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Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 257-271
作者:  Bo-Jing Feng;  Xi Cheng;  Hao-Nan Xu;  Wen-Fang Xue
Adobe PDF(2621Kb)  |  收藏  |  浏览/下载：55/12  |  提交时间：2024/04/23
Corporate credit rating, hierarchical relation, heterogeneous graph neural networks, adversarial learning  
Opportunities and challenges for biometrics 专著
Switzerland:Springer, 2020
作者:  Sun, Zhenan;  Li, Qi;  Liu, Yunfan;  Zhu, Yuhao
Adobe PDF(590Kb)  |  收藏  |  浏览/下载：99/38  |  提交时间：2024/02/23
Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
作者:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
Adobe PDF(69424Kb)  |  收藏  |  浏览/下载：216/70  |  提交时间：2023/07/06
Adversarial Semi-supervised Learning for Corporate Credit Ratings 期刊论文
Journal of Software, 2021, 卷号: 16, 期号: 6, 页码: 259-266
作者:  冯博 靖
Adobe PDF(1425Kb)  |  收藏  |  浏览/下载：163/47  |  提交时间：2022/06/13
Adversarial learning  corporate credit ratings  financial risk  semi-supervised learning  
Toward few-shot domain adaptation with perturbation-invariant representation and transferable prototypes 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2022, 卷号: 16, 期号: 3, 页码: 11
作者:  Fan, Junsong;  Wang, Yuxi;  Guan, He;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(4804Kb)  |  收藏  |  浏览/下载：316/54  |  提交时间：2022/06/10
domain adaptation  semantic segmentation  
Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 卷号: 130, 期号: 4, 页码: 970-989
作者:  Zhang, Zhaoxiang;  Pan, Cong;  Peng, Junran
Adobe PDF(1753Kb)  |  收藏  |  浏览/下载：225/6  |  提交时间：2022/06/06
Computer vision  Object detection  Effective receptive fields  Hardware acceleration  
Mining Cross Features for Financial Credit Risk Assessment 会议论文
, Queensland, Australia, 2021.11.01-2021.11.05
作者:  Liu, Qiang;  Liu, Zhaocheng;  Zhang, Haoli;  Chen, Yuntian;  Zhu, Jun
Adobe PDF(6112Kb)  |  收藏  |  浏览/下载：243/79  |  提交时间：2022/04/07
Deep Active Learning for Text Classification with Diverse Interpretations 会议论文
, Queensland, Australia, 2021.11.01-2021.11.05
作者:  Liu, Qiang;  Zhu, Yanqiao;  liu, Zhaocheng;  Zhang, Yufeng;  Wu, Shu
Adobe PDF(1506Kb)  |  收藏  |  浏览/下载：228/59  |  提交时间：2022/04/07
Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1915-1925
作者:  Song, Yi-Fan;  Zhang, Zhang;  Shan, Caifeng;  Wang, Liang
Adobe PDF(3381Kb)  |  收藏  |  浏览/下载：409/65  |  提交时间：2021/06/15
Skeleton  Robustness  Noise measurement  Three-dimensional displays  Degradation  Standards  Feature extraction  Action recognition  skeleton  activation map  graph convolutional network  occlusion  jittering  
Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model 期刊论文
AMERICAN JOURNAL OF PSYCHIATRY, 2021, 卷号: 178, 期号: 1, 页码: 65-76
作者:  Zhan, Yafeng;  Wei, Jianze;  Liang, Jian;  Xu, Xiu;  He, Ran;  Robbins, Trevor W.;  Wang, Zheng
Adobe PDF(6036Kb)  |  收藏  |  浏览/下载：416/109  |  提交时间：2021/03/01