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面向特征学习的图像开集识别方法研究 学位论文
, 2024
Authors:  孙珈因
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开集识别  分布建模  层级注意力  频域滤波  反事实去混淆  直推式框架  
Generalized Embedding Machines for Recommender Systems 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 571-584
Authors:  Enneng Yang;  Xin Xin;  Li Shen;  Yudong Luo;  Guibing Guo
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Feature interactions, high-order interaction, factorization machine (FM), recommender system, graph neural network (GNN)  
An Empirical Study on Google Research Football Multi-agent Scenarios 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 549-570
Authors:  Yan Song;  He Jiang;  Zheng Tian;  Haifeng Zhang;  Yingping Zhang;  Jiangcheng Zhu;  Zonghong Dai;  Weinan Zhang;  Jun Wang
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Multi-agent reinforcement learning (RL), distributed RL system, population-based training, reward shaping, game theory  
Structural Dependence Learning Based on Self-attention for Face Alignment 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 514-525
Authors:  Biying Li;  Zhiwei Liu;  Wei Zhou;  Haiyun Guo;  Xin Wen;  Min Huang;  Jinqiao Wang
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Computer vision, face alignment, self-attention, facial structure, contextual information  
Ripple Knowledge Graph Convolutional Networks for Recommendation Systems 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 481-494
Authors:  Chen Li;  Yang Cao;  Ye Zhu;  Debo Cheng;  Chengyuan Li;  Yasuhiko Morimoto
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Deep learning, recommendation systems, knowledge graph, graph convolutional networks (GCNs), graph neural networks (GNNs)  
Collective Movement Simulation: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 452-480
Authors:  Hua Wang;  Xing-Yu Guo;  Hao Tao;  Ming-Liang Xu
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Collective movement simulation, multiple objects, multiple discipline, simulation effect, collective intelligence  
Parsing Objects at a Finer Granularity: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 431-451
Authors:  Yifan Zhao;  Jia Li;  Yonghong Tian
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Finer granularity, visual parsing, part segmentation, fine-grained object recognition, part relationship  
Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330
Authors:  Jiaxin Ren;  Jingcheng Wen;  Zhibin Zhao;  Ruqiang Yan;  Xuefeng Chen;  Asoke K. Nandi
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Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification  
基于自注意力对抗的深度子空间聚类 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 1, 页码: 271-281
Authors:  尹明;  吴浩杨;  谢胜利;  杨其宇
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子空间聚类  生成对抗网络  自注意力模型  深度学习  
面向对抗样本的深度神经网络可解释性分析 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 1, 页码: 75-86
Authors:  董胤蓬;  苏航;  朱军
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深度神经网络  可解释性  对抗样本  视觉特征表示