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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)

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FOLD-SE: Scalable Explainable AI., and . CoRR, (2022)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)Formalizing Informal Logic and Natural Language Deductivism., , , , , , , , , and 2 other author(s). ICLP Workshops, volume 2970 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Toward Semi-Automated Role Mapping for IoT Systems in Smart Cities., , , , and . ISC2, page 205-211. IEEE, (2019)A Smart Role Mapping Recommendation System., , , , and . COMPSAC (2), page 135-140. IEEE, (2019)FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data., and . FLOPS, volume 13215 of Lecture Notes in Computer Science, page 224-242. Springer, (2022)NeSyFOLD: A Framework for Interpretable Image Classification., , and . AAAI, page 4378-4387. AAAI Press, (2024)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)Superfast Selection for Decision Tree Algorithms., and . CoRR, (2024)