中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Toward Human-centered XAI in Practice: A survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 740-770
作者:  Xiangwei Kong;  Shujie Liu;  Luhao Zhu
Adobe PDF(1550Kb)  |  收藏  |  浏览/下载：9/1  |  提交时间：2024/07/18
Artificial intelligence (AI) application  explainable AI (XAI)  human-centered design  visual computing  medical diagnosis  
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：12/3  |  提交时间：2024/07/18
Model interpretability and transparency  explainable AI  game theory  interaction  deep learning  
Generalized Embedding Machines for Recommender Systems 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 571-584
作者:  Enneng Yang;  Xin Xin;  Li Shen;  Yudong Luo;  Guibing Guo
Adobe PDF(1617Kb)  |  收藏  |  浏览/下载：68/24  |  提交时间：2024/05/23
Feature interactions, high-order interaction, factorization machine (FM), recommender system, graph neural network (GNN)  
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
作者:  Jiaxin Ren;  Jingcheng Wen;  Zhibin Zhao;  Ruqiang Yan;  Xuefeng Chen;  Asoke K. Nandi
Adobe PDF(16165Kb)  |  收藏  |  浏览/下载：41/9  |  提交时间：2024/05/22
Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：54/17  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks