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Logic-Based Explainable and Incremental Machine Learning.

, , , , , , , and . Prolog: The Next 50 Years, volume 13900 of Lecture Notes in Computer Science, Springer, (2023)

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Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs., , , , , and . CoRR, (2023)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)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)MACOptions: Multi-Agent Learning with Centralized Controller and Options Framework., , , and . CoRR, (2023)Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks., and . CoRR, (2023)NeSyFOLD: A System for Generating Logic-based Explanations from Convolutional Neural Networks., , and . CoRR, (2023)Reliable Natural Language Understanding with Large Language Models and Answer Set Programming., , , and . ICLP, volume 385 of EPTCS, page 274-287. (2023)Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks., , and . PADL, volume 14512 of Lecture Notes in Computer Science, page 134-150. Springer, (2024)NeSyFOLD: Extracting Logic Programs from Convolutional Neural Networks., , and . ICLP Workshops, volume 3437 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)