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Ronilo Ragodos
Ronilo Ragodos
Bestätigte E-Mail-Adresse bei uiowa.edu - Startseite
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Zitiert von
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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
232022
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
122022
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
12024
Disjunctive rule lists
R Ragodos, T Wang
INFORMS Journal on Computing 34 (6), 3259-3276, 2022
12022
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
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