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ORCIDIEEE Transactions on Artificial Intelligence, Volume 5
Volume 5, Number 1, January 2024
- Shaily Kabir
, Christian Wagner, Zack Ellerby:
Toward Handling Uncertainty-At-Source in AI - A Review and Next Steps for Interval Regression. 3-22 - Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li:
A Systematic Review of Echo State Networks From Design to Application. 23-37 - Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib, Armin Pacharmi, Enrique Corona:
Gaussian Switch Sampling: A Second-Order Approach to Active Learning. 38-50 - Branko Ristic, Alessio Benavoli, Sanjeev Arulampalam:
Credal Valuation Networks for Machine Reasoning Under Uncertainty. 51-60 - Xuesong Wang, Diyuan Hou, Longyang Huang, Yuhu Cheng:
Offline-Online Actor-Critic. 61-69 - Chunjie Wang, Dawei Dai, Shuyin Xia, Yingge Liu, Guoyin Wang:
One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning. 70-79 - Eirini Troullinou, Grigorios Tsagkatakis, Attila Losonczy, Panayiota Poirazi, Panagiotis Tsakalides:
A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification. 80-91 - Botao Jiao, Yinan Guo, Cuie Yang, Jiayang Pu, Zhiji Zheng, Dunwei Gong:
Incremental Weighted Ensemble for Data Streams With Concept Drift. 92-103 - Zhijie Lin, Zhaoshui He, Ruoyu Yao, Xu Wang, Taiheng Liu, Yamei Deng, Shengli Xie:
Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images. 104-114 - Rahul Mondal, Tandra Pal, Prasenjit Dey:
A Hybrid Regularized Multilayer Perceptron for Input Noise Immunity. 115-126 - Xian Tao, Shaohua Yan, Xinyi Gong, Chandranath Adak:
Learning Multiresolution Features for Unsupervised Anomaly Localization on Industrial Textured Surfaces. 127-139 - Li Yuan, Jin Wang, Liang-Chih Yu, Xuejie Zhang:
Syntactic Graph Attention Network for Aspect-Level Sentiment Analysis. 140-153 - Si-chao Lei, Xiaolin Xiao, Yue-Jiao Gong, Yun Li, Jun Zhang:
Tensorial Evolutionary Computation for Spatial Optimization Problems. 154-166 - Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis:
Continual Unsupervised Domain Adaptation in Data-Constrained Environments. 167-178 - Nancy Mehta, Subrahmanyam Murala:
Image Super-Resolution With Content-Aware Feature Processing. 179-191 - Chen Li, Antonios Tsourdos, Weisi Guo:
A Transistor Operations Model for Deep Learning Energy Consumption Scaling Law. 192-204 - Yu Guo, Yuxu Lu, Ryan Wen Liu, Fenghua Zhu:
Blind Image Despeckling Using a Multiscale Attention-Guided Neural Network. 205-216 - Xiaochen Tang, Pedro Reviriego, Wei Tang, David G. M. Mitchell, Fabrizio Lombardi, Shanshan Liu:
Joint Learning and Channel Coding for Error-Tolerant IoT Systems Based on Machine Learning. 217-228 - Weihua Xu, Ziting Yuan, Zheng Liu:
Feature Selection for Unbalanced Distribution Hybrid Data Based on ${k}$-Nearest Neighborhood Rough Set. 229-243 - Xiangkun He, Chen Lv:
Robotic Control in Adversarial and Sparse Reward Environments: A Robust Goal-Conditioned Reinforcement Learning Approach. 244-253 - Jiecheng Cao, Chongben Tao, Zufeng Zhang, Zhen Gao, Xizhao Luo, Sifa Zheng, Yuan Zhu:
Accelerating Point-Voxel Representation of 3-D Object Detection for Automatic Driving. 254-266 - Peihua Mai, Yan Pang:
Privacy-Preserving Multiview Matrix Factorization for Recommender Systems. 267-277 - Wenyu Zhao, Dong Zhou, Buqing Cao, Kai Zhang, Jinjun Chen:
