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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：15/6  |  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：7/2  |  提交时间：2024/04/23
Chinese FrameNet (CFN), commonsense, scenario commonsense, frame, knowledge  
Exploring Variational Auto-encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 29-45
作者:  Nick Bryan-Kinns;  Bingyuan Zhang;  Songyan Zhao;  Berker Banar
Adobe PDF(1683Kb)  |  收藏  |  浏览/下载：7/4  |  提交时间：2024/04/23
Variational auto-encoder, explainable AI (XAI), generative music, musical features, datasets  
Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 4-28
作者:  Mengting Liu;  Ying Zhou;  Yuwei Wu;  Feng Gao
Adobe PDF(14438Kb)  |  收藏  |  浏览/下载：17/1  |  提交时间：2024/04/23
Artificial intelligence (AI) art, audio-visual, artificial intelligence generated content (AIGC), multimodal, artistic evaluation  
Effective Model Compression via Stage-wise Pruning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 937-951
作者:  Ming-Yang Zhang;  Xin-Yi Yu;  Lin-Lin Ou
Adobe PDF(2394Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/04/23
Automated machine learning (AutoML), channel pruning, model compression, distillation, convolutional neural networks (CNN)  
Multimodal Biometric Fusion Algorithm Based on Ranking Partition Collision Theory 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 884-896
作者:  Zhuorong Li;  Yunqi Tang
Adobe PDF(2010Kb)  |  收藏  |  浏览/下载：17/9  |  提交时间：2024/04/23
Image processing, convolutional neural network, multimodal, biometrics, fusion  
Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：10/3  |  提交时间：2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
YOLO-CORE: Contour Regression for Efficient Instance Segmentation 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 716-728
作者:  Haoliang Liu;  Wei Xiong;  Yu Zhang
Adobe PDF(11569Kb)  |  收藏  |  浏览/下载：4/1  |  提交时间：2024/04/23
Computer vision, instance segmentation, object shape prediction, contour regression, polar distance  
Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:  Wenxuan Guo;  Hui-Ling Zhen;  Xijun Li;  Wanqian Luo;  Mingxuan Yuan;  Yaohui Jin;  Junchi Yan
Adobe PDF(1518Kb)  |  收藏  |  浏览/下载：13/5  |  提交时间：2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization  
A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 583-594
作者:  Xinyao Xu;  De Xu;  Fangbo Qin
Adobe PDF(1348Kb)  |  收藏  |  浏览/下载：7/1  |  提交时间：2024/04/23
Data augmentation, feature clustering, class-rebalance strategy, few-shot learning, fault diagnosis