activity
20172024
most citedInterpretable machine learning: definitions, methods, and applications

2.2k citations · 3k across the 7 of their papers we have counts for

collaborators

7 papers

stat.CO2024★ 2 cited

Designing a Data Science simulation with MERITS: A Primer

Corrine F Elliott, James PC Duncan, Tiffany M Tang +3

Simulations play a crucial role in the modern scientific process. Yet despite (or due to) this ubiquity, the Data Science community shares neither a comprehensive definition for a…

stat.AP2020★ 42 cited

Curating a COVID-19 data repository and forecasting county-level death counts in the United States

Nick Altieri, Rebecca L. Barter, James Duncan +11

As the COVID-19 outbreak evolves, accurate forecasting continues to play an extremely important role in informing policy decisions. In this paper, we present our continuous curatio…

stat.ML2019★ 80 cited

A Debiased MDI Feature Importance Measure for Random Forests

Xiao Li, Yu Wang, Sumanta Basu +2

Tree ensembles such as Random Forests have achieved impressive empirical success across a wide variety of applications. To understand how these models make predictions, people rout…

stat.ML2019★ 2.2k cited

Interpretable machine learning: definitions, methods, and applications

W. James Murdoch, Chandan Singh, Karl Kumbier +2

Machine-learning models have demonstrated great success in learning complex patterns that enable them to make predictions about unobserved data. In addition to using models for pre…

stat.ML2018★ 14 cited

Signed iterative random forests to identify enhancer-associated transcription factor binding

Karl Kumbier, Sumanta Basu, Erwin Frise +4

Standard ChIP-seq peak calling pipelines seek to differentiate biochemically reproducible signals of individual genomic elements from background noise. However, reproducibility alo…

stat.ML2017★ 358 cited

Artificial Intelligence and Statistics

Bin Yu, Karl Kumbier

Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during generation of data, devel…

stat.ML2017★ 325 cited

Iterative Random Forests to detect predictive and stable high-order interactions

Sumanta Basu, Karl Kumbier, James B. Brown +1

Genomics has revolutionized biology, enabling the interrogation of whole transcriptomes, genome-wide binding sites for proteins, and many other molecular processes. However, indivi…