| Generation and evaluation of synthetic patient data A Goncalves, P Ray, B Soper, J Stevens, L Coyle, AP Sales BMC medical research methodology 20, 1-40, 2020 | 241 | 2020 |
| Data-moderate stock assessments for brown, China, copper, sharpchin, stripetail, and yellowtail rockfishes and English and rex soles in 2013 J Cope, EJ Dick, A MacCall, M Monk, B Soper, C Wetzel National Oceanic and Atmospheric Administration, National Marine Fisheries …, 2013 | 40 | 2013 |
| A hidden Markov model for population‐level cervical cancer screening data BC Soper, M Nygård, G Abdulla, R Meng, JF Nygård Statistics in Medicine 39 (25), 3569-3590, 2020 | 18 | 2020 |
| Nonstationary multivariate Gaussian processes for electronic health records R Meng, B Soper, HKH Lee, VX Liu, JD Greene, P Ray Journal of Biomedical Informatics 117, 103698, 2021 | 13 | 2021 |
| Collaborative energy demand response with decentralized actor and centralized critic R Glatt, FL Silva, B Soper, WA Dawson, E Rusu, RA Goldhahn Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021 | 11 | 2021 |
| A botnet detection game B Soper, J Musacchio 2014 52nd Annual Allerton Conference on Communication, Control, and …, 2014 | 10 | 2014 |
| Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patients S Nguyen, R Chan, J Cadena, B Soper, P Kiszka, L Womack, M Work, ... Scientific Reports 11 (1), 19543, 2021 | 7 | 2021 |
| COVID‐19 outcomes in patients with cancer: Findings from the University of California health system database DH Kwon, J Cadena, S Nguyen, KHR Chan, B Soper, AL Gryshuk, ... Cancer medicine 11 (11), 2204-2215, 2022 | 6 | 2022 |
| Stochastic gradient-based distributed bayesian estimation in cooperative sensor networks J Cadena, P Ray, H Chen, B Soper, D Rajan, A Yen, R Goldhahn IEEE Transactions on Signal Processing 69, 1713-1724, 2021 | 6 | 2021 |
| Bayesian multitask learning regression for heterogeneous patient cohorts A Goncalves, P Ray, B Soper, D Widemann, M Nygård, JF Nygård, ... Journal of Biomedical Informatics 100, 100059, 2019 | 6 | 2019 |
| A non-zero-sum, sequential detection game B Soper, J Musacchio 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 6 | 2015 |
| Hierarchical continuous-time inhomogeneous hidden Markov model for cancer screening with extensive followup data R Meng, B Soper, HKH Lee, JF Nygård, M Nygård Statistical Methods in Medical Research 31 (12), 2383-2399, 2022 | 4 | 2022 |
| Improving five-year survival prediction via multitask learning across HPV-related cancers A Goncalves, B Soper, M Nygård, JF Nygård, P Ray, D Widemann, ... Plos one 15 (11), e0241225, 2020 | 3 | 2020 |
| Dynamic modeling of hospitalized COVID-19 patients reveals disease state–dependent risk factors BC Soper, J Cadena, S Nguyen, KHR Chan, P Kiszka, L Womack, M Work, ... Journal of the American Medical Informatics Association 29 (5), 864-872, 2022 | 2 | 2022 |
| NCI Pilot 3-Synthetic Data Generation Report AR Goncalves, AP Sales, P Ray, B Soper Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2018 | 2 | 2018 |
| Non-zero-sum, adversarial detection games in network security BC Soper University of California, Santa Cruz, 2015 | 2 | 2015 |
| An electronic health record cohort of Veterans with amyotrophic lateral sclerosis RJ Reimer, A Goncalves, B Soper, J Cadena, JL Wilson, AL Gryshuk, ... Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 24 (7-8), 695-701, 2023 | 1 | 2023 |
| Collaborative energy demand response with centralized actor and decentralized critic R Glatt, B Soper, R Goldhahn Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021 | 1 | 2021 |
| Hybrid information-driven multi-agent reinforcement learning WA Dawson, R Glatt, E Rusu, BC Soper, RA Goldhahn arXiv preprint arXiv:2102.01004, 2021 | 1 | 2021 |
| A heterogeneous botnet detection game B Soper, J Musacchio 2014 7th International Conference on NETwork Games, COntrol and OPtimization …, 2014 | 1 | 2014 |
