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CASIA OpenIR

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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：10/0  |  提交时间：2024/04/23
Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction  
CASIA-Iris-Africa: A Large-scale African Iris Image Database 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 383-399
作者:  Jawad Muhammad;  Yunlong Wang;  Junxing Hu;  Kunbo Zhang;  Zhenan Sun
Adobe PDF(8969Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2024/04/23
African iris recognition, racial bias, iris image database, biometrics, iris recognition  
Enhancing Multi-agent Coordination via Dual-channel Consensus 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 349-368
作者:  Qingyang Zhang;  Kaishen Wang;  Jingqing Ruan;  Yiming Yang;  Dengpeng Xing;  Bo Xu
Adobe PDF(4997Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23
Multi-agent reinforcement learning, contrastive representation learning, consensus, multi-agent cooperation, cognitive consistency  
Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 331-348
作者:  Guanghui Shi;  Shasha Mao;  Shuiping Gou;  Dandan Yan;  Licheng Jiao;  Lin Xiong
Adobe PDF(3926Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Facial expression recognition, deep neural network, multiple network ensemble, attention network, facial crucial regions  
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  
GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 272-282
作者:  Jing Hu;  Lingfei Wu;  Yu Chen;  Po Hu;  Mohammed J. Zaki
Adobe PDF(1612Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Conversational machine comprehension (MC), reading comprehension, question answering, graph neural networks (GNNs), natural language processing (NLP)  
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：1/0  |  提交时间：2024/04/23
Corporate credit rating, hierarchical relation, heterogeneous graph neural networks, adversarial learning  
A Comprehensive Overview of CFN From a Commonsense Perspective 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 239-256
作者:  Ru Li;  Yunxiao Zhao;  Zhiqiang Wang;  Xuefeng Su;  Shaoru Guo;  Yong Guan;  Xiaoqi Han;  Hongyan Zhao
Adobe PDF(2392Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Chinese FrameNet (CFN), commonsense, scenario commonsense, frame, knowledge  
Boosting Multi-modal Ocular Recognition via Spatial Feature Reconstruction and Unsupervised Image Quality Estimation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 197-214
作者:  Zihui Yan;  Yunlong Wang;  Kunbo Zhang;  Zhenan Sun;  Lingxiao He
Adobe PDF(3457Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Iris recognition, periocular recognition, spatial feature reconstruction, fully convolutional network, flexible matching, unsupervised iris quality assessment, adaptive weight fusion  
Stability and Generalization of Hypergraph Collaborative Networks 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 184-196
作者:  Michael K. Ng;  Hanrui Wu;  Andy Yip
Adobe PDF(1211Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Hypergraphs, vertices, hyperedges, collaborative networks, graph convolutional neural networks (CNNs), stability, generalization guarantees