| Using alternate reality games to find a needle in a haystack: An approach for testing insider threat detection methods S Wasko, RE Rhodes, M Goforth, N Bos, HP Cowley, G Matthews, ... Computers & Security 107, 102314, 2021 | 12 | 2021 |
| A framework for rigorous evaluation of human performance in human and machine learning comparison studies HP Cowley, M Natter, K Gray-Roncal, RE Rhodes, EC Johnson, ... Scientific Reports 12 (1), 5444, 2022 | 10 | 2022 |
| Toward A Reproducible, Scalable Framework for Processing Large Neuroimaging Datasets | 8* | 2019 |
| Toward a scalable framework for reproducible processing of volumetric, nanoscale neuroimaging datasets EC Johnson, M Wilt, LM Rodriguez, R Norman-Tenazas, C Rivera, ... GigaScience 9 (12), giaa147, 2020 | 6 | 2020 |
| A substrate for modular, extensible data-visualization JK Matelsky, J Downs, HP Cowley, B Wester, W Gray-Roncal Big data analytics 5, 1-15, 2020 | 6 | 2020 |
| Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients HP Cowley, MS Robinette, JK Matelsky, D Xenes, A Kashyap, NF Ibrahim, ... Scientific reports 13 (1), 2236, 2023 | 2 | 2023 |
| Benchmarking Human Performance for Visual Search of Aerial Images RE Rhodes, HP Cowley, JG Huang, W Gray-Roncal, BA Wester, ... Frontiers in Psychology 12, 733021, 2021 | 2 | 2021 |
| Author Correction: A framework for rigorous evaluation of human performance in human and machine learning comparison studies HP Cowley, M Natter, K Gray-Roncal, RE Rhodes, EC Johnson, ... Scientific Reports 12 (1), 11559, 2022 | 1 | 2022 |
| Using machine learning to discover unexpected patterns in clinical data: a case study in COVID-19 sub-cohort discovery HP Cowley, MS Robinette, JK Matelsky, D Xenes, A Kashyap, NF Ibrahim, ... | 1 | 2022 |
| A Saliva-Based Serological and Behavioral Analysis of SARS-CoV-2 Antibody Prevalence in Howard County, Maryland AC Brown, PT Koshute, HP Cowley, MS Robinette, SR Gravelyn, SV Patel, ... Microbiology Spectrum 11 (4), e02765-22, 2023 | | 2023 |
| Using Machine Learning to Discover Unexpected Patterns in Clinical Data: A Case Study in COVID-19 Sub-cohort Discovery (preprint) HP Cowley, M Robinette, J Matelsky, D Xenes, A Kashyap, N Ibrahim, ... | | 2022 |
| Toward a Reproducible Framework for Evaluating Neuroimaging Algorithms for Clinical Research M Brown, EC Johnson, JK Matelsky, BE Dewey, H Cowley, A Duerr, ... ACTRIMS Forum 2019, 2019 | | 2019 |
| Methods to Identify Patient Clusters and Build Precision Analytics for Diagnosis, Prognosis and Treatment N Meister, H Cowley, C Rivera, KM Gray-Roncal, K Fitzgerald, ... ACTRIMS Forum 2019, 2019 | | 2019 |
| Asubstratefor modular, extensible data-visualization JK Matelsky, J Downs, H Cowley, B Wester, W Gray-Roncal | | 2017 |
| Cognitive processes in spatial mapping: Evidence from a developmental spatial deficit M Hatfield, C Reilhac, H Cowley, E Chang, M McCloskey Cognitive neuropsychology 34 (5), 294-311, 2017 | | 2017 |
William R. Gray-Roncal, Ph.D.Johns Hopkins University Applied Physics LaboratoryVerified email at jhu.edu
