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ORCIDIEEE Transactions on Artificial Intelligence, Volume 3
Volume 3, Number 1, February 2022
- Geoff Nitschke
, David Howard:
AutoFac: The Perpetual Robot Machine. 2-10 - Gourab Ghatak, Hardhik Mohanty, Aniq Ur Rahman:
Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits. 11-19 - Xiang Li, Yuchen Jiang, Chenglin Liu, Shaochong Liu, Hao Luo, Shen Yin:
Playing Against Deep-Neural-Network-Based Object Detectors: A Novel Bidirectional Adversarial Attack Approach. 20-28 - Xian-Xin Shao, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang:
Bipartite Cooperative Coevolution for Energy-Aware Coverage Path Planning of UAVs. 29-42 - Yi Li, Yang Sun, Kirill V. Horoshenkov, Syed Mohsen Naqvi:
Domain Adaptation and Autoencoder-Based Unsupervised Speech Enhancement. 43-52 - Richa Sharma, Prerna Gaur, Shaurya Bhatt, Deepak Joshi:
Performance Assessment of Fuzzy Logic Control Approach for MR-Damper Based-Transfemoral Prosthetic Leg. 53-66 - Minh Long Hoang, Antonio Pietrosanto:
New Artificial Intelligence Approach to Inclination Measurement Based on MEMS Accelerometer. 67-77 - Lianbo Ma, Jingwei Wang, Jian Cheng, Xingwei Wang, Wancheng Zhu:
MLRP-KG: Mine Landslide Risk Prediction Based on Knowledge Graph. 78-87
Volume 3, Number 2, April 2022
- Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala I. Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato:
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning. 90-109 - Kishor Datta Gupta, Dipankar Dasgupta:
Negative Selection Algorithm Research and Applications in the Last Decade: A Review. 110-128 - Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken:
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison. 129-138 - Arunselvan Ramaswamy, Eyke Hüllermeier:
Deep Q-Learning: Theoretical Insights From an Asymptotic Analysis. 139-151 - Sebastian Pilarski, Slawomir Pilarski, Dániel Varró:
Delayed Reward Bernoulli Bandits: Optimal Policy and Predictive Meta-Algorithm PARDI. 152-163 - Jyotsana Grover, Madasu Hanmandlu:
Development of an Optimal Entropy Classifier and Prudent Learning Model. 164-175 - Bin-Bin Jia, Min-Ling Zhang:
Decomposition-Based Classifier Chains for Multi-Dimensional Classification. 176-191 - Xiang Fang, Yuchong Hu, Pan Zhou, Dapeng Oliver Wu:
ANIMC: A Soft Approach for Autoweighted Noisy and Incomplete Multiview Clustering. 192-206 - Tianpei Zou, Guang Chen, Zhijun Li, Wei He, Sanqing Qu, Shangding Gu, Alois C. Knoll:
KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud. 207-217 - Lei Liu, Changqi Zhu, Yan-Jun Liu, Shaocheng Tong:
Adaptive Finite-Time Neural Constrained Control for Nonlinear Active Suspension Systems Based on the Command Filter. 218-227 - Wei Zhou, Jun Yi, Lizhong Yao, Guorong Chen:
Event-Triggered Optimal Control for the Continuous Stirred Tank Reactor System. 228-237 - Berker Arslan, Sefer Memis, Elena Battini Sönmez, Okan Zafer Batur:
Fine-Grained Food Classification Methods on the UEC FOOD-100 Database. 238-243 - James Okae, Bohan Li, Juan Du, Yueming Hu:
Robust Scale-Aware Stereo Matching Network. 244-253 - Hongbo Zhang, Yi-Zhong Zhou, Li-Jia Dong, Qing Lei, Ji-Xiang Du:
Design and Implementation of a Vision- and Grating-Sensor-Based Intelligent Unmanned Settlement System. 254-264 - Gaurab Bhattacharya, Niladri B. Puhan, Bappaditya Mandal:
Stand-Alone Composite Attention Network for Concrete Structural Defect Classification. 265-274 - Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha:
Estimation and Applications of Quantiles in Deep Binary Classification. 275-286 - Gaurav Dewangan, Seetaram Maurya:
Fault Diagnosis of Machines Using Deep Convolutional Beta-Variational Autoencoder. 287-296 - Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, Wei Wang:
Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving. 297-308 - Zhijun Zhang, Guangqiang Chen, Siyuan Chen:
