# Authors Title Details Date Pdf/Links/Bibtex Keywords
12Rizzo L., Longo L.Self-reported data for mental workload modelling in human-computer interaction and third-level education Data in Brief 2020 Knowledge-based systems Fuzzy reasoning Expert systems Mental workload Automated reasoning Argumentation theory
10.1016/j.dib.2020.105433
11Rizzo L. Dondio P., Longo L.Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust Proceedings for the 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7-8, 2020 2020 Defeasible Argumentation Argumentation Theory Explainable Artificial Intelligence Non-monotonic Reasoning Computational Trust
10Rizzo, L., Longo L.An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems Expert Systems with Applications 2020 Defeasible Argumentation Argumentation Theory Explainable Artificial Intelligence Non-monotonic Reasoning Fuzzy Logic Expert Systems Mental Workload
10.1016/j.eswa.2020.113220
9Rizzo L., Longo L.Inferential models of mental workload with defeasible argumentation and non-monotonic fuzzy reasoning: a comparative study 2nd Workshop on Advances In Argumentation In Artificial Intelligence, co-located with XVII International Conference of the Italian Association for Artificial Intelligence 2019 Argumentation Theory Non-monotonic Reasoning Fuzzy Logic Mental workload Defeasible Reasoning Modeling Artificial Intelligence
8Rizzo L., Longo L.A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science 2018 Defeasible Argumentation Non-monotonic Reasoning Fuzzy Reasoning Argumentation Theory Explainable Artificial Intelligence Artificial Intelligence Modeling
7Rizzo L., Majnaric L., Longo L.A comparative study of defeasible argumentation and non-monotonic fuzzy reasoning for elderly survival prediction using biomarkers International Conference of the Italian Association for Artificial Intelligence 2018 Argumentation Theory Non-monotonic Reasoning Defeasible Reasoning Fuzzy Reasoning Possibility Theory Biomarkers Modeling Artificial Intelligence
10.1007/978-3-030-03840-3_15
6Rizzo L., Majnaric L., Dondio P., Longo L.An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers IFIP International Conference on Artificial Intelligence Applications and Innovations 2018 Biomarkers Argumentation Theory Defeasible Reasoning Artificial Intelligence Modeling
10.1007/978-3-319-92007-8_33
5Longo L.A defeasible reasoning framework for human mental workload representation and assessment Behaviour & Information Technology 2015 Human Mental Workload Defeasible Reasoning Argumentation Theory Knowledge-Representation Modeling Artificial Intelligence
10.1080/0144929X.2015.1015166
4Longo L.Formalising Human Mental Workload as a Defeasible Computational Concept The University of Dublin, Trinity College (doctoral thesis) 2014 Mental Workload Defeasible Reasoning Argumentation Theory Knowledge Representation Nasa Task Load Index Workload Profile Human-Computer Interaction Artificial Intelligence Modeling
3Longo L., Hederman L.Argumentation theory for decision support in health-care: a comparison with machine learning International Conference on Brain and Health Informatics 2013 Argumentation Theory Decision Support Health-care Defeasible Reasoning Machine Learning Artificial Intelligence Modeling
2Longo L.Formalising human mental workload as non-monotonic concept for adaptive and personalised web-design International Conference on User Modeling, Adaptation, and Personalization 2012 Human Mental Workload Non-monotonic Reasoning Argumentation Theory Human-Computer Interaction Web Design
1Longo L,Kane B.; Hederman L.Argumentation theory in health care 25th International Symposium on Computer-Based Medical Systems 2012 Argumentation Theory Health Care Defeasible Reasoning Artificial Intelligencel
# Authors Title Details Date Pdf/Links/Bibtex Keywords