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On Demonstrating the Impact of Defeasible Reasoning in Practice via a Multi-layer Argument-based Framework.

. AAMAS, page 1857-1858. ACM, (2017)

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On Demonstrating the Impact of Defeasible Reasoning in Practice via a Multi-layer Argument-based Framework.. AAMAS, page 1857-1858. ACM, (2017)A Comparative Study of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning for Elderly Survival Prediction Using Biomarkers., , and . AI*IA, volume 11298 of Lecture Notes in Computer Science, page 197-209. Springer, (2018)Representing and Inferring Mental Workload via Defeasible Reasoning: A Comparison with the NASA Task Load Index and the Workload Profile., and . AI³@AI*IA, volume 2012 of CEUR Workshop Proceedings, page 126-140. CEUR-WS.org, (2017)An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems., and . Expert Syst. Appl., (2020)Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile., , , and . AIAI, volume 475 of IFIP Advances in Information and Communication Technology, page 215-229. Springer, (2016)An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers., , , and . AIAI, volume 519 of IFIP Advances in Information and Communication Technology, page 385-397. Springer, (2018)A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning., and . AICS, volume 2259 of CEUR Workshop Proceedings, page 138-149. CEUR-WS.org, (2018)Inferential Models of Mental Workload with Defeasible Argumentation and Non-monotonic Fuzzy Reasoning: a Comparative Study., and . AI³@AI*IA, volume 2296 of CEUR Workshop Proceedings, page 11-26. CEUR-WS.org, (2018)Role Assignment in Wireless Sensor Networks Based on Vertex Coloring., , and . SOSE, page 537-545. IEEE Computer Society, (2013)