Wasserstein Distance based Deep Adversarial Transfer Learning for
Intelligent Fault Diagnosis

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis

2 March 2019

Papers citing "Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis"

10 / 10 papers shown

Title
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data Wenqian Jiang Junyang Jin 49 5 0 20 Jan 2025
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments Edward Mohamed Ragab Yuecong Xu Min-man Wu Yuecong Xu Zhenghua Chen Abdulla Alseiari Xiaoli Li 30 2 0 24 Jul 2024
Single-image driven 3d viewpoint training data augmentation for effective wine label recognition Yueh-Cheng Huang Hsin-Yi Chen Cheng-Jui Hung Jen-Hui Chuang Lei Li 25 0 0 12 Apr 2024
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics Qinyi Liu Mohammad Khalil Ronas Shakya Jelena Jovanovic 35 18 0 12 Jan 2024
Recent Advances in Optimal Transport for Machine Learning Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 20 32 0 28 Jun 2023
Turning the information-sharing dial: efficient inference from different data sources Emily C. Hector Ryan Martin 31 5 0 18 Jul 2022
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision Tilman Krokotsch M. Knaak C. Gühmann 19 22 0 19 Aug 2021
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study Zhibin Zhao Qiyang Zhang Xiaolei Yu Chuang Sun Shibin Wang Ruqiang Yan Xuefeng Chen AI4CE 19 355 0 28 Dec 2019
Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models Yuantao Fan Sławomir Nowaczyk Thorsteinn Rögnvaldsson AI4CE 43 73 0 16 Sep 2019
Sample-to-Sample Correspondence for Unsupervised Domain Adaptation Debasmit Das C.S. George Lee OOD 45 60 0 01 May 2018