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ORCID21st ICMLA 2022: Nassau, Bahamas
- M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan:
21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. IEEE 2022, ISBN 978-1-6654-6283-9 - Akhil S. Anand, Jens Erik Kveen, Fares J. Abu-Dakka
, Esten Ingar Grøtli, Jan Tommy Gravdahl:
Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning. 1-6 - Mingming Qiu, Elie Najm, Rémi Sharrock, Bruno Traverson:
Reinforcement Learning Based Architectures for Dynamic Generation of Smart Home Services. 7-14 - Nasik Muhammad Nafi, Creighton Glasscock, William H. Hsu:
Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning. 15-22 - Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal:
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions. 23-28 - Jacqueline Höllig, Cedric Kulbach, Steffen Thoma:
TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification. 29-36 - Indrajeet Ghosh, Avijoy Chakma, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Nicholas R. Waytowich:
PerMTL: A Multi-Task Learning Framework for Skilled Human Performance Assessment. 37-44 - Deqing Fu, Bradley J. Nelson:
Topological Regularization for Dense Prediction. 45-52 - Xuke Yan, Linxi Zhang, Bo Liu, Guangzhi Qu:
A Lightweight and Fast Approach for Upper Limb Range of Motion Assessment. 53-60 - Yang Yang, Mizuka Komatsu, Takenao Ohkawa, Kenji Oyama:
Real-Time Cattle Interaction Recognition via Triple-stream Network. 61-68 - Olaoluwa Adigun, Bart Kosko:
Deeper Bidirectional Neural Networks with Generalized Non-Vanishing Hidden Neurons. 69-76 - Sriram Baireddy, Da-Young Lee, Carlos Gongora-Canul, Christian D. Cruz, Edward J. Delp:
Leaf Tar Spot Detection Using RGB Images. 77-82 - Kaihua Liu, Xudong Liu:
Recycling Material Classification using Convolutional Neural Networks. 83-88 - Charles De Trogoff, Rim Hantach, Gisela Lechuga, Philippe Calvez:
Automatic Key Information Extraction from Visually Rich Documents. 89-96 - Yifan Zhao, Xian Yang, Ranga Raju Vatsavai:
Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery. 97-104 - Alejandro Carnero, Cristian Martín, Manuel Díaz:
Structural health and intelligent monitoring of wind turbine blades with a motorized telescope. 105-112 - Jérôme Rutinowski, Christian Pionzewski, Tim Chilla, Christopher Reining, Michael ten Hompel:
Deep Learning Based Re-Identification of Wooden Euro-pallets. 113-117 - Helik Kanti Thacker, Sairam Jujjarapu, Adrita Barari, Damini, Paulami Das, Sudhanshu Gupta, Akhilesh Sudhir Patankar, Keerthi Kiran Jagannathachar, Deokgu Yoon:
A scalable solution to AlphaZero based Redundancy Analysis for semiconductor chips. 119-125 - Hamidreza Mahyar, Peter Tulala, Elahe Ghalebi, Radu Grosu:
DeepWafer: A Generative Wafermap Model with Deep Adversarial Networks. 126-131 - Frederick Mubang, Lawrence O. Hall:
Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models. 132-139 - Md. Riyadh, M. Omair Shafiq:
Towards Emotion Cause Generation in Natural Language Processing using Deep Learning. 140-147 - Jawaher Alghamdi, Yuqing Lin, Suhuai Luo:
Towards Fake News Detection on Social Media. 148-153 - Ana Carolina Rodrigues, Ricardo M. Marcacini:
Sentence Similarity Recognition in Portuguese from Multiple Embedding Models. 154-159 - Ala Alam Falaki, Robin Gras:
A Robust Approach to Fine-tune Pre-trained Transformer-based models for Text Summarization through Latent Space Compression. 160-167 - Akash Kumar Panda, Bart Kosko:
Bayesian Rule Ontologies For XAI Classification and Regression. 168-175 - Joshua Peeples, Alina Zare, Jeffrey Dale, James Keller:
Histogram Layers for Synthetic Aperture Sonar Imagery. 176-182 - Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman:
Kernelization of Tensor Discriminant Analysis with Application to Image Recognition. 183-189 - Feiyang Cai, Zhenkai Zhang, Jie Liu, Xenofon D. Koutsoukos:
A Vision Transformer Architecture for Open Set Recognition. 190-197 - Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Daniel Da Silva, Michael S. F. Kirk:
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory. 198-205 - Anshuman Chhabra, Prasant Mohapatra:
Fair Algorithms for Hierarchical Agglomerative Clustering. 206-211 - Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang:
BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. 212-219 - Saul Fuster, Trygve Eftestøl, Kjersti Engan:
Nested Multiple Instance Learning with Attention Mechanisms. 220-225 - Daniel Ries, Joshua Michalenko, Tyler Ganter, Rashad Imad-Fayez Baiyasi, Jason Adams:
Comparing the quality of neural network uncertainty estimates for classification problems. 226-233 - Md. Masudur Rahman, Yexiang Xue:
Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning. 234-239 - Gautham Senthilnathan:
Mixed Time-Frame Training for Reinforcement Learning. 240-250 - Alexander V. Demin, Denis K. Ponomaryov:
Interpretable Reinforcement Learning with Multilevel Subgoal Discovery. 251-258 - Andrew Tittaferrante, Abdulsalam Yassine:
Benchmarking Offline Reinforcement Learning. 259-263 - Lixing Song, Luke Ferderer, Shaoen Wu:
Safe Reinforcement Learning for LiDAR-based Navigation via Control Barrier Function. 264-269 - Menore Tekeba Mengistu, Getachew Alemu, Pierre Chevaillier, Pierre De Loor:
Balancing Similarity-Contrast in Unsupervised Representation Learning: Evaluation with Reinforcement Learning. 270-277 - Wen-Hao Chiang, George O. Mohler:
Hawkes Process Multi-armed Bandits for Search and Rescue. 278-285 - Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski:
ACGANs Improve Chemical Sensors for Challenging Distributions. 286-293 - Ebelechukwu Nwafor, Habeeb Olufowobi:
CANBERT: A Language-based Intrusion Detection Model for In-vehicle Networks. 294-299 - Imen Chakroun, Geert Vanmeerbeeck, Roel Wuyts, Wilfried Verarcht:
AI privacy preserving robots working in a smart sensor environment. 300-306 - Giorgio Severi, Will Pearce, Alina Oprea:
Bad Citrus: Reducing Adversarial Costs with Model Distances. 307-312 - Kazuki Kawamura, Jun Rekimoto:
DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech. 313-320 - Murtadha D. Hssayeni, Arash Andalib, Rishabh Singh, Diego Pava, Kan Li, Steven Borzak, Robert Chait, Kaustubh Kale:
ECG Fiducial Point Localization Using a Deep Learning Model. 321-328 - Emily R. Bartusiak, Edward J. Delp:
Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario. 329-336 - Pascal Hecker, Arpita Kappattanavar, Maximilian Schmitt, Sidratul Moontaha, Johannes Wagner, Florian Eyben, Björn W. Schuller, Bert Arnrich:
Quantifying Cognitive Load from Voice using Transformer-Based Models and a Cross-Dataset Evaluation. 337-344 - Hao Xin, Michael Yu Zhu:
Score-based Image-to-Image Regression with Synchronized Diffusion. 345-352 - Yue Han, Yang Lei, Viktor Shkolnikov, Daisy Xin, Steven Barcelo, Jan P. Allebach, Edward J. Delp:
Label-Free Mammalian Cell Tracking Enhanced by Precomputed Velocity Fields. 353-360 - Tasin Islam, Alina Dana Miron, Xiaohui Liu, Yongmin Li:
SVTON: Simplified Virtual Try-On. 369-374 - Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila:
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction. 375-381 - Hidetomo Sakaino:
DeepReject and DeepRoad: Road Condition Recognition and Classification Under Adversarial Conditions. 382-389 - Johan Schubert, Ulrika Wickenberg Bolin:
Cluster Management of Scientific Literature in HSTOOL. 390-395 - Abdullah Alsaedi, Stuart Thomason, Floriana Grasso, Phillip Brooker:
Transfer Learning model for Social Emotion Prediction using Writers Emotions in Comments. 396-400 - Peter Belcak, David Hofer, Roger Wattenhofer:
A Neural Model for Regular Grammar Induction. 401-406 - Daniel Bruneß, Matthias Bay, Christian Schulze, Michael Guckert, Mirjam Minor:
An Ontology-based transfer learning method improving classification of medical documents. 407-412 - Kamalakkannan Ravi, Adan Ernesto Vela, Rickard Ewetz:
Classifying the Ideological Orientation of User-Submitted Texts in Social Media. 413-418 - Fatimah Alshamari, Abdou Youssef:
Math Chunking and Function Recognition using Deep Learning. 419-424 - Hanna E. Witzgall:
Extending Rapid Class Augmentation to a YOLOv3 Object Detection Architecture. 425-430 - Junya Saito, Sachihiro Youoku, Ryosuke Kawamura, Akiyoshi Uchida, Kentaro Murase, Xiaoyu Mi:
Uncertainty Prediction for Facial Action Units Recognition under Degraded Conditions. 431-436 - Phillip Czech, Markus Braun, Ulrich Kreßel, Bin Yang:
On-Board Pedestrian Trajectory Prediction Using Behavioral Features. 437-443 - Ashley Dowd, Navid Hashemi Tonekaboni:
Real-Time Facial Emotion Detection Through the Use of Machine Learning and On-Edge Computing. 444-448 - Luigy Machaca, F. Oliver Sumari H., Jose Huaman, Esteban Clua, Joris Guérin:
TrADe Re-ID - Live Person Re-Identification using Tracking and Anomaly Detection. 449-454 - Krish Kabra, Alexander Xiong, Wenbin Li, Minxuan Luo, William Lu, Tianjiao Yu, Jiahui Yu, Dhananjay Singh, Raul Garcia, Maojie Tang, Hank Arnold, Anna Vallery, Richard Gibbons, Arko Barman:
Deep object detection for waterbird monitoring using aerial imagery. 455-460 - Atharva Tendle, Andrew Little, Stephen D. Scott, Mohammad Rashedul Hasan:
Self-Supervised Learning in the Twilight of Noisy Real-World Datasets. 461-464 - Ali Ahmadinia, Jaabaal Shah:
An Edge-based Real-Time Object Detection. 465-470 - Ruchita Mehta, Vasile Palade, Sara Sharifzadeh, Bo Tan, Yordanka Karayaneva:
Continuous Human Activity Recognition using Radar Imagery and Dynamic Time Warping. 471-476 - Anas Gouda, Abraham Ghanem, Christopher Reining:
