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Hana Chockler

  1. Responsibility and blame: a structural-model approach
    2003/12/17 by Hana Chockler, Chockler, Hana, Joseph Y. Halpern +1 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.1 #Logic in Computer Science (cs.LO) #cs.AI #cs.LO
  2. Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
    2024/11/12 by Stefan Pranger, Hana Chockler, Pranger, Stefan +5 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  3. Ranking Policy Decisions
    2020/08/31 by Hadrien Pouget, Hana Chockler, Pouget, Hadrien +5 · 1 citation
    Computer Science · #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  4. Domain Knowledge in A*-Based Causal Discovery
    2022/08/17 by Steven Kleinegesse, Kleinegesse, Steven, Andrew R. Lawrence +3 · 1 citation
    Computer Science · #68T99 #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Rough Sets and Fuzzy Logic
  5. Counterfactual Influence in Markov Decision Processes
    2024/02/13 by Milad Kazemi, Jessica Lally, Kazemi, Milad +7 · 1 citation
    Decision Sciences · #Artificial Intelligence (cs.AI) #Data Quality and Management #FOS: Computer and information sciences #Simulation Techniques and Applications
  6. MRxaI: Black-Box Explainability for Image Classifiers in a Medical Setting
    2023/11/24 by Nathan Blake, Blake, Nathan, Hana Chockler +7 · 2 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging