中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共42条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Interpretability of Neural Networks Based on Game-theoretic Interactions 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 718-739
作者:  Huilin Zhou;   Jie Ren;   Huiqi Deng;   Xu Cheng;  Jinpeng Zhang;   Quanshi Zhang
Adobe PDF(2984Kb)  |  收藏  |  浏览/下载：5/2  |  提交时间：2024/07/18
Model interpretability and transparency  explainable AI  game theory  interaction  deep learning  
Segment Anything Is Not Always Perfect: An Investigationof SAM on Different Real-world Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 617-630
作者:  Wei Ji;   Jingjing Li;   Qi Bi;   Tingwei Liu;  Wenbo Li;   Li Cheng
Adobe PDF(11623Kb)  |  收藏  |  浏览/下载：3/1  |  提交时间：2024/07/18
Segment anything model (SAM)  visual perception  segmentation  foundational model  computer vision  
Autonomy Evaluation of Unmanned Systems Based on Task Models 期刊论文
Machine Intelligence Research, 2024, 页码: 1-16
作者:  Yi Zou;  Zehao Ni;  Xun Lei;  Chi Zhang
Adobe PDF(1801Kb)  |  收藏  |  浏览/下载：38/11  |  提交时间：2024/06/27
Latent Landmark Graph for Efficient Exploration-Exploitation Balance in Hierarchical Reinforcement Learning 期刊论文
Machine Intelligence Research, 2023, 页码: 158
作者:  Zhang Qingyang;  Zhang Hongming;  Xing Dengpeng;  Bo Xu
Adobe PDF(9639Kb)  |  收藏  |  浏览/下载：19/9  |  提交时间：2024/06/25
GraphFM: Graph Factorization Machines for Feature Interaction Modeling 期刊论文
Machine Intelligence Research, 2024, 页码: 1
作者:  Shu Wu;  Zekun Li;  Yunyue Su;  Zeyu Cui;  Xiaoyu Zhang;  Liang Wang
Adobe PDF(7938Kb)  |  收藏  |  浏览/下载：29/8  |  提交时间：2024/06/21
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
作者:  Chen Li;  Yang Cao;  Ye Zhu;  Debo Cheng;  Chengyuan Li;  Yasuhiko Morimoto
Adobe PDF(3688Kb)  |  收藏  |  浏览/下载：52/23  |  提交时间：2024/05/23
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
作者:  Hua Wang;  Xing-Yu Guo;  Hao Tao;  Ming-Liang Xu
Adobe PDF(1439Kb)  |  收藏  |  浏览/下载：50/14  |  提交时间：2024/05/23
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
作者:  Yifan Zhao;  Jia Li;  Yonghong Tian
Adobe PDF(1743Kb)  |  收藏  |  浏览/下载：37/14  |  提交时间：2024/05/23
Finer granularity, visual parsing, part segmentation, fine-grained object recognition, part relationship  
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
作者:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
Adobe PDF(2923Kb)  |  收藏  |  浏览/下载：46/17  |  提交时间：2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 400-410
作者:  Dezheng Wang;  Yinglong Wang;  Fan Yang;  Liyang Xu;  Yinong Zhang;  Yiran Chen;  Ning Liao
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载：57/12  |  提交时间：2024/04/23
Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction