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ORCID9th DSAA 2022: Shenzhen, China
- Joshua Zhexue Huang, Yi Pan, Barbara Hammer, Muhammad Khurram Khan, Xing Xie, Laizhong Cui, Yulin He:
9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022. IEEE 2022, ISBN 978-1-6654-7330-9 - Yi Cai
, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi:
Power of Explanations: Towards automatic debiasing in hate speech detection. 1-10 - Christina Pacher, Irene Schicker, Rosmarie deWit, Katerina Hlavácková-Schindler, Claudia Plant:
AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree. 1-10 - Yuwei Chuai, Yutian Chang, Jichang Zhao:
What Really Drives the Spread of COVID-19 Tweets: A Revisit from Perspective of Content. 1-10 - Tinglong Tang, Xiaowang Chen, Yirong Wu, Shuifa Sun, Mei Yu:
Image Classification Based on Deep Graph Convolutional Networks. 1-6 - Jiachun Tao, Liang Chen, Junhua Fang:
A novel real-time trajectory compression method for privacy protection. 1-10 - Jakub Michal Bilski, Agnieszka Jastrzebska:
COSTI: a New Classifier for Sequences of Temporal Intervals. 1-10 - Sheng Zhou, Pierre Blanchart, Michel Crucianu, Marin Ferecatu:
Why is the prediction wrong? Towards underfitting case explanation via meta-classification. 1-9 - Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu:
Enhancing Individual Fairness through Propensity Score Matching. 1-10 - Benedikt Böing, Emmanuel Müller:
On Training and Verifying Robust Autoencoders. 1-10 - Raneen Younis, Sergej Zerr, Zahra Ahmadi:
Multivariate Time Series Analysis: An Interpretable CNN-based Model. 1-10 - Shuo Wang, Ziqiang Wu, Sheng Bi, Zheng Zhang, Xiaomin Huang, Ming-Yang Zhou, Hao Liao:
Community Splitter: A Network Embedding Method for Predicting Missing Links. 1-10 - Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang:
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. 1-10 - Jan David Hüwel, Anne Gresch, Fabian Berns, Ruben Koch, Martina Düfer, Christian Beecks:
Tracing Patterns in Electrophysiological Time Series Data. 1-10 - Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao:
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery. 1-7 - Chenhao Xu, Youyang Qu, Yong Xiang, Longxiang Gao, David Smith, Shui Yu:
BASS: Blockchain-Based Asynchronous SignSGD for Robust Collaborative Data Mining. 1-7 - Lang Zhao, Yiqun Zhang, Yuzhu Ji, An Zeng, Fangqing Gu, Xiaopeng Luo:
Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts. 1-10 - Mingtao Ye, Liping Wang, Jingran Zhang, Xin Sheng, Guodao Zhang:
SA-FGDEM: A Self-adaptive E-Learning Performance Prediction Model. 1-8 - Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini:
Graph Attention Network for Camera Relocalization on Dynamic Scenes. 1-10 - Luca Arrotta, Gabriele Civitarese, Michele Fiori, Claudio Bettini:
Explaining Human Activities Instances Using Deep Learning Classifiers. 1-10 - Maryam Shahabikargar, Amin Beheshti, Amin Khatami, Ricky Nguyen, Xuyun Zhang, Hamid Alinejad-Rokny:
Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns. 1-10 - Huan Zhao, Haoqian Wang, Xupeng Zha, Song Wang:
Cross-Modal Image-Text Matching via Coupled Projection Learning Hashing. 1-10 - Cheyenne Powell, Annalisa Riccardi:
Abstract Argumentation for Explainable Satellite Scheduling. 1-10 - Yaping Zhao, Zhongrui Wang, Edmund Y. Lam:
Improving Source Localization by Perturbing Graph Diffusion. 1-9 - Ran Ziv, Ilan Gronau, Michael Fire:
CompanyName2Vec: Company Entity Matching based on Job Ads. 1-10 - Kohei Hayashi, Kei Nakagawa:
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory. 1-10 - Uday Singh Saini, Evangelos E. Papalexakis:
Multi-aspect Matrix Factorization based Visualization of Convolutional Neural Networks. 1-12 - Ta-Chun Shen, Chun-Pai Yang, Ian En-Hsu Yen, Shou-De Lin:
Towards ℓ1 Regularization for Deep Neural Networks: Model Sparsity Versus Task Difficulty. 1-9 - Jianchao Lu, Yuzhe Tian, Shuang Wang, Michael Sheng, Xi Zheng:
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition. 1-8 - Lin Zhang, Rui Li:
A Large-scale Friend Suggestion Architecture. 1-9 - Giorgio Visani, Giacomo Graffi, Mattia Alfero, Enrico Bagli, Federico Chesani, Davide Capuzzo:
