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IEEE Transactions on Artificial Intelligence, Volume 2
Volume 2, Number 1, February 2021
- Sebastian Pilarski, Slawomir Pilarski, Dániel Varró:
Optimal Policy for Bernoulli Bandits: Computation and Algorithm Gauge. 2-17 - Julius von Kügelgen, Luigi Gresele, Bernhard Schölkopf:
Simpson's Paradox in COVID-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects. 18-27 - Tiffanie Edwards, Md. Shafaeat Hossain:
Effectiveness of Deep Learning on Serial Fusion Based Biometric Systems. 28-41 - Cheng-Hao Tu, Huei-Fang Yang, Shih-Min Yang, Mei-Chen Yeh, Chu-Song Chen:
SemanticHash: Hash Coding Via Semantics-Guided Label Prototype Learning. 42-57 - Ziqiang Li, Rentuo Tao, Jie Wang, Fu Li, Hongjing Niu, Mingdao Yue, Bin Li:
Interpreting the Latent Space of GANs via Measuring Decoupling. 58-70 - Qiong Liu, Dongyu Li, Shuzhi Sam Ge, Zhong Ouyang:
Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution. 71-82 - Teena Sharma, Nishchal K. Verma:
Adaptive Interval Type-2 Fuzzy Filter: An AI Agent for Handling Uncertainties to Preserve Image Naturalness. 83-92
Volume 2, Number 2, April 2021
- Hussein A. Abbass:
Editorial: What is Artificial Intelligence? 94-95 - James Curzon, Tracy Ann Kosa, Rajen Akalu, Khalil El-Khatib:
Privacy and Artificial Intelligence. 96-108 - Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu:
Graph Learning: A Survey. 109-127 - Tasweer Ahmad, Lianwen Jin, Xin Zhang, Songxuan Lai, Guozhi Tang, Luojun Lin:
Graph Convolutional Neural Network for Human Action Recognition: A Comprehensive Survey. 128-145 - Guoqing Chao, Shiliang Sun, Jinbo Bi:
A Survey on Multiview Clustering. 146-168 - Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis:
Dynamic Instance-wise Joint Feature Selection and Classification. 169-184 - Ayman Moawad, Ehsan Islam, Namdoo Kim, Ram Vijayagopal, Aymeric Rousseau, Wei Biao Wu:
Explainable AI for a No-Teardown Vehicle Component Cost Estimation: A Top-Down Approach. 185-199 - Chen Qiu, Guangyou Zhou, Zhihua Cai, Anders Søgaard:
A Global-Local Attentive Relation Detection Model for Knowledge-Based Question Answering. 200-212
Volume 2, Number 3, June 2021
- Amir Emad Marvasti, Ehsan Emad Marvasti, Ulas Bagci, Hassan Foroosh:
Maximum Probability Theorem: A Framework for Probabilistic Machine Learning. 214-227 - Zhenyu Yang, Xuesong Wang, Yuhu Cheng, Guojing Liu:
Aspect-Based Capsule Network With Mutual Attention for Recommendations. 228-237 - Xianghui Li, Xinde Li, Zhijun Li, Xinran Xiong, Mohammad Omar Khyam, Changyin Sun:
Robust Vehicle Detection in High-Resolution Aerial Images With Imbalanced Data. 238-250 - Luping Wang, Hui Wei:
Reconstruction for Indoor Scenes Based on an Interpretable Inference. 251-259 - Shreya Bhattacharyya, Souvik Majumder, Papiya Debnath, Manash Chanda:
Arrhythmic Heartbeat Classification Using Ensemble of Random Forest and Support Vector Machine Algorithm. 260-268 - Viet Minh Vu, Adrien Bibal, Benoît Frénay:
Constraint Preserving Score for Automatic Hyperparameter Tuning of Dimensionality Reduction Methods for Visualization. 269-282 - Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kung:
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans. 283-297
Volume 2, Number 4, August 2021
- Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek:
Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers. 299-313 - Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly, Weiping Ding:
Toward the Development of Versatile Brain-Computer Interfaces. 314-328 - Bi-Liang Lu, Zhao-Hua Liu, Hua-Liang Wei, Lei Chen, Hongqiang Zhang, Xiao-Hua Li:
A Deep Adversarial Learning Prognostics Model for Remaining Useful Life Prediction of Rolling Bearing. 329-340 - Feiran Zhao, Keyou You, Shiji Song, Wenyue Zhang, Laisheng Tong:
