Monitoring of a machining process using kernel principal component analysis and kernel density estimation. - Wo Jae Lee; Gamini Mendis; Matthew J. Triebe; John W. Sutherland (J. Intell. Manuf., 2020)

Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems. - Mustafa Abdallah; Wo Jae Lee; Nithin Raghunathan; Charilaos Mousoulis; John W. Sutherland; Saurabh Bagchi (CoRR, 2021)

Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery. - Wo Jae Lee; Kevin Xia 001; Nancy L. Denton; Bruno Ribeiro 001; John W. Sutherland (J. Intell. Manuf., 2021)

A Multimodal Strategy for Singing Language Identification. - Wo Jae Lee; Emanuele Coviello (INTERSPEECH, 2022)

Robust Audio Anomaly Detection. - Wo Jae Lee; Karim Helwani; Arvindh Krishnaswamy; Srikanth V. Tenneti (CoRR, 2022)

Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets. - Mustafa Abdallah; Byung-Gun Joung; Wo Jae Lee; Charilaos Mousoulis; John W. Sutherland; Saurabh Bagchi (CoRR, 2022)

A Novel Method to Detect Instrumental Music in a Large Scale Music Catalog. - Wo Jae Lee; Emanuele Coviello (WASPAA, 2023)

Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets. - Mustafa Abdallah; Byung-Gun Joung; Wo Jae Lee; Charilaos Mousoulis; Nithin Raghunathan; Ali Shakouri; John W. Sutherland; Saurabh Bagchi (Sensors, 2023)