A Support Vector Neural Network for P300 EEG Signal Classification. 309-321
Volume 3, Number 3, June 2022
- Bingshu Wang, Jiangbin Zheng, C. L. Philip Chen:
A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19. 323-343 - Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini:
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. 344-354 - Niko Reunanen, Tomi Räty, Timo Lintonen, Juho J. Jokinen:
Assessment of the Clusterability of Data Using a Multimodal Convolutional Neural Network. 355-369 - Ali Braytee, Mohamad Naji, Paul J. Kennedy:
Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation. 370-380 - Arun K. Sharma, Nishchal K. Verma:
Quick Learning Mechanism With Cross-Domain Adaptation for Intelligent Fault Diagnosis. 381-390 - Jiachen Shi, Yi Fan, Guoqiang Zhou, Jun Shen:
Distributed GAN: Toward a Faster Reinforcement-Learning-Based Architecture Search. 391-401 - Xun Mou, Ling-Xiang Mao, Hu-Chen Liu, MengChu Zhou:
Spherical Linguistic Petri Nets for Knowledge Representation and Reasoning Under Large Group Environment. 402-413 - Ying Liu, Zhen Xu, Chen Zhang:
Distributed Semisupervised Partial Label Learning Over Networks. 414-425 - Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi, Pietro Liò:
System Neural Network: Evolution and Change Based Structure Learning. 426-435 - Yao Zhou, Xianglei Yuan, Xiaozhi Zhang, Wei Liu, Yu Wu, Gary G. Yen, Bing Hu, Zhang Yi:
Evolutionary Neural Architecture Search for Automatic Esophageal Lesion Identification and Segmentation. 436-450 - Jiankun Wang, Jianbang Liu, Weinan Chen, Wenzheng Chi, Max Q.-H. Meng:
Robot Path Planning via Neural-Network-Driven Prediction. 451-460 - Fang Liu, Qing Tao, Dechang Yang, Denis N. Sidorov:
Bidirectional Gated Recurrent Unit-Based Lower Upper Bound Estimation Method for Wind Power Interval Prediction. 461-469 - Xiaoyu Jiang, Zhiqiang Ge:
Attacks on Data-Driven Process Monitoring Systems: Subspace Transfer Networks. 470-484 - Wenjie Liu, Xin Shu, Lei Zhang, Dong Li, Qing Lv:
Deep Multiscale Multi-Instance Networks With Regional Scoring for Mammogram Classification. 485-496
Volume 3, Number 4, August 2022
- Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li:
Balanced Graph Cut With Exponential Inter-Cluster Compactness. 498-505 - Josef Bajada, Maria Fox, Derek Long:
Efficient Temporal Piecewise-Linear Numeric Planning With Lazy Consistency Checking. 506-517 - Akshay Chaturvedi, Abhisek Chakrabarty, Masao Utiyama, Eiichiro Sumita, Utpal Garain:
Ignorance is Bliss: Exploring Defenses Against Invariance-Based Attacks on Neural Machine Translation Systems. 518-525 - Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang, Jiancheng Lv:
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures. 526-540 - Joshua Peeples, Weihuang Xu, Alina Zare:
Histogram Layers for Texture Analysis. 541-552 - Qianqian Zhang, Yu Kang, Yun-Bo Zhao, Pengfei Li, Shiyi You:
Traded Control of Human-Machine Systems for Sequential Decision-Making Based on Reinforcement Learning. 553-566 - Shashi Suman, Ali Etemad, François Rivest:
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. 567-580 - Andrew Tittaferrante, Abdulsalam Yassine:
Multiadvisor Reinforcement Learning for Multiagent Multiobjective Smart Home Energy Control. 581-594 - Feng-Lei Fan, Dayang Wang, Hengtao Guo, Qikui Zhu, Pingkun Yan, Ge Wang, Hengyong Yu:
On a Sparse Shortcut Topology of Artificial Neural Networks. 595-608 - Nam Nguyen, J. Morris Chang:
CSNAS: Contrastive Self-Supervised Learning Neural Architecture Search Via Sequential Model-Based Optimization. 609-624 - Sapna S. Mishra, Bappaditya Mandal, Niladri B. Puhan:
Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification. 625-635
Volume 3, Number 5, October 2022
- Erik Cambria, Frank Xing, Mike Thelwall, Roy E. Welsch:
Guest Editorial: Sentiment Analysis as a Multidisciplinary Research Area. 638-641 - Xieling Chen, Haoran Xie, Jingjing Wang, Zongxi Li, Gary Cheng, Man Leung Wong, Fu Lee Wang:
A Bibliometric Review of Soft Computing for Recommender Systems and Sentiment Analysis. 642-656 - Hugo Queiroz Abonizio, Emerson Cabrera Paraiso, Sylvio Barbon:
Toward Text Data Augmentation for Sentiment Analysis. 657-668 - Martina Toshevska, Sonja Gievska:
A Review of Text Style Transfer Using Deep Learning. 669-684 - Fatma Najar, Nizar Bouguila:
Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States. 685-698 - Geng Tu, Jintao Wen, Cheng Liu, Dazhi Jiang, Erik Cambria:
Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation. 699-708 - Jun Yi, Jiahua Huang, Wei Zhou, Guorong Chen, Meng Zhao:
Intergroup Cascade Broad Learning System With Optimized Parameters for Chaotic Time Series Prediction. 709-721 - Shihua Huang, Cheng He, Ran Cheng:
SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network. 722-737 - Dawei Dai, Zhiguo Zhuang, Jianchao Wei, Shuyin Xia, Yutang Li, Hongfei Zhu:
Random Sharing Parameters in the Global Region of Convolutional Neural Network. 738-748 - Naiyao Liang, Zuyuan Yang, Lingjiang Li, Zhenni Li, Shengli Xie:
Incomplete Multiview Clustering With Cross-View Feature Transformation. 749-762 - Nayyer Aafaq, Ajmal Mian, Wei Liu, Naveed Akhtar, Mubarak Shah:
Cross-Domain Modality Fusion for Dense Video Captioning. 763-777 - Xipei Wang, Haoyu Zhang, Yuanbo Zhang, Meng Wang, Jiarui Song, Tin Lai, Matloob Khushi:
Learning Nonstationary Time-Series With Dynamic Pattern Extractions. 778-787 - Chen Zhang, Hang Bai, Yonggang Zhang, Xinyi Niu, Bin Yu, Yuan Gao, Yu Xie:
Federated Multitask Learning for HyperFace. 788-797 - Dongshu Wang, Kai Yang, Lei Liu, Heshan Wang:
An Incremental Learning Model for Mobile Robot: From Short-Term Memory to Long-Term Memory. 798-808 - Fatimatelbatoul Husari, Jeevanand Seshadrinath:
Early Stator Fault Detection and Condition Identification in Induction Motor Using Novel Deep Network. 809-818 - Yuechuan Tao, Jing Qiu, Shuying Lai:
A Supervised-Learning Assisted Computation Method for Power System Planning. 819-832 - Tassadaq Hussain, Wei-Chien Wang, Mandar Gogate, Kia Dashtipour, Yu Tsao, Xugang Lu, Ahsan Adeel, Amir Hussain:
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement. 833-842 - Wenlong Liao, Zhe Yang, Xinxin Chen, Yaqi Li:
WindGMMN: Scenario Forecasting for Wind Power Using Generative Moment Matching Networks. 843-850
Volume 3, Number 6, December 2022
- Atul Rawal, James McCoy, Danda B. Rawat, Brian M. Sadler, Robert St. Amant:
Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges, and Perspectives. 852-866 - Gustavo Assunção, Bruno Patrão, Miguel Castelo-Branco, Paulo Jorge Carvalho Menezes:
An Overview of Emotion in Artificial Intelligence. 867-886 - Licheng Jiao, Yuting Yang, Fang Liu, Shuyuan Yang, Biao Hou:
The New Generation Brain-Inspired Sparse Learning: A Comprehensive Survey. 887-907 - Mingfu Xue, Yushu Zhang, Jian Wang, Weiqiang Liu:
Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations. 908-923 - Viet Minh Vu, Adrien Bibal, Benoît Frénay:
Integrating Constraints Into Dimensionality Reduction for Visualization: A Survey. 944-962 - Yuwei Sun, Hideya Ochiai, Hiroshi Esaki:
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness. 963-972 - Swagatam Das, Sankha Subhra Mullick, Ivan Zelinka:
On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges. 973-993 - Yikai Li, C. L. Philip Chen, Tong Zhang:
A Survey on Siamese Network: Methodologies, Applications, and Opportunities. 994-1014 - Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo:
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey. 1015-1029 - Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu:
Evaluation Methods and Measures for Causal Learning Algorithms. 924-943
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