| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 27 | Vilone 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 | @InProceedings{ViloneLongo2025, author="Vilone, Giulia and Longo, Luca", editor="Guidotti, Riccardo and Schmid, Ute and Longo, Luca", title="Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees", booktitle="Explainable Artificial Intelligence", year="2026", publisher="Springer Nature Switzerland", address="Cham", pages="89--112", isbn="978-3-032-08333-3" } [Close]
| 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 |
| 26 | Longo L., Berretta S., Verda D., Rizzo L. | Computational argumentation and automatic rule-generation for explainable data-driven modeling | IEEE Access | 2025 | @ARTICLE{Longo2025IEEEAccess, author={Longo, Luca and Berretta, Serena and Verda, Damiano and Rizzo, Lucas}, journal={IEEE Access}, title={Computational argumentation and automatic rule-generation for explainable data-driven modeling}, year={2025}, volume={}, number={}, pages={1-1}, doi={10.1109/ACCESS.2025.3618992}} [Close]
| Rule-base systems • Explainable Artificial Intelligence • Logic Learning Machine • Non-monotonic reasoning • Defeasible Reasoning • Explainability • Computational argumentation • Argumentation semantics • Explainability |
| 25 | Kumar S., Suiter J., Longo L. | Advancing Deliberative Discourse Measurement: The Intersection with Computational Abstract Argumentation in Discourse Quality Evaluations | Systems | 2025 |
@Article{KumarLongo2025, AUTHOR = {Kumar, Sanjay and Suiter, Jane and Longo, Luca}, TITLE = {Advancing Deliberative Discourse Measurement: The Intersection with Computational Abstract Argumentation in Discourse Quality Evaluations}, JOURNAL = {Systems}, VOLUME = {13}, YEAR = {2025}, NUMBER = {3}, ARTICLE-NUMBER = {204}, URL = {https://www.mdpi.com/2079-8954/13/3/204}, ISSN = {2079-8954}, DOI = {10.3390/systems13030204} } [Close]
| argumentation framework • discourse • defeasible reasoning • deliberation • argumentation • abstract semantics • deliberation quality |
| 24 | Rizzo 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 |
@Article{LongoRizzo2024, AUTHOR = {Rizzo, Lucas and Verda, Damiano and Berretta, Serena and Longo, Luca}, TITLE = {A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI}, JOURNAL = {Machine Learning and Knowledge Extraction}, VOLUME = {6}, YEAR = {2024}, NUMBER = {3}, PAGES = {2049--2073}, URL = {https://www.mdpi.com/2504-4990/6/3/101}, ISSN = {2504-4990}, DOI = {10.3390/make6030101} } [Close]
| rule-base AI • explainable artificial intelligence • computational argumentation • defeasible reasoning • Artificial Intelligence |
| 23 | Hamilton 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 |
@inproceedings{HamiltonLongo2024, author = {Hamilton, Kyle and Longo, Luca and Bozic, Bojan}, title = {GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text.}, year = {2024}, isbn = {9798400701726}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3589335.3651909}, doi = {10.1145/3589335.3651909}, booktitle = {Companion Proceedings of the ACM on Web Conference 2024}, pages = {1431–1440}, numpages = {10}, location = {, Singapore, Singapore, }, series = {WWW '24} } [Close]
| Natural Language Processing • Large Language Models • Annotation •
Rhetorical Devices • Propaganda Technique Detection • Argumentation |
| 22 | Vilone 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 |
@inproceedings{DBLP:conf/xai/ViloneL23a, author = {Giulia Vilone and Luca Longo}, editor = {Luca Longo}, title = {An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks}, booktitle = {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), Lisbon, Portugal, July 26-28, 2023}, series = {{CEUR} Workshop Proceedings}, volume = {3554}, pages = {53--58}, publisher = {CEUR-WS.org}, year = {2023}, url = {https://ceur-ws.org/Vol-3554/paper10.pdf} } [Close]
| Explainable artificial intelligence • Argumentation • Non-monotonic reasoning • Automatic attack extraction • Weighted argumentation frameworks • Inconsistency budget • Machine Learning • Neural Networks |
| 21 | Rizzo L., Longo L. | Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts | Information fusion | 2023 |
@article{RIZZOLongo2022, title = {Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts}, journal = {Information Fusion}, volume = {89}, pages = {537-566}, year = {2023}, issn = {1566-2535}, doi = {https://doi.org/10.1016/j.inffus.2022.08.025}, url = {https://www.sciencedirect.com/science/article/pii/S1566253522001245}, author = {Lucas Rizzo and Luca Longo}, keywords = {Defeasible argumentation, Knowledge-based systems, Non-monotonic reasoning, Argumentation theory, Fuzzy logic, Expert systems, Computational trust} } [Close]
| Defeasible Argumentation • Knowledge-based Systems • Non-monotonic Reasoning • Fuzzy Logic • Expert Systems • Computational Trust |
| 20 | Vilone 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 | @inproceedings{ViloneLongo2022XAIArg, author = {Giulia Vilone and Luca Longo}, title = {A global model-agnostic XAI method for the automatic formation of an abstract argumentation framework and its objective evaluation.}, booktitle = {1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022)}, series = {{CEUR} Workshop Proceedings}, volume = {3209}, publisher = {CEUR-WS.org}, year = {2022}, url = {http://ceur-ws.org/Vol-3209/2119.pdf} } [Close]
| Explainable artificial intelligence • Argumentation • Non-monotonic reasoning • Method evaluation • Metrics
of explainability |
| 19 | Vilone 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 |