Enabling Synthetic Data adoption in regulated domains. 1-10 - Jakub Jakubowski, Przemyslaw Stanisz, Szymon Bobek, Grzegorz J. Nalepa:
Roll Wear Prediction in Strip Cold Rolling with Physics-Informed Autoencoder and Counterfactual Explanations. 1-10 - Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng:
A Systematical Evaluation for Next-Basket Recommendation Algorithms. 1-10 - Chendong Zhao, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Haoqian Wang, Jing Xiao:
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition. 1-8 - Rongwei Xu, Guanfeng Liu, Xianmei Hua, Shiqi Ye, Xuyun Zhang, Junwen Lu:
Attention-aware Multi-hop Trust Inference in Online Social Networks. 1-10 - Soumitra Mehrotra, Anna Cinzia Squicciarini, Edoardo Serra, Younes Karimi:
COVID-19 and Haters - A User Model Perspective. 1-9 - Ying Li, Muhammad Daffa Robani, Victor Suciu, Joy He-Yueya:
Inventory Purchase Recommendation for Merchants in Traditional FMCG Retail Business. 1-10 - Yuchong Yao, Xiaohui Wang, Yuanbang Ma, Han Fang, Jiaying Wei, Liyuan Chen, Ali Anaissi, Ali Braytee:
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks. 1-10 - Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet:
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams. 1-10 - Zhong Zheng, Yuan-Ting Yan, Yiwen Zhang, Yanping Zhang:
Combating Mutuality with Difficulty Factors in Multi-class Imbalanced Data: A Similarity-based Hybrid Sampling. 1-10 - He Huang, Nan Sun, Xufeng Lin:
Blockwise Spectral Analysis for Deepfake Detection in High-fidelity Videos. 1-9 - Ritam Nandi, Siddaarth Prasanna, Prajit Rajkumar:
Multi-Parameter Forecasting of Fatalities in Road Traffic Accidents. 1-2 - Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras:
Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees. 1-10 - Ming Shi, Jing Zhao:
A Knowledge Graph Link Prediction Model with Combined 1D and 2D Convolutional Embeddings. 1-2 - Shaojie Yan, Tao Zhao, Jinsheng Deng:
Interaction-aware Hypergraph Neural Networks for User Profiling. 1-10 - Xiaoxiao Yang, Jungang Xu:
Few-shot Edge Classification in Graph Meta-learning. 1-7 - Xiaoxuan Zhao, Qingxiang Wang:
Depression Detection Based on Human Simple Kinematic Skeletal Data. 1-2 - Chao-Fan Pan, Fan Min, Heng-Ru Zhang, Yu Wang:
BRL: Learning behavior representations of Reversi players. 1-10 - Dora D. Liu, Zhongyuan Lai, Usman Naseem:
A Side Information Enhanced Matrix Factorization Approach via Hierarchical Generalized Linear Model. 1-9 - Francesco Lomuscio, Paolo Bajardi, Alan Perotti, Elvio G. Amparore:
Streamlining models with explanations in the learning loop. 1-10 - Krzysztof Kaczmarski, Jakub Narebski, Stanislaw Piotrowski, Piotr Przymus:
Fast JSON parser using metaprogramming on GPU. 1-10 - Animesh Chaturvedi, Aruna Tiwari, Nicolas Spyratos:
System Network Analytics: Evolution and Stable Rules of a State Series. 1-10 - Canh V. Pham, Dung K. T. Ha, Huan X. Hoang, Tan D. Tran:
Fast Streaming Algorithms for k-Submodular Maximization under a Knapsack Constraint. 1-10 - H. Ruda Nie, Xiuzhen Zhang, Minyi Li, Anil Dolgun:
Mitigation of Rumours in Social Networks via Epidemic Model-based Reinforcement Learning. 1-10 - Tobias Westmeier, Diego Botache, Maarten Bieshaar, Bernhard Sick:
Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches. 1-10 - Deeptaanshu Kumar, Suxi Li:
Separating Storage and Compute with the Databricks Lakehouse Platform. 1-2 - Donglin Wu, Jing Zhao, Ming Li:
A Convolution Quaternion-Based Inverse Relational Rotation Embedding Knowledge Representation Method. 1-2 - Xiang Zeng, Yujia Liu, Xin Song, Yingdan Shang, Bin Zhou:
TiSA: a Time Interval Aware Self-Attention model for Popularity Prediction on Social Networks. 1-7 - Animesh Chaturvedi, Rajesh Sharma:
minOffense: Inter-Agreement Hate Terms for Stable Rules, Concepts, Transitivities, and Lattices. 1-10 - Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users. 1-10 - Penugonda Ravikumar, R. Uday Kiran, Palla Likhitha, T. Chandrasekhar, Yutaka Watanobe, Koji Zettsu:
Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases. 1-10 - Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Mattias Ohlsson:
SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP. 1-10 - Andrian Putina, Maroua Bahri, Flavia Salutari, Mauro Sozio:
AutoAD: an Automated Framework for Unsupervised Anomaly Detectio. 1-10 - Magdalena Ziolo, Piotr Bródka, Anna Spoz, Jaroslaw Jankowski:
Modeling the impact of external influence on green behaviour spreading in multilayer financial networks. 1-10 - Alessia Galdeman, Matteo Zignani, Sabrina Gaito:
Disentangling the Growth of Blockchain-based Networks by Graph Evolution Rule Mining. 1-10 - Jiuqian Dai, Weihua Yuan, Chen Bao, Zhijun Zhang:
DGNN: Denoising graph neural network for session-based recommendation. 1-8 - Attiq Ur-Rehman, Joarder Kamruzzuman, Iqbal Gondal, Alireza Jolfaei:
Fuzzy-Based Operational Resilience Modelling. 1-8 - Mei Yang, Wen-Tao Tang, Fan Min:
Multi-instance Multi-label Learning Based on Parallel Attention and Local Label Manifold Correlation. 1-10 - Ying An, Lebing Pan, Lin Guo, Xianlai Chen, Yu Shen:
Percept U-Net: Percept Attention-based Convolutional Neural Network for Atrial Fibrillation Episode Localization. 1-9 - Di Weng, Yang Yang, Jichang Zhao:
Positive emotions help rank negative reviews for sellers and producers in e-commerce. 1-10 - Bowen Chen, Yun Sing Koh, Gillian Dobbie, Ocean Wu, Guy Coulson, Gustavo Olivares:
Online Air Pollution Inference using Concept Recurrence and Transfer Learning. 1-10 - Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz:
Active Lifelong Anomaly Detection with Experience Replay. 1-10 - Noorain Zaidi, Priya Kumari, Sutharshan Rajasegarar, Chandan K. Karmakar:
Machine Learning Aided Minimal Sensor based Hand Gesture Character Recognition. 1-9 - Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi:
Transparent Latent Space Counterfactual Explanations for Tabular Data. 1-10 - Haohong Liao, Silin Zheng, Xuelin Shen, Mark Junjie Li, Xu Wang:
Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking. 1-9 - Jonas Sonntag, Gunnar Behrens, Lars Schmidt-Thieme:
Positive-Unlabeled Domain Adaptation. 1-10 - Lin Zhang, Nicholas Moskwa, Melinda Larsen, Petko Bogdanov:
Unsupervised Instance and Subnetwork Selection for Network Data. 1-10 - Xinna Wang, Shunmei Meng, Yanran Chen, Qiyan Liu, Rui Yuan, Qianmu Li:
Federated Deep Recommendation System Based on Multi-View Feature Embedding. 1-9 - Ziqing Wang, Zhirong Ye, Yuyang Du, Yi Mao, Yanying Liu, Ziling Wu, Jun Wang:
AMD-DBSCAN: An Adaptive Multi-density DBSCAN for datasets of extremely variable density. 1-10 - Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao:
Machine Unlearning Method Based On Projection Residual. 1-8 - Maik Büttner, Christian Beyer, Myra Spiliopoulou:
Reducing Missingness in a Stream through Cost-Aware Active Feature Acquisition. 1-10 - Zhiyong Zhang, Ruyu Liu, En Xie, Guodao Zhang:
Large Scale Point Cloud Classification Base on Graph-MLP++. 1-6 - Yaping Zhao, Ramgopal Ravi, Shuhui Shi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao:
PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction. 1-10 - Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Steven Wood:
Evidence Based Pipeline for Explaining Artificial Intelligence Algorithms with Interactions. 1-9 - Jinfeng Zhong, Elsa Negre:
A3R: Argumentative explanations for recommendations. 1-9 - Joana Cristo Santos, Pedro Henriques Abreu, Miriam Seoane Santos:
The identification of cancer lesions in mammography images with missing pixels: analysis of morphology. 1-8 - Shuo Zhao, Zhongwen Guo, Sining Jiang, Hao Wang, Wei Jing:
A Fast Block-Based Feature Method for Low Cost Dynamic Objects Detection. 1-8 - Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming:
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. 1-9 - Yaping Zhao, Shuhui Shi, Ramgopal Ravi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao:
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing. 1-10 - Michal Czuba, Piotr Bródka:
Simulating Spreading of Multiple Interacting Processes in Complex Networks. 1-10 - Zhibang Quan, Tao Sun, Mengli Su, Jishu Wei:
Multimodal Humor Detection Based on Cross-Modal Attention and Modal Maximum Correlation. 1-2 - Sining Jiang, Zhongwen Guo, Shuo Zhao, Hao Wang, Wei Jing:
CE-GAN : A Camera Image Enhancement Generative Adversarial Network for Autonomous Driving. 1-6 - Hua Yang, Ming Gu:
A New Baseline of Policy Gradient for Traveling Salesman Problem. 1-7 - Fahim Faisal, Noman Mohammed, Carson K. Leung, Yang Wang:
Generating Privacy Preserving Synthetic Medical Data. 1-10 - Bin-Yuan Rong, Heng-Ru Zhang, Gui-Lin Li, Fan Min:
Label Distribution Learning with Data Augmentation using Generative Adversarial Networks. 1-10 - Weihao Ye, Ziyang Mai, Qiudan Zhang, Xu Wang:
A Learning-based Framework for Multi-View Instance Segmentation in Panorama. 1-9 - Ju Zhao, Qingxiang Wang:
Eye Movement Attention Based Depression Detection Model. 1-2 - Shicheng Wan, Jieying Deng, Wensheng Gan, Jiahui Chen, Philip S. Yu:
Fast Mining RFM Patterns for Behavioral Analytics. 1-10 - Alfred Krzywicki, Ashesh Mahidadia, Michael Bain:
Discovering Periodicity in Locally Repeating Patterns. 1-10 - Li-Yan Liu, Peng Huang, Fan Min:
Safe Multi-view Co-training for Semi-supervised Regression. 1-10 - Junfeng Wu, Guangyan Huang, Hui Zheng, Guang-Li Huang, Yu Hu, Jing He:
Repeatable Pattern Mining for Accurate Subtraction of Backgrounds with Waving Objects in Underwater Videos. 1-11 - Sauman Das, Arnav Jain, Audhav Durai, Sameer Gabbita, Aditya Vasantharao, Vishal Kotha:
Cross-Dataset Evaluation of Multimodal Neural Networks for Glaucoma Diagnosis. 1-2 - Mustafa Cavus, Przemyslaw Biecek:
Explainable expected goal models for performance analysis in football analytics. 1-9 - Pham Phu Manh, Tran Thi Hue, Huynh Thi Thanh Binh, Nguyen Khanh Phuong:
The min-timespan parallel technician-and-drone scheduling in door-to-door sampling service system. 1-10 - Shaina Raza, Syed Raza Bashir, Usman Naseem, Dora D. Liu, Deepak John Reji:
Incorporating Accuracy and Diversity in a News Recommender System. 1-10 - Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao:
Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping. 1-9 - Yankin Chi, Raymond K. Wong, Hongkuan Wang, John Shepherd:
Incorporating neighborhood features in RNNs for popularity forecasting for emerging research fields. 1-10 - Dinh Anh Dung, Huynh Thi Thanh Binh:
GDEGAN: Graphical Discriminative Embedding GAN for tabular data. 1-11 - Li-Yan Liu, Jia-Hui Zhang, Fan Min:
Semi-supervised Regression with Data Partitioning and Feature Mapping. 1-10 - Maximilian Blasi, Manuel Freudenreich, Johannes Horvath, David Richerby, Ansgar Scherp:
Graph Summarization as Vertex Classification Task using Graph Neural Networks vs. Bloom Filter. 1-10 - Jian Zheng, Honchun Qu, Zhoni Li, Lin Li:
Conformal transformation twin-hyperspheres for highly imbalanced data to binary classification. 1-6 - Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao:
Attention-based Feature Fusion for Reconstructing Gene-Regulatory Interactions. 1-7 - Ziqi Xu, Yahui Lu, Yu Jiang:
Research on Mini-Batch Affinity Propagation Clustering Algorithm. 1-10 - Anbumunee Ponniah, Swati Agarwal, Sharanya Milind Ranka, Shashank Madhusudhan:
A Transfer Learning Framework For Annotating Implementation-Specific Corpus. 1-10 - Zhaowen Yin, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philippe Fournier-Viger:
Constraint-based Sequential Rule Mining. 1-10 - Chuanhui Zhang, Junxiao Chen, Tao Shu, Jinghua Tan:
Enterprise Event Risk Detection Based on Supply Chain Contagion. 1-10 - Guoxi Zhang, Jiyi Li, Hisashi Kashima:
Improving Pairwise Rank Aggregation via Querying for Rank Difference. 1-9 - Zahra Fatemi, Abari Bhattacharya, Andrew Wentzel, Vipul Dhariwal, Lauren Levine, Andrew Rojecki, G. Elisabeta Marai, Barbara Di Eugenio, Elena Zheleva:
Understanding Stay-at-home Attitudes through Framing Analysis of Tweets. 1-10 - Wei Lan, Wenguang Wang:
Dual Channel Hybrid Messaging-Passing Graph Convolutional Network for Recommendation. 1-7 - Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme:
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series. 1-10 - Ying Guo, Ping Ji, Jingxiang Xu, Peng Liu:
Range-free and Level-based Localization with Malicious Node Identification in Underwater Sensor Networks. 1-9
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