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Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
作者:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo
Adobe PDF(2873Kb)  |  收藏  |  浏览/下载：54/16  |  提交时间：2024/04/23
Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
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：60/21  |  提交时间：2024/04/23
Image processing, convolutional neural network, multimodal, biometrics, fusion  
ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 697-706
作者:  Kui-Kui Wang;  Gong-Ping Yang;  Lu Yang;  Yu-Wen Huang;  Yi-Long Yin
Adobe PDF(1151Kb)  |  收藏  |  浏览/下载：52/18  |  提交时间：2024/04/23
Biometrics, matrix factorization, electrocardiogram (ECG), semantic information, enhanced correlation  
Speech Emotion Recognition Using Cascaded Attention Network with Joint Loss for Discrimination of Confusions 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 595-604
作者:  Yang Liu;  Haoqin Sun;  Wenbo Guan;  Yuqi Xia;   Zhen Zhao
Adobe PDF(1966Kb)  |  收藏  |  浏览/下载：44/16  |  提交时间：2024/04/23
Speech emotion recognition (SER), 3-dimensional (3D) feature, cascaded attention network (CAN), triplet loss, joint loss  
Federated Learning on Multimodal Data: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 539-553
作者:  Yi-Ming Lin;   Yuan Gao;  Mao-Guo Gong;  Si-Jia Zhang;  Yuan-Qiao Zhang;  Zhi-Yuan Li
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载：27/10  |  提交时间：2024/04/23
Federated learning, multimodal learning, heterogeneous data, edge computing, collaborative learning  
Transformer: A General Framework from Machine Translation to Others 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 514-538
作者:  Yang Zhao;  Jiajun Zhang;  Chengqing Zong
Adobe PDF(1415Kb)  |  收藏  |  浏览/下载：52/14  |  提交时间：2024/04/23
Neural machine translation, Transformer, document neural machine translation (NMT), multimodal NMT, low-resource NMT  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：63/19  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:  Xiao Wang;  Guangyao Chen;  Guangwu Qian;  Pengcheng Gao;  Xiao-Yong Wei;  Yaowei Wang;  Yonghong Tian;  Wen Gao
Adobe PDF(3540Kb)  |  收藏  |  浏览/下载：64/14  |  提交时间：2024/04/23
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning  
Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 435-446
作者:  Jianing Han;  Ziming Wang;  Jiangrong Shen;  Huajin Tang
Adobe PDF(1513Kb)  |  收藏  |  浏览/下载：47/19  |  提交时间：2024/04/23
Symmetric-threshold rectified linear unit (stReLU), deep spiking neural networks, artificial neural network-spiking neural network (ANN-SNN) conversion, lossless conversion, double thresholds  
Robust Local Light Field Synthesis via Occlusion-aware Sampling and Deep Visual Feature Fusion 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 408-420
作者:  Wenpeng Xing;  Jie Chen;  Yike Guo
Adobe PDF(2263Kb)  |  收藏  |  浏览/下载：35/21  |  提交时间：2024/04/23
Novel view synthesis, light field (LF) imaging, multi-view stereo, occlusion sampling, deep visual feature (DVF) fusion