Adversarial Modality Alignment Network for Cross-Modal Molecule Retrieval. 278-289 - Inder Preet, Oisín Boydell, Deepu John:
Class-Separation Preserving Pruning for Deep Neural Networks. 290-299 - Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mukund Lahoti, Pratik Narang:
A Universal Metric for Robust Evaluation of Synthetic Tabular Data. 300-309 - Md Anisur Rahman, Li-Minn Ang, Kah Phooi Seng:
An Automated Identification Approach for Partial Discharge Detection Using Density-Based Clustering Without User Inputs. 310-320 - Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network. 321-333 - Yalin Wang, Qingkai Sui, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Guangfeng Dong:
Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network. 334-345 - Omar Shindi, Qi Yu, Parth Girdhar, Daoyi Dong:
Model-Free Quantum Gate Design and Calibration Using Deep Reinforcement Learning. 346-357 - Zhiqiang Li, Yang Liu, Hui Ma, Hongyi Li:
Learning-Observer-Based Adaptive Tracking Control of Multiagent Systems Using Compensation Mechanism. 358-369 - Qi Feng, Debiao He, Jian Shen, Min Luo, Kim-Kwang Raymond Choo:
PpNNT: Multiparty Privacy-Preserving Neural Network Training System. 370-383 - Xiaochang Hu, Xin Xu, Yujun Zeng, Xihong Yang:
Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning. 384-397 - Honggui Han, Xiaoye Fan, Fangyu Li:
Prototype Enhancement-Based Incremental Evolution Learning for Urban Garbage Classification. 398-411 - Huipeng Zhou, Yajie Wang, Yu-an Tan, Shangbo Wu, Yuhang Zhao, Quanxin Zhang, Yuanzhang Li:
Crafting Transferable Adversarial Examples Against Face Recognition via Gradient Eroding. 412-419 - Steven Jorgensen, John T. Holodnak, Jensen Dempsey, Karla de Souza, Ananditha Raghunath, Vernon Rivet, Noah Demoes, Andrés Alejos, Allan B. Wollaber:
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification. 420-433 - Andres Erazo, Seok-Bum Ko:
A Long Short-Term Memory-Based Interconnected Architecture for Classification of Grasp Types Using Surface-Electromyography Signals. 434-445 - Amirhossein Hajavi, Ali Etemad:
Audio Representation Learning by Distilling Video as Privileged Information. 446-456
Volume 5, Number 2, February 2024
- Wenhao Hu, Yingying Liu, Xuanyu Chen, Wenhao Chai, Hangyue Chen, Hongwei Wang, Gaoang Wang:
Deep Learning Methods for Small Molecule Drug Discovery: A Survey. 459-479 - Ali A. Alnoman:
How Artificial Intelligence Helped the Humanity During the COVID-19 Pandemic: A Review. 480-489 - Shreyas J. Upasane, Hani Hagras, Mohammad Hossein Anisi, Stuart Savill, Ian Taylor, Kostas Manousakis:
A Type-2 Fuzzy-Based Explainable AI System for Predictive Maintenance Within the Water Pumping Industry. 490-504 - Naiqi Li, Zhikang Xia, Yiming Li, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia:
Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood. 505-515 - Qirui Hua, Martin H. Nielsen, Zeliang An, Jian Ren, Rafal Wisniewski, SØren Vedding Kold, Ole Rahbek, Ming Shen:
Lab to Multiscene Generalization for Non-Line-of-Sight Identification With Small-Scale Datasets. 516-529 - Liang Huang, Senjie Liang, Feiyang Ye, Nan Gao:
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices. 530-540 - C. Nandhini, M. Brindha:
Hierarchical Patch Selection: An Improved Patch Sampling for No Reference Image Quality Assessment. 541-555 - Rajath C. Aralikatti, S. J. Pawan, Jeny Rajan:
