中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共587条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 283-293
作者:  Bowen Chen;  Xiao Ding;  Yi Zhao;  Bo Fu;  Tingmao Lin;  Bing Qin;  Ting Liu
Adobe PDF(1796Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Cognition inspired natural language processing, psycholinguistics, explainability, text difficulty, curriculum learning  
Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:  Na Luo;  Weiyang Shi;  Zhengyi Yang;  Ming Song;  Tianzi Jiang
Adobe PDF(1726Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders  
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 318-334
作者:  Wai-Chung Kwan;  Hong-Ru Wang;  Hui-Min Wang;  Kam-Fai Wong
Adobe PDF(2211Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process  
Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 121-144
作者:  Guo-Yin Wang;  Dong-Dong Cheng;  De-You Xia;  Hai-Huan Jiang
Adobe PDF(2487Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Swarm intelligence  single-population  multi-population  human-machine hybrid  multi-granularity  
Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 1-18
作者:  Hong Qiao;  Ya-Xiong Wu;  Shan-Lin Zhong;  Pei-Jie Yin;  Jia-Hao Chen
Adobe PDF(2207Kb)  |  收藏  |  浏览/下载：5/0  |  提交时间：2024/04/23
Brain-inspired intelligent robot  software and hardware  decision making  muscle control  cognitive intelligence  
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：3/0  |  提交时间：2024/04/23
Causal reasoning  visual representation learning  reliable artificial intelligence  spatial-temporal data  multi-modal analysis  
Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 456-471
作者:  Kai-Yuan Liu;  Xing-Yu Li;  Yu-Rui Lai;  Hang Su;  Jia-Chen Wang;  Chun-Xu Guo;  Hong Xie;  Ji-Song Guan;  Yi Zhou
Adobe PDF(3203Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Brain-inspired learning  autoencoder  robustness  adversarial attack  generative model  
Towards a New Paradigm for Brain-inspired Computer Vision 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 412-424
作者:  Xiao-Long Zou;  Tie-Jun Huang;  Si Wu
Adobe PDF(1615Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Brain-inspired computer vision  spatio-temporal patterns  object detection  object tracking  object recognition  
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：1/0  |  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  
From Teleoperation to Autonomous Robot-assisted Microsurgery: A Survey 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 288-306
作者:  Dandan Zhang;  Weiyong Si;  Wen Fan;  Yuan Guan;  Chenguang Yang
Adobe PDF(1635Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23
Robot-assisted microsurgery (RAMS)  imaging and sensing  teleoperation  cooperative control  robot learning