Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. - Matias Benitez; James Tian; Mark Kelly; Vignesh Selvakumaran; Matthew Phelan; Maciej A. Mazurowski; Joseph Y. Lo; Geoffrey D. Rubin; Ricardo Henao (Computer-Aided Diagnosis, 2019)

Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models. - Songyue Han; James Tian; Mark Kelly; Vignesh Selvakumaran; Ricardo Henao; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Positive Definite Kernels, Algorithms, Frames, and Approximations. - Palle E. T. Jorgensen; Myung-Sin Song; James Tian (CoRR, 2021)

Operator theory, kernels, and Feedforward Neural Networks. - Palle E. T. Jorgensen; Myung-Sin Song; James Tian (CoRR, 2023)

Conditional mean embeddings and optimal feature selection via positive definite kernels. - Palle E. T. Jorgensen; Myung-Sin Song; James Tian (CoRR, 2023)

Efficient support ticket resolution using Knowledge Graphs. - Sherwin Varghese; James Tian (CoRR, 2025)