A Dual-Stage Semi-Supervised Pre-Training Approach for Medical Image Segmentation. 556-565 - Sachini Piyoni Ekanayake, Daphney-Stavroula Zois:
Datum-Wise Inference in Structured Environments. 566-577 - Honggui Han, Meiting Sun, Fangyu Li:
Online Aware Synapse Weighted Autoencoder for Recovering Random Missing Data in Wastewater Treatment Process. 578-589 - Junmin Liu, Yicheng Wang, Jing Ma, Di Han, Yifan Huang:
Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data Representation. 590-601 - Elijah D. Bolluyt, Cristina Comaniciu:
Pseudoinvertible Neural Networks. 602-612 - Wei-Jong Yang, Wan-Nung Tsung, Pau-Choo Chung:
Video-Based Depth Estimation Autoencoder With Weighted Temporal Feature and Spatial Edge Guided Modules. 613-623 - Shiwen Ni, Hung-Yu Kao:
Masked Siamese Prompt Tuning for Few-Shot Natural Language Understanding. 624-633 - Joshua D. Ellis, Razib Iqbal, Keiichi Yoshimatsu:
Deep Q-Learning-Based Molecular Graph Generation for Chemical Structure Prediction From Infrared Spectra. 634-646 - Jiao Tian, Pei-Wei Tsai, Kai Zhang, Xinyi Cai, Hongwang Xiao, Ke Yu, Wenyu Zhao, Jinjun Chen:
Synergetic Focal Loss for Imbalanced Classification in Federated XGBoost. 647-660 - Lingquan Zeng, Zhiqiang Ge:
Pyramid Dynamic Bayesian Networks for Key Performance Indicator Prediction in Long Time-Delay Industrial Processes. 661-671 - Priyesh Ranjan, Pritam Khan, Sudhir Kumar, Sajal K. Das:
$\log$-Sigmoid Activation-Based Long Short-Term Memory for Time-Series Data Classification. 672-683 - Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
Query Attack by Multi-Identity Surrogates. 684-697 - H. Pallab Jyoti Dutta, Manas Kamal Bhuyan, Debanga Raj Neog, Karl F. MacDorman, Rabul Hussain Laskar:
A Hand Gesture-Operated System for Rehabilitation Using an End-to-End Detection Framework. 698-708 - Yingchao Huang, Abdul Bais, Amina E. Hussein:
Pseudo-shot Learning for Soil Classification With Laser-Induced Breakdown Spectroscopy. 709-723 - Jiusheng Chen, Chengyuan Fang, Xiaoyu Zhang, Jun Wu, Runxia Guo:
A Radial Basis Function-Based Graph Attention Network With Squeeze Loss Optimization for Link Prediction. 724-736 - Chuanyan Zhou, Jie Ma, Fan Li, Yongming Li, Pin Wang:
Neighboring Envelope Embedded Stacked Autoencoder for Deep Learning on Hierarchically Structured Samples. 737-750 - Yongxin Kang, Enmin Zhao, Yifan Zang, Lijuan Li, Kai Li, Pin Tao, Junliang Xing:
Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction. 751-762 - Wenting Qi, Charalampos Chelmis:
Noisy Label Detection and Counterfactual Correction. 763-775 - Debasmit Roy, Rishav Pramanik, Ram Sarkar:
Margin-Aware Adaptive-Weighted-Loss for Deep Learning Based Imbalanced Data Classification. 776-785 - Syed Aamir Ali Shah, Abdul Bais, Lei Zhang:
Optimization of Patient Specific Stimulus for Deep Brain Stimulation Using Spatially Distributed Neural Sources. 786-800 - Tao Jiang, Xiaojie Su, Jiangshuai Huang, Zhenshan Bing, Alois Knoll:
Performance-Driven Safe Bayesian Optimization for Intelligent Tuning of High-Order Cascade Systems. 801-813 - Wenjian Luo, Licai Zhang, Yulin Wu, Chuanyi Liu, Peiyi Han, Rongfei Zhuang:
Capacity Abuse Attack of Deep Learning Models Without Need of Label Encodings. 814-826 - Amitangshu Mukherjee, Isha Garg, Kaushik Roy:
Encoding Hierarchical Information in Neural Networks Helps in Subpopulation Shift. 827-838 - Md. Moniruzzaman, Abdulsalam Yassine, Rachid Benlamri:
Blockchain and Federated Reinforcement Learning for Vehicle-to-Everything Energy Trading in Smart Grids. 839-853 - Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama:
Supervised Local Training With Backward Links for Deep Neural Networks. 854-867 - Ziqiang He, Shaohua Wan, Marco Zappatore, Hu Lu:
A Similarity Matrix Low-Rank Approximation and Inconsistency Separation Fusion Approach for Multiview Clustering. 868-881 - Shujin Qin, Shancheng Zhang, Jiacun Wang, Shixin Liu, Xiwang Guo, Liang Qi:
Multiobjective Multiverse Optimizer for Multirobotic U-Shaped Disassembly Line Balancing Problems. 882-894 - Leyao Wang, Prayag Tiwari, Yijie Ding, Fei Guo:
Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis. 895-903 - Sinnu Susan Thomas, Guillaume Lamine, Jacopo Palandri, Mohsen Lakehal-Ayat, Punarjay Chakravarty, Friedrich Wolf-Monheim, Matthew B. Blaschko:
Mitigating Bias in Bayesian Optimized Data While Designing MacPherson Suspension Architecture. 904-915 - Hongjing Liang, Zhenyu Chang, Yingnan Pan:
Dual-Event-Triggered Intelligence Security Control for Multiagent Systems Against DoS Attacks With Applications in Mobile Robot Systems. 916-924 - Yuwei Sun, Hideya Ochiai, Jun Sakuma:
Attacking-Distance-Aware Attack: Semi-targeted Model Poisoning on Federated Learning. 925-939 - Ashish Verma, Debashis Sen:
Generative Augmentation-Driven Prediction of Diverse Visual Scanpaths in Images. 940-955 - Thomas Truong, Svetlana N. Yanushkevich:
Visual Relationship Detection for Workplace Safety Applications. 956-961
Volume 5, Number 3, March 2024
- Francesco Piccialli, Maizar Raissi, Felipe A. C. Viana, Giancarlo Fortino, Huimin Lu, Amir Hussain:
Guest Editorial: Special Issue on Physics-Informed Machine Learning. 964-966 - Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto:
Thermodynamics-Informed Graph Neural Networks. 967-976 - Nikhil Laxminarayana, Nimish Mishra, Prayag Tiwari, Sahil Garg, Bikash K. Behera, Ahmed Farouk:
Quantum-Assisted Activation for Supervised Learning in Healthcare-Based Intrusion Detection Systems. 977-984 - Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong:
Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. 985-1000 - Luis Fernando Nazari, Eduardo Camponogara, Laio Oriel Seman:
Physics-Informed Neural Networks for Modeling Water Flows in a River Channel. 1001-1015 - Enrico Schiassi, Andrea D'Ambrosio, Roberto Furfaro:
Bellman Neural Networks for the Class of Optimal Control Problems With Integral Quadratic Cost. 1016-1025 - João Lucas de Sousa Almeida, Arthur Cancellieri Pires, Klaus Feine Vaz Cid, Alberto Costa Nogueira Junior:
Nonintrusive Operator Inference for Chaotic Systems. 1026-1039 - Lingling Fang, Xin Wang:
Ultrasound COVID-19 Classification Based on the Novel Module-Based Dual-Path Network. 1040-1051 - Shunli Zhang, Laurence T. Yang, Yue Zhang, Zhixing Lu, Zongmin Cui:
Tensor-Based Forward-Backward Algorithms in the Physics-Informed Coupled Hidden Markov Model. 1052-1066 - Baixue Xing, Hongliang Liu, Xiao Tang, Long Shi:
Neural Network Methods Based on Efficient Optimization Algorithms for Solving Impulsive Differential Equations. 1067-1076 - Srikanth Jannu, Suresh Dara, Chaitanya Thuppari, Ankit Vidyarthi, Debjani Ghosh, Prayag Tiwari, Ghulam Muhammad:
Energy Efficient Quantum-Informed Ant Colony Optimization Algorithms for Industrial Internet of Things. 1077-1086 - Haixu Yu, Xudong Zhao:
