| Definitions, methods, and applications in interpretable machine learning WJ Murdoch, C Singh, K Kumbier, R Abbasi-Asl, B Yu Proceedings of the National Academy of Sciences 116 (44), 22071-22080, 2019 | 1219 | 2019 |
| Interpretable machine learning: definitions, methods, and applications WJ Murdoch, C Singh, K Kumbier, R Abbasi-Asl, B Yu arXiv preprint arXiv:1901.04592, 2019 | 454 | 2019 |
| Iterative random forests to discover predictive and stable high-order interactions S Basu, K Kumbier, JB Brown, B Yu Proceedings of the National Academy of Sciences 115 (8), 1943-1948, 2018 | 316 | 2018 |
| Veridical data science B Yu Proceedings of the 13th international conference on web search and data …, 2020 | 155 | 2020 |
| A debiased MDI feature importance measure for random forests X Li, Y Wang, S Basu, K Kumbier, B Yu Advances in Neural Information Processing Systems 32, 2019 | 93 | 2019 |
| Curating a COVID-19 data repository and forecasting county-level death counts in the United States N Altieri, RL Barter, J Duncan, R Dwivedi, K Kumbier, X Li, R Netzorg, ... PubPub, 2021 | 78 | 2021 |
| Artificial intelligence and statistics B Yu, K Kumbier Frontiers of Information Technology & Electronic Engineering 19 (1), 6-9, 2018 | 44 | 2018 |
| Three principles of data science: predictability, computability, and stability (PCS) B Yu | 42 | 2018 |
| Refining interaction search through signed iterative random forests K Kumbier, S Basu, JB Brown, S Celniker, B Yu bioRxiv, 467498, 2018 | 25 | 2018 |
| Interpretable machine learning: Definitions, methods, and applications. arXiv 2019 WJ Murdoch, C Singh, K Kumbier, R Abbasi-Asl, B Yu arXiv preprint arXiv:1901.04592 10, 0 | 13 | |
| A novel random forest approach to revealing interactions and controls on chlorophyll concentration and bacterial communities during coastal phytoplankton blooms Y Cheng, VN Bhoot, K Kumbier, MP Sison-Mangus, JB Brown, R Kudela, ... Scientific Reports 11 (1), 19944, 2021 | 11 | 2021 |
| Learning epistatic polygenic phenotypes with Boolean interactions M Behr, K Kumbier, A Cordova-Palomera, M Aguirre, O Ronen, C Ye, ... PLOS ONE 19 (4), e0298906, 2024 | 7 | 2024 |
| Curating a covid-19 data repository and forecasting county-level death counts in the united states. Harvard Data Science Review N Altieri, RL Barter, J Duncan, R Dwivedi, K Kumbier, X Li, R Netzorg, ... | 7 | 2021 |
| Selection of optimal cell lines for high-content phenotypic screening L Heinrich, K Kumbier, L Li, SJ Altschuler, LF Wu ACS chemical biology 18 (4), 679-685, 2023 | 4 | 2023 |
| Dissecting the effects of GTPase and kinase domain mutations on LRRK2 endosomal localization and activity C Rinaldi, CS Waters, Z Li, K Kumbier, L Rao, RJ Nichols, MP Jacobson, ... Cell Reports 42 (5), 2023 | 3 | 2023 |
| Special issue 1-covid-19: unprecedented challenges and chances N Altieri, RL Barter, J Duncan, R Dwivedi, K Kumbier, X Li, R Netzorg, ... Harvard Data Science Review, 2021 | 3 | 2021 |
| Signed iterative random forests to identify enhancer-associated transcription factor binding K Kumbier, S Basu, E Frise, SE Celniker, JB Brown, S Celniker, B Yu arXiv preprint arXiv:1810.07287, 2018 | 3 | 2018 |
| A scalable screening platform for phenotypic subtyping of ALS patient-derived fibroblasts K Kumbier, M Roth, Z Li, J Lazzari-Dean, C Waters, P Huang, ... bioRxiv, 2022.09. 27.509770, 2022 | 2 | 2022 |
| Designing a Data Science simulation with MERITS: A Primer CF Elliott, J Duncan, TM Tang, M Behr, K Kumbier, B Yu arXiv preprint arXiv:2403.08971, 2024 | 1 | 2024 |
| Epistasis regulates genetic control of cardiac hypertrophy Q Wang, TM Tang, N Youlton, CS Weldy, AM Kenney, O Ronen, ... Research Square, 2023 | 1 | 2023 |
Bin YUProfessor of Statistics and EECS, UC BerkeleyVerified email at stat.berkeley.edu
