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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)

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An Investigation into the Effects of Multiple Kernel Combinations on Solutions Spaces in Support Vector Machines., and . AIAI, volume 519 of IFIP Advances in Information and Communication Technology, page 157-167. Springer, (2018)Formalising Human Mental Workload as Non-monotonic Concept for Adaptive and Personalised Web-Design.. UMAP, volume 7379 of Lecture Notes in Computer Science, page 369-373. Springer, (2012)The Importance of Human Mental Workload in Web Design., , , and . WEBIST, page 403-409. SciTePress, (2012)Argumentation Theory for Decision Support in Health-Care: A Comparison with Machine Learning., and . Brain and Health Informatics, volume 8211 of Lecture Notes in Computer Science, page 168-180. Springer, (2013)Human-Computer Interaction and Human Mental Workload: Assessing Cognitive Engagement in the World Wide Web.. INTERACT (4), volume 6949 of Lecture Notes in Computer Science, page 402-405. Springer, (2011)Evaluating instructional designs with mental workload assessments in university classrooms., and . Behav. Inf. Technol., 41 (6): 1199-1229 (2022)Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts., and . CoRR, (2022)An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems., and . Expert Syst. Appl., (2020)An investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms., , and . CoRR, (2023)A novel structured argumentation framework for improved explainability of classification tasks., and . CoRR, (2023)