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FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data.

, и . FLOPS, том 13215 из Lecture Notes in Computer Science, стр. 224-242. Springer, (2022)

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FOLD-SE: Scalable Explainable AI., и . CoRR, (2022)A Smart Role Mapping Recommendation System., , , , и . COMPSAC (2), стр. 135-140. IEEE, (2019)Formalizing Informal Logic and Natural Language Deductivism., , , , , , , , , и 2 other автор(ы). ICLP Workshops, том 2970 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Toward Semi-Automated Role Mapping for IoT Systems in Smart Cities., , , , и . ISC2, стр. 205-211. IEEE, (2019)FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data., , и . Theory Pract. Log. Program., 22 (5): 658-677 (2022)AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning., , , , и . ICLP Workshops, том 2970 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)A Reliable Common-Sense Reasoning Socialbot Built Using LLMs and Goal-Directed ASP., , , , , и . CoRR, (2024)FOLD-SE: An Efficient Rule-Based Machine Learning Algorithm with Scalable Explainability., и . PADL, том 14512 из Lecture Notes in Computer Science, стр. 37-53. Springer, (2024)NeSyFOLD: A Framework for Interpretable Image Classification., , и . AAAI, стр. 4378-4387. AAAI Press, (2024)FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data., и . FLOPS, том 13215 из Lecture Notes in Computer Science, стр. 224-242. Springer, (2022)