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2020 – today
- 2023
[i2]Kazuaki Kashihara, Kuntal Kumar Pal, Chitta Baral, Robert P. Trevino:
Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums. CoRR abs/2303.05400 (2023)- 2020
- [c5]Wesley Brewer, Greg Behm, Alan L. Scheinine, Ben Parsons, Wesley Emeneker, Robert P. Trevino:
Inference Benchmarking on HPC Systems. HPEC 2020: 1-9 - [c4]Wesley Brewer, Greg Behm, Alan L. Scheinine, Ben Parsons, Wesley Emeneker, Robert P. Trevino:
iBench: a Distributed Inference Simulation and Benchmark Suite. HPEC 2020: 1-6
2010 – 2019
- 2018
- [j1]Jundong Li
, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu:
Feature Selection: A Data Perspective. ACM Comput. Surv. 50(6): 94:1-94:45 (2018) - 2016
- [b1]Robert P. Trevino:
Big Data Analysis of Bacterial Inhibitors in Parallelized Cellomics - A Machine Learning Approach. Arizona State University, Tempe, USA, 2016 - [i1]Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu:
Feature Selection: A Data Perspective. CoRR abs/1601.07996 (2016) - 2015
- [c3]Robert P. Trevino, Steve A. Kawamoto, Thomas J. Lamkin, Huan Liu:
Cell analytics in compound hit selection of bacterial inhibitors. IEEE BigData 2015: 1037-1042 - 2010
- [c2]Archana Ramesh, Robert P. Trevino, Daniel D. Von Hoff, Seungchan Kim:
Clustering Context-Specific Gene Regulatory Networks. Pacific Symposium on Biocomputing 2010: 444-455
2000 – 2009
- 2009
- [c1]Ina Sen, Michael P. Verdicchio, Sungwon Jung, Robert P. Trevino, Michael L. Bittner:
Context-Specific Gene Regulations in Cancer Gene Expression Data. Pacific Symposium on Biocomputing 2009: 75-86
Coauthor Index
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