DoPose-6D dataset for object segmentation and 6D pose estimation. 477-483 - Aditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia:
Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising. 484-489 - Rogelio E. Garcia, Jacqueline Alvarez, Roummel F. Marcia:
Machine Learning for Classifying Images with Motion Blur. 490-494 - AmirHossein Zamani, Amir G. Aghdam, Kamran Ghaffari:
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision. 495-500 - Sara Sharifzadeh:
Spars Kernelized Features for Prediction of Rock's Carbon Capture using 3D X-Ray Images. 501-506 - Sandra Wilfling, Masoud Ebrahimi, Qamar Alfalouji, Gerald Schweiger, Mina Basirat:
Learning Non-linear White-box Predictors: A Use Case in Energy Systems. 507-512 - Adrin Issai Arasu, Manish Modani, Nagabhushana Rao Vadlamani:
Application of Machine Learning Techniques in Temperature Forecast. 513-518 - Abdul Basit Hafeez, Eduardo Alonso, Atif Riaz:
DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation. 519-524 - Kaylee Pham, David Ward, Saulo Rubio, David Shin, Lior Zlotikman, Sergio Ramirez, Tyler Poplawski, Xunfei Jiang:
California Wildfire Prediction using Machine Learning. 525-530 - Susana Lavado, Miguel Mateus, Leid Zejnilovic:
The Performance-Actionability Trade-Off in Retention Prediction at Middle School. 531-536 - Nan Ding, Hélène Urien, Florence Rossant, Jérémie Sublime, Michel Pâques:
Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation. 537-542 - Wiem Safta, Hichem Frigui:
Lung Nodules Identification in CT Scans Using Multiple Instance Learning. 543-548 - Pooja Prajod, Elisabeth André:
On the Generalizability of ECG-based Stress Detection Models. 549-554 - Jennifer Schwabe, Chelsea Hua, Emma M. Allen, Leonard A. Jason, Jacob Furst, Daniela Raicu:
Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations. 555-559 - Haozheng Luo, Tianyi Wu, Colin Feiyu Han, Zhijun Yan:
IGN : Implicit Generative Networks. 560-566 - Sara Karimi, Sahar Asadi, Francesco Lorenzo, Amir Hossein Payberah:
CandyRL: A Hybrid Reinforcement Learning Model for Gameplay. 567-572 - Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Marco Fantozzi, Alessandro Marchetti:
Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning? 573-578 - Yuki Miyashita, Toshiharu Sugawara:
Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning. 579-584 - Andrew Tittaferrante, Abdulsalam Yassine:
Hyperparameter Tuning in Offline Reinforcement Learning. 585-590 - Samuel Blad, Martin Längkvist, Franziska Klügl, Amy Loutfi:
Empirical analysis of the convergence of Double DQN in relation to reward sparsity. 591-596 - Michael Eichelbeck, Hannah Markgraf, Matthias Althoff:
Contingency-constrained economic dispatch with safe reinforcement learning. 597-602 - Gabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles:
The impact of low-cost molecular geometry optimization in property prediction via graph neural network. 603-608 - Alexander Hartl, Joachim Fabini, Tanja Zseby:
Separating Flows in Encrypted Tunnel Traffic. 609-616 - Jason Van Tuinen, Aditya Ranganath, Goran Konjevod, Mukesh Singhal, Roummel F. Marcia:
Novel Adversarial Defense Techniques for White-Box Attacks. 617-622 - Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada:
IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge. 623-628 - Nada Abdalla, Damien Forthomme:
Probabilistic Approach for Recommendation Systems. 629-634 - Dirar Sweidan, Ulf Johansson, Anders Gidenstam, Beatrice Alenljung:
Predicting Customer Churn in Retailing. 635-640 - Fadil Santosa, Loren Anderson:
Bayesian Sequential Optimal Experimental Design for Linear Regression with Reinforcement Learning. 641-646 - Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov:
One-Shot Federated Group Collaborative Filtering. 647-652 - Xiaoyu Dong, Shen Shen, Jinkang Jia, Lianzhao Yu, Yifan Wang, Po Zhang:
Behavior Sequence Transformer Applied on SERP Evaluation and Model Interpretation. 653-658 - Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun:
Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. 659-664 - Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci:
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. 665-670 - Lena Sasal, Tanujit Chakraborty, Abdenour Hadid:
W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. 671-676 - Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Cagri Ozdemir:
Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA. 677-680 - Chenwei Sun, Martin Trat, Janek Bender, Jivka Ovtcharova, George Jeppesen, Jan Bär:
Unsupervised Anomaly Detection and Root Cause Analysis for an Industrial Press Machine based on Skip-Connected Autoencoder. 681-686 - Tao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu:
