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Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix).. CoRR, (2020)Interpreting Neural Networks as Quantitative Argumentation Frameworks.. AAAI, page 6463-6470. AAAI Press, (2021)On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI., , and . ArgXAI@COMMA, volume 3209 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Learning Gradual Argumentation Frameworks using Meta-heuristics., , , and . ArgML@COMMA, volume 3208 of CEUR Workshop Proceedings, page 96-108. CEUR-WS.org, (2022)Robust Knowledge Extraction from Large Language Models using Social Choice Theory., , , , and . AAMAS, page 1593-1601. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report)., , and . CoRR, (2024)Towards Statistical Reasoning with Ontology Embeddings., , , , , , and . ISWC (Posters/Demos/Industry), volume 3632 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Faithful Embeddings for Eℒ++ Knowledge Bases., , , , and . ISWC, volume 13489 of Lecture Notes in Computer Science, page 22-38. Springer, (2022)Generalizing Complete Semantics to Bipolar Argumentation Frameworks.. ECSQARU, volume 12897 of Lecture Notes in Computer Science, page 130-143. Springer, (2021)Extending Modular Semantics for Bipolar Weighted Argumentation.. AAMAS, page 1722-1730. International Foundation for Autonomous Agents and Multiagent Systems, (2019)