Unbiased measurement of feature importance in tree-based methods Z Zhou, G Hooker ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (2), 1-21, 2021 | 89 | 2021 |
S-lime: Stabilized-lime for model explanation Z Zhou, G Hooker, F Wang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 88 | 2021 |
Approximation trees: statistical reproducibility in model distillation Y Zhou, Z Zhou, G Hooker Data Mining and Knowledge Discovery, 1-39, 2023 | 34* | 2023 |
-statistics and Variance Estimation Z Zhou, L Mentch, G Hooker Journal of Machine Learning Research, 2021 | 17* | 2021 |
Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning X Zhang, Z Zhou, Y Xu, X Zhao Journal of Transport Geography 114, 103782, 2024 | 3 | 2024 |
Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning X Zhang, X Yan, Z Zhou, Y Xu, X Zhao arXiv preprint arXiv:2209.07980, 2022 | 3 | 2022 |
Distilling black-box travel mode choice model for behavioral interpretation X Zhao, Z Zhou, X Yan, P Van Hentenryck arXiv preprint arXiv:1910.13930, 2019 | 1 | 2019 |
SILR: A New Exact Test for Demonstrating That an Effect Exists in Binary Trials RB Darlington, Z Zhou PsyArXiv, 2021 | | 2021 |
Statistical Inference for Machine Learning: Feature Importance, Uncertainty Quantification and Interpretation Stability Z Zhou Cornell University, 2021 | | 2021 |
V-STATISTICS AND VARIANCE ESTIMATION BY ZHENGZE ZHOU, LUCAS MENTCH 2 AND GILES HOOKER 3 Z ZHOU stat 1050, 7, 2020 | | 2020 |