Individualized Conditioning and Negative Distances for Speaker Separation. 687-692 - Noel Elias:
Audio Classification of Low Feature Spectrograms Utilizing Convolutional Neural Networks. 693-698 - Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks. 699-702 - Kendrick Trinh, Melody Moh, Teng-Sheng Moh:
Adversarial Attacks on Speech Separation Systems. 703-708 - Caroline Svahn, Oleg Sysoev:
CCVAE: A Variational Autoencoder for Handling Censored Covariates. 709-714 - Steven E. Arroyo, Shen-Shyang Ho:
Autoencoder Ensemble Method for Botnets Detection on IOT Devices. 715-720 - Adnan Ben Mansour, Gaia Carenini, Alexandre Duplessis, David Naccache:
Federated Learning Aggregation: New Robust Algorithms with Guarantees. 721-726 - Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu:
Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients. 727-732 - Daniel Lauss, Florian Eibensteiner, Phillip Petz:
A Deep Learning based Hand Gesture Recognition on a Low-power Microcontroller using IMU Sensors. 733-736 - Felippe Schmoeller Roza, Hassan Rasheed, Karsten Roscher, Xiangyu Ning, Stephan Günnemann:
Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning. 737-742 - Yousef AlShehri, Lakshmish Ramaswamy:
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems. 743-747 - Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr:
Deep Learning and Pattern-based Methodology for Multivariable Sensor Data Regression. 748-753 - Hao Niu, Huy Quang Ung, Shinya Wada:
Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors. 754-759 - Sheuli Paul, Michael Sintek, Veton Këpuska, Marius Silaghi, Liam Robertson:
Intent based Multimodal Speech and Gesture Fusion for Human-Robot Communication in Assembly Situation. 760-763 - Mansour Alqarni, Akramul Azim, Tegveer Singh:
EVDD - A Novel Dataset For Embedded System Vulnerability Detection Mechanism. 764-769 - Chun Yuan, Youxuan Zhong, Jiake Tian, Yi Zou:
A Real-time Digit Gesture Recognition System Based on mmWave Radar. 770-775 - Krishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
Real-Time Change Detection At the Edge. 776-781 - Meinolf Sellmann, Tapan Shah:
Cost-sensitive Hierarchical Clustering for Dynamic Classifier Selection. 782-787 - Shirin Tahmasebi, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin:
TranSQL: A Transformer-based Model for Classifying SQL Queries. 788-793 - Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Trade-off between reconstruction loss and feature alignment for domain generalization. 794-801 - Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu:
From Causal Pairs to Causal Graphs. 802-807 - Xiao Yue, Guangzhi Qu, Bo Liu, Feng Zhang:
Edge utilization in graph convolutional networks for graph classification. 808-813 - Chinmay Kulkarni, Mohith Rajesh, Shylaja S. Sharath:
Dynamic Binary Cross Entropy: An effective and quick method for model convergence. 814-818 - Dana Oshri Zalman, Shai Fine:
Variational Inference via Rényi Upper-Lower Bound Optimization. 819-824 - Azar Alizadeh, Mukesh Singhal, Vahid Behzadan, Pooya Tavallali, Aditya Ranganath:
Stochastic Induction of Decision Trees with Application to Learning Haar Trees. 825-830 - Azar Alizadeh, Pooya Tavallali, Vahid Behzadan, Aditya Ranganath, Mukesh Singhal:
A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks. 831-836 - Ali Nezhadi, Shaahin Angizi, Arman Roohi:
semiMul: Floating-Point Free Implementations for Efficient and Accurate Neural Network Training. 837-842 - Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code. 843-848 - Nafiz Sadman, Akib Sadmanee, Kishor Datta Gupta, Roy George:
HeteroGenius: An Improvised 'Intelligence' in Heterogeneous Graph Transformers. 849-854 - Ola Mustafa Alqahtani, Lakshmish Macheeri Ramaswamy:
A Layer Decomposition Approach to Inference Time Prediction of Deep Learning Architectures. 855-859 - Francois Buet-Golfouse, Parth Pahwa:
Multi-Learning Generalised Low-Rank Models. 860-865 - Carlos Ramos-Carreño, José Luis Torrecilla, Alberto Suárez:
Classification of Functional Data: A Comparative Study. 866-871 - Carine A. Dantas, Anne M. P. Canuto, João C. Xavier Junior, Rômulo de Oliveira Nunes:
An exploratory analysis of a dynamic ensemble structure using an automatic decision process. 872-875 - Muhammad Fawad Akbar Khan, Hamid Karimi:
A New Framework to Assess the Individual Fairness of Probabilistic Classifiers. 876-881 - Himanshu S. Sahoo, Nicholas Ingraham, Greg M. Silverman, John Sartori:
Towards Fairness and Interpretability: Clinical Decision Support for Acute Coronary Syndrome. 882-886 - Andrew Ponomarev, Anton Agafonov:
Ontology-Based Post-Hoc Explanations via Simultaneous Concept Extraction. 887-890 - Yan-Bin Chen, Khong-Loon Tiong, Chen-Hsiang Yeang:
Clustering image data with a fixed embedding. 891-896 - Leila Ben Letaifa, Jean-Luc Rouas:
Fine-grained analysis of the transformer model for efficient pruning. 897-902 - David Biesner, Thore Gerlach, Christian Bauckhage, Bernd Kliem, Rafet Sifa:
Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis. 903-908 - Muluken Regas Eressa, Hakim Badis, Dorian Grosso:
Distribution Based Upper Lower Bound Estimation In Deep Neural Nets. 909-913 - Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu:
Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning. 914-919 - Claire Thorp, Sean Sisti, Walter D. Bennette:
Feature Extraction for Out of Distribution Detection via Self-Supervised Learning. 920-924 - Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila:
Recurrent Neural Network-Based Video Compression. 925-930 - Muhammad Arsalan, Tao Zheng, Avik Santra, Vadim Issakov:
Contactless Low Power Air-Writing Based on FMCW Radar Networks Using Spiking Neural Networks. 931-935 - Abdulrahman Ahmed Gharawi, Jumana Alsubhi, Lakshmish Ramaswamy:
Impact of Labeling Noise on Machine Learning: A Cost-aware Empirical Study. 936-939 - Bertram Sabrowsky-Hirsch, Bernhard Schenkenfelder, Christoph Klug, Gernot Reishofer, Josef Scharinger:
Deformable Registration of Low-overlapping Medical Images. 940-945 - David Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa:
Improving Chest X-Ray Classification by RNN-based Patient Monitoring. 946-950 - Bassam A. Abdelghani, Sophia Fadal, Shadi Bedoor, Shadi Banitaan:
Prediction of Heart Attacks using Data Mining Techniques. 951-956 - Marija Stanojevic, Lesley A. Norris, Philip C. Kendall, Zoran Obradovic:
Predicting anxiety treatment outcomes with machine learning. 957-962 - Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu:
Comparative Study on 1.5T - 3T MRI Conversion through Deep Neural Network Models. 963-968 - D. J. McMoran, Alejandra Maria O'Malley, Aysun Karamustafaoglu, Daniel M. Fisher, Gülüstan Dogan:
Using Artificial Intelligence to Predict Patient Electronic Health Record Access Points. 969-973 - Xueying Liu, Shiaofen Fang, George O. Mohler, Joan Carlson, Yunyu Xiao:
Time-to-event modeling of subreddits transitions to r/SuicideWatch. 974-979 - Jerry Bonnell, Melanie Xia, Lee Wall, York Eggleston, Mitsunori Ogihara, Vanessa Aguiar-Pulido:
Machine Learning in Personalized Skin Care: A Simulation Scheme for Pattern Recognition in Skin Condition Genome-wide Association Studies. 980-985 - Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif:
Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets. 986-991 - Robert Morain, Kenneth Vargas, Dan Ventura:
Symbolic Semantic Memory in Transformer Language Models. 992-998 - Florian Meißl, Florian Eibensteiner, Phillip Petz, Josef Langer:
Online Handwriting Recognition using LSTM on Microcontroller and IMU Sensors. 999-1004 - Madhuvanti Muralikrishnan, Amr Hilal, Chreston Miller, Dina Smith-Glaviana:
Using Natural Language Processing to Predict Costume Core Vocabulary of Historical Artifacts. 1005-1011 - Majid Shirazi, Georgij Safronov, Amr Rizk:
Rethinking of Domain Users Control in Computer Vision Pipelines by Customized Attention. 1018-1025 - Alexander Naumann, Felix Hertlein, Benchun Zhou, Laura Dörr, Kai Furmans:
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics. 1026-1031 - Aritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty:
Deep Neural Network Piration without Accuracy Loss. 1032-1038 - Ashita Diwan, Miles Q. Li, Benjamin C. M. Fung:
VDGraph2Vec: Vulnerability Detection in Assembly Code using Message Passing Neural Networks. 1039-1046 - Prerit Datta, Akbar Siami Namin, Keith S. Jones:
Can We Predict Consequences of Cyber Attacks? 1047-1054 - Emily J. Herron, Steven R. Young, Derek C. Rose:
ICDARTS: Improving the Stability of Cyclic DARTS. 1055-1062 - Bahman Afsari, Alexander V. Favorov, Elana J. Fertig, Leslie Cope:
Regression Expression Variation Analysis (REVA): a rank-based multi-dimensional measure of correlation. 1063-1070 - Ricardo Cerri, Elaine R. Faria, João Gama:
An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps. 1071-1076 - Hideyuki Masui, Diego Romeres, Daniel Nikovski:
Transfer Learning for Bayesian Optimization with Principal Component Analysis. 1077-1084 - Hamid Karimi, Tyler Derr:
Decision Boundaries of Deep Neural Networks. 1085-1092 - Michael Panchenko, Anes Benmerzoug, Miguel de Benito Delgado:
Class-wise and reduced calibration methods. 1093-1100 - Marco Faella, Luigi Sauro:
Universal Thompson Sampling. 1109-1114 - Pretom Roy Ovi, Aryya Gangopadhyay, Robert F. Erbacher, Carl E. Busart:
Secure Federated Training: Detecting Compromised Nodes and Identifying the Type of Attacks. 1115-1120 - Tijana Markovic, Vladan Devedzic, Fang Zhou, Zoran Obradovic:
Software package for regression algorithms based on Gaussian Conditional Random Fields. 1121-1128 - Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman:
Active Learning with Combinatorial Coverage. 1129-1136 - Cheng Ge, Xi Chen, Ming Wang, Jin Wang:
Deep Baseline Network for Time Series Modeling and Anomaly Detection. 1137-1142 - Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen:
SimCURL: Simple Contrastive User Representation Learning from Command Sequences. 1143-1150 - Manal Almaeen, Yasir Alanazi, Nobuo Sato, W. Melnitchouk, Yaohang Li:
Point Cloud-based Variational Autoencoder Inverse Mappers (PC-VAIM) - An Application on Quantum Chromodynamics Global Analysis. 1151-1158 - Scott Wahl, John Sheppard:
Approximate Orthogonal Spectral Autoencoders for Community Analysis in Social Networks. 1159-1166 - Pu Yang, Arinbjörn Kolbeinsson, Naman Shukla, Javier A. Barria:
Deep Contrastive Anomaly Detection for Airline Ancillaries Prediction. 1167-1174 - Simeon Brüggenjürgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber:
Mixture of Decision Trees for Interpretable Machine Learning. 1175-1182 - Mehmet Akif Gulum, Christopher M. Trombley, Merve Ozen, Mehmed M. Kantardzic:
Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use? 1183-1189 - Boaz Ilan, Aditya Ranganath, Jacqueline Alvarez, Shilpa Khatri, Roummel F. Marcia:
Interpretability of ReLU for Inversion. 1190-1195 - Tue Herlau:
Active learning of causal probability trees. 1196-1202 - Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid:
Knowledge-based Deep Learning for Modeling Chaotic Systems. 1203-1209 - Tong Chen, Jiho Noh, Luke Cranfill, John Morris, Junggab Son:
Improving Fashion Attribute Classification Accuracy with Limited Labeled Data Using Transfer Learning. 1210-1217 - Tiago Rodrigues de Almeida, Eduardo Gutiérrez-Maestro, Óscar Martínez Mozos:
Context-free Self-Conditioned GAN for Trajectory Forecasting. 1218-1223 - Andrew Ponomarev:
Using Contextual Bandits for Maintaining Driver's Alertness via Personalized Interventions. 1224-1229 - Daniel Klosa, Christof Büskens:
Evolutionary Neural Architecture Search for Traffic Forecasting. 1230-1237 - Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Fast Counterfactual Explanation for Solar Flare Prediction. 1238-1243 - Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series. 1244-1249 - Lars Væhrens, Daniel Díez Álvarez, Ulrich Berger, Simon Bøgh:
Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning. 1250-1257 - Yassine El Manyari, Patrick Le Callet, Laurent Dollé:
Imitation from Observation using RL and Graph-based Representation of Demonstrations. 1258-1265 - Sang-Hun Sim, Tara Paranjpe, Nicole Roberts, Ming Zhao:
Exploring Edge Machine Learning-based Stress Prediction using Wearable Devices. 1266-1273 - Lin Zhou, Eric Fischer, Clemens Markus Brahms, Urs Granacher, Bert Arnrich:
Using Transparent Neural Networks and Wearable Inertial Sensors to Generate Physiologically-Relevant Insights for Gait. 1274-1280 - Anand Dubey, Niall Lyons, Avik Santra, Ashutosh Pandey:
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values. 1281-1288 - Johannes Rust, Serge Autexier:
Causal Inference for Personalized Treatment Effect Estimation for given Machine Learning Models. 1289-1295 - Teja Kanchinadam, Shaheen Gauher:
Predicting Clinical Events via Graph Neural Networks. 1296-1303 - Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan:
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. 1304-1311 - Evan Kurpiewski, Gülüstan Dogan:
Pose Estimation for Future Prediction of Falling. 1312-1317 - Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha:
Zero Day Threat Detection Using Metric Learning Autoencoders. 1318-1325 - Adam Lehavi, Seongtae Kim:
Feature Reduction Method Comparison Towards Explainability and Efficiency in Cybersecurity Intrusion Detection Systems. 1326-1333 - Brian Lewandowski, Randy C. Paffenroth:
Autoencoder Feature Residuals for Network Intrusion Detection: Unsupervised Pre-training for Improved Performance. 1334-1341 - Aritran Piplai, Mike Anoruo, Kayode Fasaye, Anupam Joshi, Tim Finin, Ahmad Ridley:
Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses. 1342-1349 - Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen:
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. 1350-1357 - David Pérez-Loureiro, Jude Alexander:
Radioisotope Identification Using CLYC Detectors. 1358-1364 - Federica Bragone, Khaoula Oueslati, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska:
Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers. 1365-1372 - Dennis Bogatov Wilkman, Lifei Tang, Kateryna Morozovska, Federica Bragone:
Self-Supervised Transformer Networks for Error Classification of Tightening Traces. 1373-1380 - Abedalrhman Alkhateeb, Bashier ElKarami, Hazem Qattous, Abdullah Al-Refai, Noor AlAfeshat, Behnam Shahrrava, Mohammad Azzeh:
Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network. 1381-1385 - Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner:
Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation. 1386-1391 - Bo Tang, Weiwei Xie, Qingmin Meng, Robert J. Moorhead, Gary Feng:
Soil Moisture Estimation Using Hyperspectral Imagery Based on Metric Learning. 1392-1396 - Chenyuan Xu, Kosuke Haruki, Taiji Suzuki, Masahiro Ozawa, Kazuki Uematsu, Ryuji Sakai:
Data-Parallel Momentum Diagonal Empirical Fisher (DP-MDEF):Adaptive Gradient Method is Affected by Hessian Approximation and Multi-Class Data. 1397-1404 - Kei-Sing Ng, Qingchen Wang:
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher. 1405-1411 - Mori Kurokawa, Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Hideki Asoh, Chihiro Ono, Masafumi Hagiwara:
Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion. 1412-1418 - John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson:
Informative Evaluation Metrics for Highly Imbalanced Big Data Classification. 1419-1426 - Justin M. Johnson, Taghi M. Khoshgoftaar:
Cost-Sensitive Ensemble Learning for Highly Imbalanced Classification. 1427-1434 - Gautham Krishna Gudur, Raaghul R, Adithya K, Shrihari Vasudevan:
Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection. 1443-1448 - Yusuf Arslan, Kevin Allix, Clément Lefebvre, Andrey Boytsov, Tegawendé F. Bissyandé, Jacques Klein:
Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets. 1449-1454 - Valeriu Balaban, Hoda Bidkhori, Paul Bogdan:
Improving Robustness: When and How to Minimize or Maximize the Loss Variance. 1455-1462 - Neelanjan Bhowmik, Toby P. Breckon:
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. 1463-1467 - Mina Ameli, Philipp Aaron Becker, Katharina Lankers, Markus van Ackeren, Holger Bähring, Wolfgang Maaß:
Explainable Unsupervised Multi-Sensor Industrial Anomaly Detection and Categorization. 1468-1475 - Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille:
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. 1476-1483 - Hidetomo Sakaino, Atsushi Higuchi:
Sat2rain: Multiple Satellite Images to Rainfall Amounts Conversion By Improved GAN. 1484-1491 - Moamar Sayed Mouchaweh, Lala H. Rajaoarisoa:
Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0. 1492-1497 - K. M. Kavitha, A Nishmitha, Gowda Karthik Balgopal, Kausalya K. Naik, Mranali Gourish Gaonkar:
Aspect-based Sentiment Analysis of English and Hindi Opinionated Social Media Texts. 1498-1503 - Mohammed Terry-Jack, Nikolai Rozanov:
Connecting the Semantic Dots: Zero-shot Learning with Self-Aligning Autoencoders and a New Contrastive-Loss for Negative Sampling. 1504-1511 - Salim Sazzed:
Understanding Linguistic Variations in Neutral and Strongly Opinionated Reviews. 1512-1516 - Shaun Anthony Little, Kaushik Roy, Ahmed Al Hamoud:
Performance Benchmark of Machine Learning-Based Methodology for Swahili News Article Categorization. 1517-1521 - Mine Ögretir, Siddharth Ramchandran, Dimitrios Papatheodorou, Harri Lähdesmäki:
A Variational Autoencoder for Heterogeneous Temporal and Longitudinal Data. 1522-1529 - Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick:
Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting. 1530-1536 - Michael Scott Brown, Bhavana Rajashekar, Nastaran Davudi Pahnehkolaee:
Increasing Accuracy in Predicting Student Test Scores with Neural Networks using Domain Reduction Technique of Principal Component Analysis. 1537-1542 - Simon Klüttermann, Jérôme Rutinowski, Christopher Reining, Moritz Roidl, Emmanuel Müller:
Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks. 1543-1550 - Tak-Shing T. Chan, Alex J. Gibberd:
Identifying Metering Hierarchies with Distance Correlation and Dominance Constraints. 1551-1558 - Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke:
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks. 1559-1566 - Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic:
Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System. 1567-1572 - Eric W. Vertina, N. Aaron Deskins, Emily Sutherland, Oren Mangoubi:
Predicting MXene Properties via Machine Learning. 1573-1578 - Oliver Welin Odeback, Federica Bragone, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska:
Physics-Informed Neural Networks for prediction of transformer's temperature distribution. 1579-1586 - Amit S. Chhetri, Philip Hilmes, Mrudula Athi, Nikhil Shankar:
On the Robustness of Deep Learning-Based Speech Enhancement. 1587-1594 - Hermann Y. Nkouanga, Suresh Singh:
Dealing with Distribution Shift in Acoustic Mosquito Datasets. 1595-1600 - Yash Prabhu, Naeem Seliya:
A CNN-Based Automated Stuttering Identification System. 1601-1605 - Ebuka Okpala, Long Cheng, Nicodemus Msafiri John Mbwambo, Feng Luo:
