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On Demonstrating the Impact of Defeasible Reasoning in Practice via a Multi-layer Argument-based Framework.. AAMAS, стр. 1857-1858. ACM, (2017)Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning., , и . Knowl. Based Syst., (2021)Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts., и . Inf. Fusion, (2023)A Novel Structured Argumentation Framework for Improved Explainability of Classification Tasks.. xAI (3), том 1903 из Communications in Computer and Information Science, стр. 399-414. Springer, (2023)Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile., , , и . AIAI, том 475 из IFIP Advances in Information and Communication Technology, стр. 215-229. Springer, (2016)A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning., и . AICS, том 2259 из CEUR Workshop Proceedings, стр. 138-149. CEUR-WS.org, (2018)An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers., , , и . AIAI, том 519 из IFIP Advances in Information and Communication Technology, стр. 385-397. Springer, (2018)An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems., и . Expert Syst. Appl., (2020)Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts., и . CoRR, (2022)A novel structured argumentation framework for improved explainability of classification tasks., и . CoRR, (2023)