Dental anomaly detection using intraoral photos via deep learning R Ragodos, T Wang, C Padilla, JT Hecht, FA Poletta, IM Orioli, CJ Buxó, ... Scientific reports 12 (1), 11577, 2022 | 23 | 2022 |
Protox: Explaining a reinforcement learning agent via prototyping R Ragodos, T Wang, Q Lin, X Zhou Advances in Neural Information Processing Systems 35, 27239-27252, 2022 | 12 | 2022 |
From Model Explanation to Data Misinterpretation: Uncovering the Pitfalls of Post Hoc Explainers in Business Research R Ragodos, T Wang, L Feng arXiv preprint arXiv:2408.16987, 2024 | 1 | 2024 |
Disjunctive rule lists R Ragodos, T Wang INFORMS Journal on Computing 34 (6), 3259-3276, 2022 | 1 | 2022 |
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping B An, X Zhou, Z Zhou, R Ragodos, Z Xu, J Luo arXiv preprint arXiv:2412.15353, 2024 | | 2024 |
The Risk of Inferring Data Insights from Post hoc Explanations of Machine Learning Models R Ragodos, T Wang, L Feng, YJ Hu Available at SSRN, 2024 | | 2024 |
Author Correction: Dental anomaly detection using intraoral photos via deep learning (Scientific Reports,(2022), 12, 1,(11577), 10.1038/s41598-022-15788-1) R Ragodos, T Wang, C Padilla, JT Hecht, FA Poletta, IM Orioli, CJ Buxó, ... Scientific reports 12 (1), 13541, 2022 | | 2022 |
Author Correction: Dental anomaly detection using intraoral photos via deep learning R Ragodos, T Wang, C Padilla, JT Hecht, FA Poletta, IM Orioli, CJ Buxó, ... Scientific reports 12 (1), 13541, 2022 | | 2022 |
Explaining a Reinforcement Learning Agent via Prototyping-Supplementary Material RJ Ragodos, T Wang, Q Lin, X Zhou | | |