuanbo Hou, Karlo Filipan, Dick Botteldooren:
Sensor characterization for supporting de-noising and auto-calibration of sensor data. 1-7 - Marcilio De Oliveira Meira, Anne Magály de Paula Canuto, Bruno Motta de Carvalho, Roberto Levi Cavalcanti Jales:
Evaluating Brain Regions That Characterize Attention Deficit/Hyperactivity Disorder Based on SPECT Images and Machine Learning Models. 1-8 - Shanlin Zhong, Junjie Zhou, Wei Wu:
Constructing Constraint Force Field in Musculoskeletal Robot by Co-optimizing Muscle Arrangements and Constant Activations. 1-7 - Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool:
Adversarially Robust Continual Learning. 1-8 - Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Fractional-Order Learning Systems. 1-6 - Chenyu Sun, Chunyan Miao:
CD-SLFN: A Curiosity-Driven Online Sequential Learning Framework with Self-Adaptive Hot Cognition. 1-8 - Carlo D'Eramo, Georgia Chalvatzaki:
Prioritized Sampling with Intrinsic Motivation in Multi-Task Reinforcement Learning. 1-8 - Chen Zheng, Bernhard Pfahringer, Michael Mayo:
Alzheimer's Disease Detection via a Surrogate Brain Age Prediction Task using 3D Convolutional Neural Networks. 1-8 - Jeremy Davis, James B. Haynie, Derek T. Anderson, Cindy L. Bethel, J. Edward Swan, John E. Ball, Amy Bednar:
Spatial Relationship-Driven Computer Vision Image Data Set Annotation. 1-8 - Shihong Wang, Xueying Zhang, Yichen Meng, Wei W. Xing:
E-LMC: Extended Linear Model of Coregionalization for Spatial Field Prediction. 1-8 - Supriyo Mandal, Abyayananda Maiti:
Heterogeneous Trust-based Social Recommendation via Reliable and Informative Motif-based Attention. 1-8 - Lorenzo Puppi Vecchi, Eliane C. F. Maffezzolli, Emerson Cabrera Paraiso:
Transferring multiple text styles using CycleGAN with supervised style latent space. 1-6 - Bo Xu, Zhong Sun, Ming Du, Hui Song, Hongya Wang:
Knowledge Base Entity Typing From Text via Entity-Aware Heterogeneous Graph Attention Network. 1-7 - Stefano Campese, Federico Agostini, Jacopo Pazzini, Davide Pozza:
Beyond Transformers: fault type detection in maintenance tickets with Kernel Methods, Boost Decision Trees and Neural Networks. 1-8 - Dilantha Haputhanthri, Evgeny Osipov, Sachin Kahawala, Daswin De Silva, Thimal Kempitiya, Damminda Alahakoon:
Evaluating Complex Sparse Representation of Hypervectors for Unsupervised Machine Learning. 1-6 - Bhumika, Debasis Das, Sajal K. Das:
RsSafe: Personalized Driver Behavior Prediction for Safe Driving. 1-8 - Wasiq Khan, Bilal Muhammed Khan, Luke K. Topham, Salwa Yasen, Ahmed Al-Dahiri, Hoshang Kolivand, Marley M. B. R. Vellasco, Abir Hussain:
Acceptance and Perception of Covid-19 Vaccination for Children. 1-6
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