The Stochastic Augmented Lagrangian method for domain adaptation

Collaborative deep learning framework for fault diagnosis in distributed complex systems

(2021) Haoxiang Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep partial transfer learning network: A method to selectively transfer diagnostic knowledge across related machines

(2021) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Double-level adversarial domain adaptation network for intelligent fault diagnosis

(2020) Jinyang Jiao et al.   KNOWLEDGE-BASED SYSTEMS

A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems

(2019) Felipe Leno Da Silva et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning

(2019) Justin S. Smith et al.   Nature Communications

Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

(2019) Bilel Benjdira et al.   Remote Sensing

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

(2019) Te Han et al.   ISA TRANSACTIONS

Deep visual domain adaptation: A survey

(2018) Mei Wang et al.   NEUROCOMPUTING

An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring

(2018) Wenguang Yang et al.   RENEWABLE ENERGY

Transferable Representation Learning with Deep Adaptation Networks

(2018) Mingsheng Long et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems

(2018) Te Han et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

(2018) Te Han et al.   KNOWLEDGE-BASED SYSTEMS

Fault diagnosis of wind turbine based on Long Short-term memory networks

(2018) Jinhao Lei et al.   RENEWABLE ENERGY

Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization

(2011) Ernesto G. Birgin et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Domain Adaptation via Transfer Component Analysis

(2010) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A theory of learning from different domains

(2009) Shai Ben-David et al.   MACHINE LEARNING