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Prompting Large Language Models for Automatic Question Tagging 期刊论文
Machine Intelligence Research, 2024, 页码: 0
作者:  Nuojia Xu;  Dizhan Xue;  Shengsheng Qian;  Quan Fang;  Jun Hu
Adobe PDF(1493Kb)  |  收藏  |  浏览/下载：11/3  |  提交时间：2024/06/04
Community Question Answering  Machine Learning  Large Language Model  Prompt Learning  Question Tagging  
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 318-330
作者:  Yu-Cheng Chou;  Bowen Li;  Deng-Ping Fan;  Alan Yuille;  Zongwei Zhou
Adobe PDF(4008Kb)  |  收藏  |  浏览/下载：40/14  |  提交时间：2024/04/23
Weak annotation, detection, localization, segmentation, colonoscopy, abdomen  
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：28/5  |  提交时间：2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
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：39/11  |  提交时间：2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization  
A Study of Using Synthetic Data for Effective Association Knowledge Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 194-206
作者:  Yuchi Liu;  Zhongdao Wang;  Xiangxin Zhou;  Liang Zheng
Adobe PDF(2006Kb)  |  收藏  |  浏览/下载：31/10  |  提交时间：2024/04/23
Multi-object tracking (MOT)  data association  synthetic data  motion simulation  association knowledge learning  
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 350-365
作者:  Yi-Jun Zhang;  Zhao-Fei Yu;  Jian. K. Liu;  Tie-Jun Huang
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：39/13  |  提交时间：2024/04/23
Neural decoding  machine learning  deep learning  visual decoding  brain-inspired vision  
Towards Interpretable Defense Against Adversarial Attacks via Causal Inference 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 3, 页码: 209-226
作者:  Min Ren;  Yun-Long Wang;  Zhao-Feng He
Adobe PDF(5143Kb)  |  收藏  |  浏览/下载：13/4  |  提交时间：2024/04/23
Adversarial sample  adversarial defense  causal inference  interpretable machine learning  transformers  
Paradigm Shift in Natural Language Processing 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 3, 页码: 169-183
作者:  Tian-Xiang Sun;  Xiang-Yang Liu;  Xi-Peng Qiu;  Xuan-Jing Huang
Adobe PDF(1449Kb)  |  收藏  |  浏览/下载：32/10  |  提交时间：2024/04/23
Face detection  global context  attention mechanism  computer vision  deep learning  
VLP: A Survey on Vision-language Pre-training 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 38-56
作者:  Feilong Chen;  Duzhen Zhang;  Minglun Han;  Xiuyi Chen;  Jing Shi;  Shuang Xu;  Bo Xu
Adobe PDF(969Kb)  |  收藏  |  浏览/下载：154/30  |  提交时间：2023/06/21
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, 页码: 1-12
作者:  Xu, Xinyao;  Xu, De;  Qin, Fangbo
Adobe PDF(1677Kb)  |  收藏  |  浏览/下载：192/66  |  提交时间：2023/06/21
data augmentation  feature clustering  class-rebalance strategy  few-shot learning  fault diagnosis