An Explainable Forecasting System for Humanitarian Needs AssessmentRahul NairBo Schwartz Madsenet al.2023IAAI 2023Conference paper
Assessing Users' Ability To Modify And Communicate Ai Models' Decision Boundaries Via A Low-code, Rules-based ApproachDavid PiorkowskiInge Vejsbjerget al.2022INFORMS 2022Short paper
FROTE: Feedback Rule-Driven Oversampling for Editing ModelsOznur AlkanDennis Weiet al.2022MLSys 2022Conference paper
Boolean Decision Rules for Reinforcement Learning Policy SummarisationJames McCarthyRahul Nairet al.2022IJCAI 2022Workshop paper
Contrastive Explanations for Comparing Preferences of Reinforcement LearningJasmina GajcinRahul Nairet al.2022AAAI 2022Workshop paper
AIMEE: Interactive model maintenance with rule-based surrogatesOwen CornecRahul Nairet al.2021NeurIPS 2021Demo paper
Prospective Explanations: An Interactive Mechanism for Model UnderstandingRahul NairPierpaolo Tommasi2021NeurIPS 2021Demo paper
User Driven Model Adjustment via Boolean Rule ExplanationsElizabeth DalyMassimilliano Mattettiet al.2021AAAI 2021Conference paper
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor SignaturesSergiy ZhukJonathan Epperleinet al.2020MICCAI 2020Conference paper
Directly Interpretable AI Models With User ConstraintsRahul NairElizabeth Dalyet al.2020INFORMS 2020Conference paper