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Co-authors

Ryan O'LoughlinQueens College (CUNY) Dept. of PhilosophyVerified email at qc.cuny.edu
Travis A. O'BrienIndiana UniversityVerified email at iu.edu

Dan Li

Dan Li

Baruch College, CUNY

Verified email at qc.cuny.edu

philosophy of science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machines Learn Better with Better Data Ontology: Lessons from Philosophy of Induction and Machine Learning Practice D Li Minds and Machines 33 (3), 429-450, 2023	4	2023
If a tree grows no ring and no one is around: how scientists deal with missing tree rings D Li Climatic Change 174 (1), 6, 2022	4	2022
Model robustness in economics: the admissibility and evaluation of tractability assumptions R O’Loughlin, D Li Synthese 200 (1), 32, 2022	2	2022
Moving beyond post-hoc XAI: Lessons learned from dynamical climate modeling R O'Loughlin, D Li, T O'Brien EGUsphere 2024, 1-24, 2024	1	2024
Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling RJ O'Loughlin, D Li, R Neale, TA O'Brien Geoscientific Model Development 18 (3), 787-802, 2025		2025
Frontiers in Climate Science: Inquiries Into Data and Methods D Li Indiana University, 2023		2023

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