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Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：57/13  |  提交时间：2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:  Wenxuan Guo;  Hui-Ling Zhen;  Xijun Li;  Wanqian Luo;  Mingxuan Yuan;  Yaohui Jin;  Junchi Yan
Adobe PDF(1518Kb)  |  收藏  |  浏览/下载：73/26  |  提交时间：2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization  
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 350-365
作者:  Yi-Jun Zhang;  Zhao-Fei Yu;  Jian. K. Liu;  Tie-Jun Huang
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：70/25  |  提交时间：2024/04/23
Neural decoding  machine learning  deep learning  visual decoding  brain-inspired vision  
Towards Interpretable Defense Against Adversarial Attacks via Causal Inference 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 3, 页码: 209-226
作者:  Min Ren;  Yun-Long Wang;  Zhao-Feng He
Adobe PDF(5143Kb)  |  收藏  |  浏览/下载：44/13  |  提交时间：2024/04/23
Adversarial sample  adversarial defense  causal inference  interpretable machine learning  transformers  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载：69/17  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载：160/44  |  提交时间：2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
Learning to Branch in Combinatorial Optimization With Graph Pointer Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169
作者:  Rui Wang;  Zhiming Zhou;  Kaiwen Li;  Tao Zhang;  Ling Wang;  Xin Xu;  Xiangke Liao
Adobe PDF(1841Kb)  |  收藏  |  浏览/下载：294/181  |  提交时间：2024/01/02
Branch-and-bound (B&B)  combinatorial optimization  deep learning  graph neural network  imitation learning  
Research on Voiceprint Recognition of Camouflage Voice Based on Deep Belief Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 947-962
作者:  Nan Jiang;  Ting Liu
Adobe PDF(1905Kb)  |  收藏  |  浏览/下载：245/55  |  提交时间：2021/11/26
Disguised voice recognition  deep belief network  feature extraction  Gammatone frequency cepstrum coefficients (GFCC)  dropout  
Computational Decision Support System for ADHD Identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 233-255
作者:  Senuri De Silva;  Sanuwani Dayarathna;  Gangani Ariyarathne;  Dulani Meedeniya;  Sampath Jayarathna;  Anne M. P. Michalek
Adobe PDF(1937Kb)  |  收藏  |  浏览/下载：378/91  |  提交时间：2021/04/22
Attention deficit/hyperactivity disorder (ADHD)  functional magnetic resonance imaging (fMRI)  eye movement data  seed-based correlation  ensembled model  convolutional neural network (CNN)  default mode network (DMN)  saccades  fixations  ADHD-Care decision support system (DDS)  
Prediction of Spatiotemporal Evolution of Urban Traffic Emissions Based on Taxi Trajectories 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 219-232
作者:  Zhen-Yi Zhao;  Yang Cao;  Yu Kang;  Zhen-Yi Xu
Adobe PDF(1649Kb)  |  收藏  |  浏览/下载：163/61  |  提交时间：2021/04/22
Vehicle emission prediction  spatiotemporal gragh convolution  GPS trajectories  motor vehicle emission simulator (MOVES) model  feature sharing