Predicting Company Quitting From Online Social Enterprise Activity. - Gaurang Gavai; Kumar Sricharan; Juan Liu 012; Oliver Brdiczka; John Hanley (SNAKDD, 2014)

Detecting Insider Threat from Enterprise Social and Online Activity Data. - Gaurang Gavai; Kumar Sricharan; Dave Gunning; Rob Rolleston; John Hanley; Mudita Singhal (MIST@CCS, 2015)

Supervised and Unsupervised methods to detect Insider Threat from Enterprise Social and Online Activity Data. - Gaurang Gavai; Kumar Sricharan; Dave Gunning; John Hanley; Mudita Singhal; Rob Rolleston (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2015)

Heterogenous Knowledge Discovery from Medical Data Ontologies. - Gaurang Gavai; Marzieh Nabi; Danny Bobrow; Saied Shahraz (ICHI, 2017)

Position Article on Integrating Data and Model to Understand Disease Interactions. - Marzieh Nabi; Adam Arvay; Matthew Klenk 001; Gaurang Gavai; Daniel G. Bobrow; Johan de Kleer (ICHI, 2017)

Collaborative Learning of Concept Representations for Video Data. - Francisco Torres; Hoda Eldardiry; Gaurang Gavai; Chad Ramos (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2019)

Hybrid image-based defect detection for railroad maintenance. - Gaurang Gavai; Hoda Eldardiry; Wencheng Wu; Beilei Xu; Yoshihiro Komatsu; Shigeki Makino (IMSE, 2019)

Railway Anomaly detection model using synthetic defect images generated by CycleGAN. - Takuro Hoshi; Yohei Baba; Gaurang Gavai (CoRR, 2021)

Supervised Anomaly Detection Method Combining Generative Adversarial Networks and Three-Dimensional Data in Vehicle Inspections. - Yohei Baba; Takuro Hoshi; Ryosuke Mori; Gaurang Gavai (CoRR, 2022)