# Authors Title Details Date Pdf/Links/Bibtex Keywords
27Vilone G., Longo L. Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees eXplainable Artificial Intelligence, The World Conference (xAI-2025) 2025 Logical Analysis Graph Theory Graph Theory in Probability Machine Learning Reasoning Symbolic AI Explainable AI Surrogate models Computational Argumentation Rule-based systems Decision-trees Dense Neural Networks Deep learning
10.1007/978-3-032-08333-3_5
26Longo L., Berretta S., Verda D., Rizzo L.Computational argumentation and automatic rule-generation for explainable data-driven modeling IEEE Access 2025 Rule-base systems Explainable Artificial Intelligence Logic Learning Machine Non-monotonic reasoning Defeasible Reasoning Explainability Computational argumentation Argumentation semantics Explainability
10.1109/ACCESS.2025.3618992
25Kumar S., Suiter J., Longo L.Advancing Deliberative Discourse Measurement: The Intersection with Computational Abstract Argumentation in Discourse Quality Evaluations Systems 2025 argumentation framework discourse defeasible reasoning deliberation argumentation abstract semantics deliberation quality
10.3390/systems13030204
24Rizzo L., Verda D., Berretta S., Longo L. A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI Machine Learning and Knowledge Extraction 2024 rule-base AI explainable artificial intelligence computational argumentation defeasible reasoning Artificial Intelligence
10.3390/make6030101
23Hamilton K., Longo L., Bozic B.GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text. WWW '24: Companion Proceedings of the ACM on Web Conference 2024 2024 Natural Language Processing Large Language Models Annotation Rhetorical Devices Propaganda Technique Detection Argumentation
10.1145/3589335.3651909
22Vilone G., Longo L. An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023) 2023 Explainable artificial intelligence Argumentation Non-monotonic reasoning Automatic attack extraction Weighted argumentation frameworks Inconsistency budget Machine Learning Neural Networks
21Rizzo L., Longo L.Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts Information fusion 2023 Defeasible Argumentation Knowledge-based Systems Non-monotonic Reasoning Fuzzy Logic Expert Systems Computational Trust
10.1016/j.inffus.2022.08.025
20Vilone G. Longo L.A global model-agnostic XAI method for the automatic formation of an abstract argumentation framework and its objective evaluation. 1st Int. Workshop on Argumentation for eXplainable AI (with 9th Int. Conference on Computational Models of Argument, COMMA 2022) 2022 Explainable artificial intelligence Argumentation Non-monotonic reasoning Method evaluation Metrics of explainability
19Vilone G., Longo L.A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence. Artificial Intelligence Applications and Innovations - 18th IFIP WG 12.5 International Conference 2022 Explainable Artificial Intelligence Argumentation Human-centred evaluation Non-monotonic reasoning Explainability
10.1007/978-3-031-08333-4_36
18Longo L., Rizzo L. Dondio P.Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning Knowledge-Based Systems 2021 Defeasible reasoning Non-monotonic reasoning Fuzzy logic Argumentation Empirical research Knowledge-representation Mental workload.
10.1016/j.knosys.2020.106514
17Rizzo 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
16Rizzo 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
15Dondio P., Longo L.Beyond reasonable doubt: a proposal for undecidedness blocking in abstract argumentation Intelligenza Artificiale 2020 Abstract argumentation semantics ambiguity blocking standard of proofs undecidedness Artificial Intelligence
10.3233/IA-190030
14Dondio P., Longo L., Bistarelli S.Preface to the Special Issue on Advances in Argumentation in Artificial Intelligence Intelligenza Artificiale 2020 Artificial Intelligence Argumentation
10.3233/IA-190035
13Rizzo, 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
12Rizzo 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
11Rizzo 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
10Rizzo 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
9Rizzo 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
8Rizzo L., Longo L.Representing and inferring mental workload via defeasible reasoning: a comparison with the NASA Task Load Index and the Workload Profile 1st Workshop on Advances In Argumentation In Artificial Intelligence 2017 Mental Workload Modeling Defeasible Reasoning Nasa Task Load Index Workload Profile Artificial Intelligence Modeling
7Longo L.Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integration with Machine Learning Machine Learning for Health Informatics 2016 Defeasible Reasoning Argumentation Conflict Resolution Knowledge-representation Interactive Machine Learning Medicine Artificial Intelligence
6Longo 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
5Longo L.,; Dondio P.Defeasible reasoning and argument-based systems in medical fields: An informal overview IEEE 27th International Symposium on Computer-Based Medical Systems 2014 Defeasible Reasoning Argument-based systems Medicine Artificial Intelligence Argumentation
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