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Causal Reasoning Meets Visual Representation Learning: A Prospective Study 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 6, 页码: 485-511
作者:  Yang Liu;  Yu-Shen Wei;  Hong Yan;  Guan-Bin Li;  Liang Lin
Adobe PDF(3224Kb)  |  收藏  |  浏览/下载：19/2  |  提交时间：2024/04/23
Causal reasoning  visual representation learning  reliable artificial intelligence  spatial-temporal data  multi-modal analysis  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载：19/3  |  提交时间：2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
A Novel Attention-based Global and Local Information Fusion Neural Network for Group Recommendation 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 331-346
作者:  Song Zhang;  Nan Zheng;  Dan-Li Wang
Adobe PDF(1317Kb)  |  收藏  |  浏览/下载：10/3  |  提交时间：2024/04/23
Group recommendation  attentive neural network (ANN)  global information  local information  recommender system  
A Weighted Average Consensus Approach for Decentralized Federated Learning 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 319-330
作者:  Alessandro Giuseppi;  Sabato Manfredi;  Antonio Pietrabissa
Adobe PDF(1462Kb)  |  收藏  |  浏览/下载：20/8  |  提交时间：2024/04/23
Federated learning (FedL)  deep learning  federated averaging (FedAvg)  machine learning (ML)  artificial intelligence  discrete-time consensus  distributed systems  
Paradigm Shift in Natural Language Processing 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 3, 页码: 169-183
作者:  Tian-Xiang Sun;  Xiang-Yang Liu;  Xi-Peng Qiu;  Xuan-Jing Huang
Adobe PDF(1449Kb)  |  收藏  |  浏览/下载：28/10  |  提交时间：2024/04/23
Face detection  global context  attention mechanism  computer vision  deep learning  
Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 127-137
作者:  Emanuele De Santis;  Alessandro Giuseppi;  Antonio Pietrabissa;  Michael Capponi;  Francesco Delli Priscoli
Adobe PDF(1513Kb)  |  收藏  |  浏览/下载：11/3  |  提交时间：2024/04/23
Network selection  HetNet  deep reinforcement learning  deep-Q-network (DQN)  5G communications  
Knowledge Mining: A Cross-disciplinary Survey 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 89-114
作者:  Yong Rui;  Vicente Ivan Sanchez Carmona;  Mohsen Pourvali;  Yun Xing;  Wei-Wen Yi;  Hui-Bin Ruan;  Yu Zhang
Adobe PDF(1635Kb)  |  收藏  |  浏览/下载：22/5  |  提交时间：2024/04/23
Knowledge mining  knowledge extraction  information extraction  association rule  interpretability