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NeSyFOLD: A Framework for Interpretable Image Classification.

, , and . AAAI, page 4378-4387. AAAI Press, (2024)

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FOLD-SE: Scalable Explainable AI., and . CoRR, (2022)Prolog: Past, Present, and Future., , , , , , , , , and 3 other author(s). Prolog: The Next 50 Years, volume 13900 of Lecture Notes in Computer Science, Springer, (2023)grASP: A Graph Based ASP-Solver and Justification System., , and . CoRR, (2021)A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories., , and . CoRR, (2021)FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data., , and . Theory Pract. Log. Program., 22 (5): 658-677 (2022)AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning., , , , and . ICLP Workshops, volume 2970 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)FOLD-RM: A Scalable and Efficient Inductive Learning Algorithm for Multi-Category Classification of Mixed Data., , and . CoRR, (2022)FOLD-SE: An Efficient Rule-Based Machine Learning Algorithm with Scalable Explainability., and . PADL, volume 14512 of Lecture Notes in Computer Science, page 37-53. Springer, (2024)Logic-Based Explainable and Incremental Machine Learning., , , , , , , and . Prolog: The Next 50 Years, volume 13900 of Lecture Notes in Computer Science, Springer, (2023)NeSyFOLD: A Framework for Interpretable Image Classification., , and . AAAI, page 4378-4387. AAAI Press, (2024)