AAEBERT: Debiasing BERT-based Hate Speech Detection Models via Adversarial Learning. 1606-1612 - Khensa Daoudi, Maroua Yamami, Salem Benferhat, Lila Méziani:
Managing imprecise map and image data in a possibility theory framework. 1613-1618 - Werickson F. C. Rocha, Antônio U. Lucena, Gabriel F. Sarmanho, Rodrigo C. Félix, Sandro A Miqueleti, Tiago C. Dourado:
Machine learning protocol from ultrasound data for monitoring, predicting, and supporting the analysis of dam slopes. 1619-1623 - Timo Maiwald, Erich Leder, Ralf Pijahn, Reinhard Buchhold, Georg Fischer:
Nuclide Identification using CsI(Tl) Gamma Ray Spectra and Neural Networks. 1624-1628 - Mohan Kashyap Pargi, Elham Bagheri, Ricardo Shirota F, Khoo Eng Huat, Farshad Shishehchian, Nathalie Nathalie:
Improving Aquaculture Systems using AI: Employing predictive models for Biomass Estimation on Sonar Images. 1629-1636 - David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Rafet Sifa:
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. 1637-1642 - Caitlin Richardson, Sandeep Shah, Xiaohong Yuan:
Semi-Supervised Machine Learning for Analyzing COVID-19 Related Twitter Data for Asian Hate Speech. 1643-1648 - Maren Pielka, Felix Rode, Lisa Pucknat, Tobias Deußer, Rafet Sifa:
A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives. 1649-1653 - Tobias Deußer, Syed Musharraf Ali, Lars Patrick Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa:
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. 1654-1659 - Sheuli Paul, Michael Sintek, Marius Silaghi, Veton Këpuska, Liam Robertson:
A Novel Multimodal Situated Spoken Dialog System for Human Robot Communication in Emergency Evacuation. 1660-1665 - Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic:
On Label Quality in Class Imbalance Setting -A Case Study. 1666-1671 - Christoph Düsing, Philipp Cimiano:
On the Trade-off Between Benefit and Contribution for Clients in Federated Learning in Healthcare. 1672-1678 - Adiba Haque, Anika Nahian Binte Kabir, Maisha Islam, Mayesha Monjur, Md. Khalilur Rhaman, Moin Mostakim:
Determining Association between Fatal Heart Failure and Chronic Kidney Disease: A Machine Learning Approach. 1679-1686 - Mashrura Tasnim, Jekaterina Novikova:
Cost-effective Models for Detecting Depression from Speech. 1687-1694 - Seth Ockerman, Erin Carrier:
Predicting COVID-19 Case Counts using Twitter Image Data. 1695-1701 - Mario Cesarelli, Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone, Michele Tavone:
COVID-19 Detection from Cough Recording by means of Explainable Deep Learning. 1702-1707 - Håkon Stenwig, Andrés Felipe Soler, Junya Furuki, Yoko Suzuki, Takashi Abe, Marta Molinas:
Automatic Sleep Stage Classification with Optimized Selection of EEG Channels. 1708-1715 - Abigail Atchison, Gabriela Pinto, Ali Woodward, Elizabeth Stevens, Dennis Dixon, Erik Linstead:
An Application of Document Embeddings to Identifying Challenging Behaviors in Autism Spectrum Disorder From Clinical Notes. 1716-1723 - Igor Matias, Katarzyna Wac:
Dejà vu: Recurrent Neural Networks for health wearables data forecast. 1724-1731 - Jessica An:
Using CatBoost and Other Supervised Machine Learning Algorithms to Predict Alzheimer's Disease. 1732-1739 - Erum Mushtaq, Jie Ding, Salman Avestimehr:
What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened. 1740-1747 - Mingzuoyang Chen, Shadi Banitaan, Mina Maleki, Yichun Li:
GDSCAN: Pedestrian Group Detection using Dynamic Epsilon. 1748-1753 - Bassam A. Abdelghani, Mina Maleki, Shadi Banitaan, Amna Mazen:
Occupancy Detection based on WI-FI SysLog Data. 1754-1760 - Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan:
On Selection of Optimal Kernel Function for Software Defect Prediction. 1761-1768 - Marco Dossena, Christopher Irwin, Luigi Portinale:
Graph-based Recommendation using Graph Neural Networks. 1769-1774 - Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Avik Santra, Robert Wille:
Utilizing Explainable AI for improving the Performance of Neural Networks. 1775-1782 - Sarwat Ali, M. Arif Wani:
Recent Trends in Neural Architecture Search Systems. 1783-1790 - Giovanni Ciaramella, Stefano Fagnano, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning. 1791-1798 - Mashael Al-Luhaybi, Stephen Swift, Steve Counsell, Allan Tucker:
Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach. 1799-1806 - Samira Khorshidi, Bao Wang, George O. Mohler:
Adversarial Attacks on Deep Temporal Point Process. 1-8 - Timothy Flavin, Thomas Steiner, John Reaves, Julian Abhari, Zoe Delap, Bhaskar Mitra, Vidhyashree Nagaraju:
ML Democracy: An Enhanced Voting Algorithm for Model Selection for Efficient EEG Data Assessment. 1815-1820
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