Context-Specific Gene Regulations in Cancer Gene Expression Data. - Ina Sen; Michael P. Verdicchio; Sungwon Jung; Robert P. Trevino; Michael L. Bittner (Pacific Symposium on Biocomputing, 2009)

Clustering Context-Specific Gene Regulatory Networks. - Archana Ramesh; Robert P. Trevino; Daniel D. Von Hoff; Seungchan Kim (Pacific Symposium on Biocomputing, 2010)

Cell analytics in compound hit selection of bacterial inhibitors. - Robert P. Trevino; Steve A. Kawamoto; Thomas J. Lamkin; Huan Liu 001 (IEEE BigData, 2015)

Big Data Analysis of Bacterial Inhibitors in Parallelized Cellomics - A Machine Learning Approach. - Robert P. Trevino (2016)

Feature Selection: A Data Perspective. - Jundong Li; Kewei Cheng; Suhang Wang; Fred Morstatter; Robert P. Trevino; Jiliang Tang; Huan Liu 001 (ACM Comput. Surv., 2018)

Inference Benchmarking on HPC Systems. - Wesley Brewer; Greg Behm; Alan L. Scheinine; Ben Parsons; Wesley Emeneker; Robert P. Trevino (HPEC, 2020)

iBench: a Distributed Inference Simulation and Benchmark Suite. - Wesley Brewer; Greg Behm; Alan L. Scheinine; Ben Parsons; Wesley Emeneker; Robert P. Trevino (HPEC, 2020)

Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums. - Kazuaki Kashihara; Kuntal Kumar Pal; Chitta Baral; Robert P. Trevino (IntelliSys (3), 2023)