Deep Reinforcement Learning With Reward Design for Quantum Control. 1087-1101 - Mahindra Rautela, J. Senthilnath, Armin Huber, S. Gopalakrishnan:
Toward Deep Generation of Guided Wave Representations for Composite Materials. 1102-1109 - Hong Zhang, Wenjun Zhao:
A Memory-Efficient Neural Ordinary Differential Equation Framework Based on High-Level Adjoint Differentiation. 1110-1120 - Wenting Li, Deepjyoti Deka, Ren Wang, Mario Roberto Arrieta Paternina:
Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids. 1121-1131 - Rayhaan Iqbal, Amir Behjat, Revant Adlakha, Jesse Callanan, Mostafa Nouh, Souma Chowdhury:
Auto-Differentiable Transfer Mapping Architecture for Physics-Infused Learning of Acoustic Field. 1132-1146 - Junchang Huang, Weifeng Zeng, Hao Xiong, Bernd R. Noack, Gang Hu, Shugao Liu, Yuchen Xu, Huanhui Cao:
Symmetry-Informed Reinforcement Learning and its Application to Low-Level Attitude Control of Quadrotors. 1147-1161 - Shahin Boluki, Siamak Zamani Dadaneh, Edward R. Dougherty, Xiaoning Qian:
Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification. 1162-1173 - Michal Moran, Goren Gordon:
Deep Curious Feature Selection: A Recurrent, Intrinsic-Reward Reinforcement Learning Approach to Feature Selection. 1174-1184 - Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. 1185-1194 - Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte:
A Novel Approach for Fair Principal Component Analysis Based on Eigendecomposition. 1195-1206 - Yingcong Lu, Yipeng Liu, Zhen Long, Zhangxin Chen, Ce Zhu:
O-Minus Decomposition for Multiview Tensor Subspace Clustering. 1207-1220 - Zizhu Fan, Yijing Huang, Chao Xi, Qiang Liu:
Multiview Adaptive K-Nearest Neighbor Classification. 1221-1234 - Jun-Wei Hsieh, Cheng-Han Chou, Ming-Ching Chang, Ping-Yang Chen, Santanu Santra, Chih-Sheng Huang:
Mean-Shift Based Differentiable Architecture Search. 1235-1246 - Jinyu Chen, Xiaodan Shi, Haoran Zhang, Wenjing Li, Peiran Li, Yuhao Yao, Xuan Song, Ryosuke Shibasaki:
Mutual Adaptation: Learning From Prototype for Time-Series Prediction. 1247-1262 - Jiang Zhao, Yibo Wang, Zhihao Cai, Ningjun Liu, Kun Wu, Yingxun Wang:
Learning Visual Representation for Autonomous Drone Navigation via a Contrastive World Model. 1263-1276 - Apoorva Singh, Siddarth Chandrasekar, Tanmay Sen, Sriparna Saha:
Federated Multitask Learning for Complaint Identification Using Graph Attention Network. 1277-1286 - Abdulrahman Takiddin, Muhammad Ismail, Rachad Atat, Katherine R. Davis, Erchin Serpedin:
Robust Graph Autoencoder-Based Detection of False Data Injection Attacks Against Data Poisoning in Smart Grids. 1287-1301 - Haozhe Chen, Jie Zhang, Kejiang Chen, Weiming Zhang, Nenghai Yu:
Model Access Control Based on Hidden Adversarial Examples for Automatic Speech Recognition. 1302-1315 - Han Wang, Dan Jiang, Haixian Zhang, Yujue Wang, Li Yang, David J. Kerr, Yi Zhang:
An Explainable Coarse-to-Fine Survival Analysis Method on Multi-Center Whole Slide Images. 1316-1327 - Zhengle Zhang, Tiedong Ma, Xiaojie Su, Xiaoyu Ma:
Impulsive Consensus of One-Sided Lipschitz Multi-Agent Systems With Deception Attacks and Stochastic Perturbation. 1328-1338 - Shivani Kumar, Shubham Dudeja, Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion Flip Reasoning in Multiparty Conversations. 1339-1348 - Yazhou Zhang, Yang Yu, Dongming Zhao, Zuhe Li, Bo Wang, Yuexian Hou, Prayag Tiwari, Jing Qin:
Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation. 1349-1361 - Chetan Ralekar, Shubham Choudhary, Tapan Kumar Gandhi, Santanu Chaudhury:
Development of Character Recognition Model Inspired by Visual Explanations. 1362-1372 - Shreyash Mishra, Rakesh Kumar Sanodiya:
A Novel Angular-Based Unsupervised Domain Adaptation Framework for Image Classification. 1373-1385 - Saeed Vahidian, Mahdi Morafah, Chen Chen, Mubarak Shah, Bill Lin:
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. 1386-1397 - Liang Zou, Jiahui Qiao, Xinhui Yu, Xun Chen, Meng Lei:
Intelligent Proximate Analysis of Coal Based on Near-Infrared Spectroscopy and Multioutput Deep Learning. 1398-1410 - Yuhong Zhang, Congmei Shi, Xinzheng Li, Zan Zhang, Xuegang Hu:
Multicomponent Similarity Graphs for Cross-Network Node Classification. 1411-1424
Volume 5, Number 4, April 2024
- Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder:
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? 1429-1442 - Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, Hongshik Ahn:
Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent. 1443-1457 - Ghada El-Khawaga, Omar M. Elzeki, Mervat Abu-Elkheir, Manfred Reichert:
Why Should I Trust Your Explanation? An Evaluation Approach for XAI Methods Applied to Predictive Process Monitoring Results. 1458-1472 - Nandita Bhaskhar, Daniel L. Rubin, Christopher Lee-Messer:
An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring. 1473-1485 - Alessio Ragno, Biagio La Rosa, Roberto Capobianco:
Prototype-Based Interpretable Graph Neural Networks. 1486-1495 - Alexandros Doumanoglou, Stylianos Asteriadis, Dimitrios Zarpalas:
Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations. 1496-1510 - Robert J. Smith, Malcolm I. Heywood:
Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker Tasks. 1511-1524 - Xinhui Yu, Dan Wang, Martin J. McKeown, Z. Jane Wang:
Contrastive-Enhanced Domain Generalization With Federated Learning. 1525-1532 - Haipeng Peng, Shuang Bao, Lixiang Li:
A Survey of Security Protection Methods for Deep Learning Model. 1533-1553 - Changsheng Li, Kaihang Mao, Shiye Wang, Ye Yuan, Guoren Wang:
Self-Supervised Graph Information Bottleneck for Multiview Molecular Embedding Learning. 1554-1562 - Feng Tao, Mingkang Wu, Yongcan Cao:
Generalized Maximum Entropy Reinforcement Learning via Reward Shaping. 1563-1572 - Saheb Chhabra, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
Low-Quality Deepfake Detection via Unseen Artifacts. 1573-1585 - Tianming Zhuang, Zhen Qin, Yi Ding, Fuhu Deng, Leduo Chen, Zhiguang Qin, Kim-Kwang Raymond Choo:
Temporal Refinement Graph Convolutional Network for Skeleton-Based Action Recognition. 1586-1598 - Manoj Kumar Panda, Badri Narayan Subudhi, Thangaraj Veerakumar, Vinit Jakhetiya:
Modified ResNet-152 Network With Hybrid Pyramidal Pooling for Local Change Detection. 1599-1612 - Siladittya Manna, Saumik Bhattacharya, Umapada Pal:
Self-Supervised Representation Learning for Knee Injury Diagnosis From Magnetic Resonance Data. 1613-1623 - Ben Niu, Xinyu Liu, Zhihua Guo, Hao Jiang, Huanqing Wang:
Adaptive Intelligent Control-Based Consensus Tracking for a Class of Switched Nonstrict Feedback Nonlinear Multiagent Systems With Unmodeled Dynamics. 1624-1634 - Jaydeep Kishore, Snehasis Mukherjee:
Minimizing Parameter Overhead in Self-Supervised Models for Target Task. 1635-1646 - Chunya Zou, Andi Han, Lequan Lin, Ming Li, Junbin Gao:
A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs. 1647-1657 - Chunjie Zhang, Xiaolong Zheng:
Decomposing Visual and Semantic Correlations for Both Fully Supervised and Few-Shot Image Classification. 1658-1668 - Ziao Wang, Yunpeng Ren, Xiaofeng Zhang, Yiyuan Wang:
Generating Long Financial Report Using Conditional Variational Autoencoders With Knowledge Distillation. 1669-1680 - Naresh Vedhamuru, Yogeswararao Gurubelli, B. Nageswararao Naik, Malmathanraj Ramanathan, Palanisamy Ponnusamy:
Empirical Analysis of Squeeze and Excitation-Based Densely Connected CNN for Chili Leaf Disease Identification. 1681-1692 - Huadeng Wang, Wenbin Zuo, Bingbing Li, Xipeng Pan, Zhenbing Liu, Rushi Lan, Xiaonan Luo:
Dilation-Supervised Learning: A Novel Strategy for Scale Difference in Retinal Vessel Segmentation. 1693-1707 - Mahdi Morafah, Weijia Wang, Bill Lin:
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. 1708-1717 - Ankita Chatterjee, Jayanta Mukhopadhyay, Partha Pratim Das:
ImageNet Classification Using WordNet Hierarchy. 1718-1727 - Changming Zhao, Ruimin Peng, Dongrui Wu:
Bagging and Boosting Fine-Tuning for Ensemble Learning. 1728-1742 - Ying Xu, Qirui Ke, Ziyi Jiang, Yikui Zhai, Angelo Genovese, Vincenzo Piuri, Fabio Scotti:
Antenna Parameter Measurement Network With Dual Attention and Focus Loss Using UAV. 1743-1754 - Ran Zhang, Zhila Bahrami, Ke Feng, Zheng Liu:
A Visual and Textual Information Fusion-Based Zero-Shot Framework for Hazardous Material Placard Detection and Recognition. 1755-1768 - Marco Capó, Aritz Pérez, José Antonio Lozano:
Fast $K$-Medoids With the $l_{1}$-Norm. 1769-1777 - Yongming Li, Xingyan Zheng, Kewen Li:
Prescribed-Time Adaptive Intelligent Formation Controller for Nonlinear Multiagent Systems Based on Time-Domain Mapping. 1778-1790 - Amir M. Soufi Enayati, Ram Dershan, Zengjie Zhang, Dean Richert, Homayoun Najjaran:
Facilitating Sim-to-Real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation. 1791-1804 - Changzhi Yang, Huihui Pan, Weichao Sun, Huijun Gao:
Social Self-Attention Generative Adversarial Networks for Human Trajectory Prediction. 1805-1815 - Hongli Xiao, Bingshu Wang, Jiangbin Zheng, Licheng Liu, C. L. Philip Chen:
A Fine-Grained Detector of Face Mask Wearing Status Based on Improved YOLOX. 1816-1830 - Kuo-Sheng Cheng, Qiong-Wen Zhang, Hung-Wen Tsai, Nien-Tsu Li, Pau-Choo Chung:
Domain-Centroid-Guided Progressive Teacher-Based Knowledge Distillation for Source-Free Domain Adaptation of Histopathological Images. 1831-1843 - Aroof Aimen, Sahil Sidheekh, Bharat Ladrecha, Hansin Ahuja, Narayanan C. Krishnan:
Adaptation: Blessing or Curse for Higher Way Meta-Learning. 1844-1856 - Debamita Kumar, Pradipta Maji:
Discriminative Deep Generalized Dependency Analysis for Multi-View Data. 1857-1868 - Wenzhe Guo, Kuilian Yang, Haralampos-G. Stratigopoulos, Hassan Aboushady, Khaled Nabil Salama:
An End-To-End Neuromorphic Radio Classification System With an Efficient Sigma-Delta-Based Spike Encoding Scheme. 1869-1881 - Shanshan Wang, Chenglong Xiao:
Reinforcement Learning for Selecting Custom Instructions Under Area Constraint. 1882-1894 - Zhi Lu, Songfeng Lu, Xueming Tang, Junjun Wu:
Robust and Verifiable Privacy Federated Learning. 1895-1908
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