Suspension Regulation of Medium-Low-Speed Maglev Trains Via Deep Reinforcement Learning. 341-351 - Yang Chen, Yan-Jun Liu, Shaocheng Tong, C. L. Philip Chen, Lei Liu:
Adaptive Intelligent Controller Design-Based ISS Modular Approach for Uncertain Nonlinear Systems With Time-Varying Full-State Constraints. 352-361 - Ashish Gupta, Hari Prabhat Gupta:
YogaHelp: Leveraging Motion Sensors for Learning Correct Execution of Yoga With Feedback. 362-371 - Jianfei Yang, Zhaoyang Zeng, Kai Wang, Han Zou, Lihua Xie:
GarbageNet: A Unified Learning Framework for Robust Garbage Classification. 372-380
Volume 2, Number 5, October 2021
- Wei He, Zhijun Li, Erdal Kayacan, Catherine Huang, Michael V. Basin:
Guest Editorial: Special Issue on Artificial Intelligence for Robotics. 382-383 - Dapeng Yan, Hui Cao, Tao Wang, Ruilin Chen, Shuangsi Xue:
Graph-Based Knowledge Acquisition With Convolutional Networks for Distribution Network Patrol Robots. 384-393 - Zhipeng Dong, Yi Gao, Yunhui Yan, Fei Chen:
Vector Detection Network: An Application Study on Robots Reading Analog Meters in the Wild. 394-403 - Hang Su, Wen Qi, Zhijun Li, Ziyang Chen, Giancarlo Ferrigno, Elena De Momi:
Deep Neural Network Approach in EMG-Based Force Estimation for Human-Robot Interaction. 404-412 - Yikai Li, Tong Zhang, C. L. Philip Chen:
Enhanced Broad Siamese Network for Facial Emotion Recognition in Human-Robot Interaction. 413-423 - Shaofeng Chen, Yang Cao, Yu Kang, Pengfei Li, Bingyu Sun:
Deep Feature Representation Based Imitation Learning for Autonomous Helicopter Aerobatics. 437-446 - Guoxin Li, Zhijun Li, Junjun Li, Yueyue Liu, Hong Qiao:
Muscle-Synergy-Based Planning and Neural-Adaptive Control for a Prosthetic Arm. 424-436 - Yongxiang Zou, Long Cheng:
A Transfer Learning Model for Gesture Recognition Based on the Deep Features Extracted by CNN. 447-458
Volume 2, Number 6, December 2021
- Deborah Mateja, Armin Heinzl:
Towards Machine Learning as an Enabler of Computational Creativity. 460-475 - Edgar Galván, Peter Mooney:
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges. 476-493 - Trent Kyono, Mihaela van der Schaar:
Exploiting Causal Structure for Robust Model Selection in Unsupervised Domain Adaptation. 494-507 - Youngeun Kim, Donghyeon Cho, Kyeongtak Han, Priyadarshini Panda, Sungeun Hong:
Domain Adaptation Without Source Data. 508-518 - Alaa Eddin Alchalabi, Shervin Shirmohammadi, Shady A. Mohammed, Sorin Stoian, Karthigesu Vijayasuganthan:
Fair Server Selection in Edge Computing With $Q$-Value-Normalized Action-Suppressed Quadruple Q-Learning. 519-527 - Anu Jagannath, Jithin Jagannath, Tommaso Melodia:
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning With Deep Unfolding. 528-536 - Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis:
Dynamic Instance-Wise Classification in Correlated Feature Spaces. 537-548 - Jianhang Zhou, Shaoning Zeng, Bob Zhang:
Sparsity-Induced Graph Convolutional Network for Semisupervised Learning. 549-563 - Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth:
An Out-of-Distribution Attack Resistance Approach to Emotion Categorization. 564-573 - Ashish Kumar, Karan Sehgal, Prerna Garg, Vidhya Kamakshi, Narayanan Chatapuram Krishnan:
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks. 574-583 - Wanfu Gao, Liang Hu, Yonghao Li, Ping Zhang:
Preserving Similarity and Staring Decisis for Feature Selection. 584-593 - Wei Dai, Rui Zhang, Qianjin Wang, Yuhu Cheng, Xuesong Wang:
Two-Dimensional Broad Learning System for Data Analytic. 594-607 - A. F. M. Saif, Tamjid Imtiaz, Shahriar Rifat, Celia Shahnaz, Wei-Ping Zhu, M. Omair Ahmad:
CapsCovNet: A Modified Capsule Network to Diagnose COVID-19 From Multimodal Medical Imaging. 608-617
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