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ORCIDInternational Journal of Automation and Computing, Volume 19
Volume 19, Number 1, February 2022
- Tieniu Tan:
Message from the EiC. 1-2 - Jian-Yu Li
, Zhi-Hui Zhan, Jun Zhang:
Evolutionary Computation for Expensive Optimization: A Survey. 3-23 - Chun Yang, Chang Liu, Xu-Cheng Yin:
Weakly Correlated Knowledge Integration for Few-shot Image Classification. 24-37 - Bin-Bin Jia, Min-Ling Zhang:
Multi-dimensional Classification via Selective Feature Augmentation. 38-51 - Ramashini Murugaiya, Pg Emeroylariffion Abas, Liyanage Chandratilake De Silva:
Probability Enhanced Entropy (PEE) Novel Feature for Improved Bird Sound Classification. 52-62 - Jin Xie, San-Yang Liu, Jiaxi Chen:
A Framework for Distributed Semi-supervised Learning Using Single-layer Feedforward Networks. 63-74 - Hao-Ran Yang, Wei Ni:
Continuous-time Distributed Heavy-ball Algorithm for Distributed Convex Optimization over Undirected and Directed Graphs. 75-88
Volume 19, Number 2, April 2022
- Yong Rui, Vicente Iván Sánchez Carmona, Mohsen Pourvali, Yun Xing, Wei-Wen Yi, Hui-Bin Ruan, Yu Zhang:
Knowledge Mining: A Cross-disciplinary Survey. 89-114 - Zhiqiang Chen, Ting-Bing Xu, Jinpeng Li, Huiguang He:
Sharing Weights in Shallow Layers via Rotation Group Equivariant Convolutions. 115-126 - Emanuele De Santis, Alessandro Giuseppi, Antonio Pietrabissa, Michael Capponi, Francesco Delli Priscoli:
Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection. 127-137 - Qian-Long Dang, Wei Xu, Yang-Fei Yuan:
A Dynamic Resource Allocation Strategy with Reinforcement Learning for Multimodal Multi-objective Optimization. 138-152 - Wei-Chen Chen, Xin-Yi Yu, Linlin Ou:
Pedestrian Attribute Recognition in Video Surveillance Scenarios Based on View-attribute Attention Localization. 153-168
Volume 19, Number 3, June 2022
- Tianxiang Sun, Xiangyang Liu, Xipeng Qiu, Xuanjing Huang:
Paradigm Shift in Natural Language Processing. 169-183 - Xiao-Qing Zhang, Yan Hu, Zunjie Xiao, Jiansheng Fang, Risa Higashita, Jiang Liu:
Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey. 184-208 - Min Ren, Yunlong Wang, Zhaofeng He:
Towards Interpretable Defense Against Adversarial Attacks via Causal Inference. 209-226 - Xiaoyu Zhang, Haichao Shi, Changsheng Li, Lixin Duan:
TwinNet: Twin Structured Knowledge Transfer Network for Weakly Supervised Action Localization. 227-246 - Lin Song, Jin-Fu Yang, Qing-Zhen Shang, Ming-Ai Li:
Dense Face Network: A Dense Face Detector Based on Global Context and Visual Attention Mechanism. 247-256
Volume 19, Number 4, August 2022
- Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool:
Facial-sketch Synthesis: A New Challenge. 257-287 - Dandan Zhang, Weiyong Si, Wen Fan, Yuan Guan, Chenguang Yang:
From Teleoperation to Autonomous Robot-assisted Microsurgery: A Survey. 288-306 - Si-Qi Li, Yue Gao, Qionghai Dai:
Image De-occlusion via Event-enhanced Multi-modal Fusion Hybrid Network. 307-318 - Alessandro Giuseppi, Sabato Manfredi, Antonio Pietrabissa:
A Weighted Average Consensus Approach for Decentralized Federated Learning. 319-330 - Song Zhang, Nan Zheng, Danli Wang:
A Novel Attention-based Global and Local Information Fusion Neural Network for Group Recommendation. 331-346
Volume 19, Number 5, October 2022
- Zhao-Xiang Zhang, Bin Luo, Jin Tang, Shan Yu, Amir Hussain:
Editorial for Special Issue on Brain-inspired Machine Learning. 347-349 - Yi-Jun Zhang, Zhaofei Yu, Jian K. Liu, Tie-Jun Huang:
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches. 350-365 - Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Man Yao, Weisheng Dong, Jianbo Shi, Guoqi Li:
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies. 366-411 - Xiaolong Zou, Tie-Jun Huang, Si Wu:
Towards a New Paradigm for Brain-inspired Computer Vision. 412-424 - Chang-Yang Wu, Xin Lin, Zhenya Huang, Yu Yin, Jia-Yu Liu, Qi Liu, Gang Zhou:
Clause-level Relationship-aware Math Word Problems Solver. 425-438 - Qiongyi Zhou, Changde Du, Huiguang He:
Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective. 439-455 - Kaiyuan Liu, Xingyu Li, Yurui Lai, Hang Su, Jiachen Wang, Chunxu Guo, Hong Xie, Jisong Guan, Yi Zhou:
Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks. 456-471 - Qian Cai, Guo-Chong Cui, Haixian Wang:
EEG-based Emotion Recognition Using Multiple Kernel Learning. 472-484
Volume 19, Number 6, December 2022
- Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin:
Causal Reasoning Meets Visual Representation Learning: A Prospective Study. 485-511 - Chang Liu, Xiao-Fan Chen, Chunjuan Bo, Dong Wang:
Long-term Visual Tracking: Review and Experimental Comparison. 512-530 - Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Luc Van Gool:
Video Polyp Segmentation: A Deep Learning Perspective. 531-549 - Dong Wu, Manwen Liao, Weitian Zhang, Xinggang Wang, Xiang Bai, Wenqing Cheng, Wenyu Liu:
YOLOP: You Only Look Once for Panoptic Driving Perception. 550-562 - Thisara Shyamalee, Dulani Meedeniya:
Glaucoma Detection with Retinal Fundus Images Using Segmentation and Classification. 563-580
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