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Karl Kumbier
Karl Kumbier
University of California San Francisco
Geverifieerd e-mailadres voor berkeley.edu
Titel
Geciteerd door
Geciteerd door
Jaar
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
11972019
Interpretable machine learning: definitions, methods, and applications
WJ Murdoch, C Singh, K Kumbier, R Abbasi-Asl, B Yu
arXiv preprint arXiv:1901.04592, 2019
4482019
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
3152018
Veridical data science
B Yu
Proceedings of the 13th international conference on web search and data …, 2020
1522020
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
902019
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
772021
Artificial intelligence and statistics
B Yu, K Kumbier
Frontiers of Information Technology & Electronic Engineering 19 (1), 6-9, 2018
442018
Three principles of data science: predictability, computability, and stability (PCS)
B Yu
422018
Refining interaction search through signed iterative random forests
K Kumbier, S Basu, JB Brown, S Celniker, B Yu
bioRxiv, 467498, 2018
252018
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
102021
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, ...
72021
Learning epistatic polygenic phenotypes with Boolean interactions
M Behr, K Kumbier, A Cordova-Palomera, M Aguirre, E Ashley, AJ Butte, ...
bioRxiv, 2020.11. 24.396846, 2020
72020
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
42023
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
32021
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
32018
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
22023
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
22022
Epistasis regulates genetic control of cardiac hypertrophy
Q Wang, TM Tang, N Youlton, CS Weldy, AM Kenney, O Ronen, ...
Research Square, 2023
12023
Domain-inspired machine learning for hypothesis extraction in biological data
K Kumbier
University of California, Berkeley, 2019
12019
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Artikelen 1–20