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Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 666-682
作者:  Cheng-Cheng Ma;  Bao-Yuan Wu;  Yan-Bo Fan;  Yong Zhang;   Zhi-Feng Li
Adobe PDF(9598Kb)  |  收藏  |  浏览/下载：27/9  |  提交时间：2024/04/23
Adversarial defense, adversarial detection, generalized Gaussian distribution, Benford-Fourier coefficients, image classification  
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：22/5  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Pre-training in Medical Data: A Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 147-149
作者:  Yixuan Qiu;  Feng Lin;  Weitong Chen;  Miao Xu
Adobe PDF(2262Kb)  |  收藏  |  浏览/下载：21/5  |  提交时间：2024/04/23
Medical data  pre-training  transfer learning  self-supervised learning  medical image data  electrocardiograms (ECG) data  
Video Polyp Segmentation: A Deep Learning Perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 6, 页码: 531-549
作者:  Ge-Peng Ji;  Guobao Xiao;  Yu-Cheng Chou;  Deng-Ping Fan;  Kai Zhao;  Geng Chen;  Luc Van Gool
Adobe PDF(9520Kb)  |  收藏  |  浏览/下载：21/3  |  提交时间：2024/04/23
Video polyp segmentation (VPS)  dataset  self-attention  colonoscopy  abdomen  
Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 439-455
作者:  Qiongyi Zhou;  Changde Du;  Huiguang He
Adobe PDF(7698Kb)  |  收藏  |  浏览/下载：26/5  |  提交时间：2024/04/23
Convolutional neural network (CNN)  vision transformer (ViT)  multi-modal networks  spatial-temporal networks  visual neural encoding  brain-like neural networks  
Weakly Correlated Knowledge Integration for Few-shot Image Classification 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 24-37
作者:  Chun Yang;  Chang Liu;  Xu-Cheng Yin
Adobe PDF(1133Kb)  |  收藏  |  浏览/下载：24/7  |  提交时间：2024/04/23
Computer vision  pattern recognition  knowledge refinement and reuse  neural networks  machine vision  
Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218
作者:  Wen-Han Zhu;  Wei Sun;  Xiong-Kuo Min;  Guang-Tao Zhai;  Xiao-Kang Yang
Adobe PDF(1343Kb)  |  收藏  |  浏览/下载：174/59  |  提交时间：2021/04/22
Image quality assessment (IQA)  no-reference (NR)  structural computational modeling  human visual system  visual feature extraction  
Integration of Facial Thermography in EEG-based Classification of ASD 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 837-854
作者:  Dilantha Haputhanthri;  Gunavaran Brihadiswaran;  Sahan Gunathilaka;  Dulani Meedeniya;  Sampath Jayarathna;  Mark Jaime;  Christopher Harshaw
浏览  |  Adobe PDF(1617Kb)  |  收藏  |  浏览/下载：209/61  |  提交时间：2021/02/22
Autism spectrum disorder  facial thermography  EEG signal processing  machine learning  decision support system  ASDGenus.  
A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载：190/57  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 398-412
作者:  N. R. Nayak;  P. K. Dash;  R. Bisoi
浏览  |  Adobe PDF(1576Kb)  |  收藏  |  浏览/下载：128/42  |  提交时间：2021/02/22
Non-stationary signals  sparse S-transform (SST)  scaling method  fuzzy decision tree  pattern classification.