@inproceedings{ViloneLongo2022, author = {Giulia Vilone and Luca Longo}, editor = {Ilias Maglogiannis and Lazaros Iliadis and John Macintyre and Paulo Cortez}, title = {A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence}, booktitle = {Artificial Intelligence Applications and Innovations - 18th {IFIP} {WG} 12.5 International Conference, {AIAI} 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings, Part {I}}, series = {{IFIP} Advances in Information and Communication Technology}, volume = {646}, pages = {447--460}, publisher = {Springer}, year = {2022}, url = {https://doi.org/10.1007/978-3-031-08333-4\_36}, doi = {10.1007/978-3-031-08333-4\_36} } [Close]
| Explainable Artificial Intelligence • Argumentation • Human-centred evaluation •
Non-monotonic reasoning • Explainability |
| 18 | Longo L., Rizzo L. Dondio P. | Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning | Knowledge-Based Systems | 2021 |
@article{LONGO2021106514, title = "Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning", journal = "Knowledge-Based Systems", volume = "211", pages = "106514", year = "2021", issn = "0950-7051", doi = "https://doi.org/10.1016/j.knosys.2020.106514", url = "http://www.sciencedirect.com/science/article/pii/S0950705120306432", author = "Luca Longo and Lucas Rizzo and Pierpaolo Dondio", keywords = "Defeasible reasoning, Non-monotonic reasoning, Fuzzy logic, Argumentation, Empirical research, Knowledge-representation, Mental workload" } [Close]
| Defeasible reasoning •
Non-monotonic reasoning •
Fuzzy logic •
Argumentation •
Empirical research •
Knowledge-representation •
Mental workload. |
| 17 | Rizzo L., Longo L. | Self-reported data for mental workload modelling in human-computer interaction and third-level education | Data in Brief | 2020 |
@article{RIZZO2020105433, title = {Self-reported data for mental workload modelling in human-computer interaction and third-level education}, journal = {Data in Brief}, volume = {30}, pages = {105433}, year = {2020}, issn = {2352-3409}, doi = {https://doi.org/10.1016/j.dib.2020.105433}, url = {https://www.sciencedirect.com/science/article/pii/S2352340920303279}, author = {Lucas Rizzo and Luca Longo}, keywords = {Knowledge-based systems, Fuzzy reasoning, Expert systems, Mental workload, Automated reasoning, Argumentation theory} } [Close]
| Knowledge-based systems •
Fuzzy reasoning •
Expert systems •
Mental workload •
Automated reasoning •
Argumentation theory |
| 16 | Rizzo 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 |
@inproceedings{DBLP:conf/aics/RizzoDL20, author = {Lucas Rizzo and Pierpaolo Dondio and Luca Longo}, editor = {Luca Longo and Lucas Rizzo and Elizabeth Hunter and Arjun Pakrashi}, title = {Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust}, booktitle = {Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020}, series = {{CEUR} Workshop Proceedings}, volume = {2771}, pages = {37--48}, publisher = {CEUR-WS.org}, year = {2020}, url = {http://ceur-ws.org/Vol-2771/AICS2020\_paper\_13.pdf} } [Close]
| Defeasible Argumentation • Argumentation Theory • Explainable
Artificial Intelligence • Non-monotonic Reasoning • Computational Trust |
| 15 | Dondio P., Longo L. | Beyond reasonable doubt: a proposal for undecidedness blocking in abstract argumentation | Intelligenza Artificiale | 2020 |
@article{DondioLongo2019, author = {Pierpaolo Dondio and Luca Longo}, title = {Beyond reasonable doubt: {A} proposal for undecidedness blocking in abstract argumentation}, journal = {Intelligenza Artificiale}, volume = {13}, number = {2}, pages = {123--135}, year = {2019}, url = {https://doi.org/10.3233/IA-190030}, doi = {10.3233/IA-190030}, } [Close]
| Abstract argumentation semantics • ambiguity blocking • standard of proofs • undecidedness • Artificial Intelligence |
| 14 | Dondio P., Longo L., Bistarelli S. | Preface to the Special Issue on Advances in Argumentation in Artificial Intelligence | Intelligenza Artificiale | 2020 |
@article{DondioLongoBistarelli2019, author = {Pierpaolo Dondio and Luca Longo and Stefano Bistarelli}, title = {Preface to the Special Issue on Advances in Argumentation in Artificial Intelligence}, journal = {Intelligenza Artificiale}, volume = {13}, number = {2}, pages = {121--122}, year = {2019}, url = {https://doi.org/10.3233/IA-190035}, doi = {10.3233/IA-190035}, } [Close]
| Artificial Intelligence • Argumentation |
| 13 | Rizzo, 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 |
@article{RizzoLongo2020aee, title = "An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems", journal = "Expert Systems with Applications", pages = "113-220", year = "2020", issn = "0957-4174", doi = "https://doi.org/10.1016/j.eswa.2020.113220", url = "http://www.sciencedirect.com/science/article/pii/S0957417420300464", author = "Lucas Rizzo and Luca Longo", keywords = "Defeasible Argumentation, Argumentation Theory, Explainable Artificial Intelligence, Non-monotonic Reasoning, Fuzzy Logic, Expert Systems, Mental Workload", } [Close]
| Defeasible Argumentation •
Argumentation Theory •
Explainable Artificial Intelligence •
Non-monotonic Reasoning •
Fuzzy Logic •
Expert Systems •
Mental Workload |
| 12 | Rizzo 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 |
@inproceedings{RizzoL18Inferential, author = {Lucas Rizzo and Luca Longo}, title = {Inferential Models of Mental Workload with Defeasible Argumentation and Non-monotonic Fuzzy Reasoning: a Comparative Study}, booktitle = {Proceedings of the 2nd Workshop on Advances In Argumentation In Artificial Intelligence, co-located with {XVII} International Conference of the Italian Association for Artificial Intelligence, AI{\({^3}\)}@AI*IA 2018, 20-23 November 2018, Trento, Italy}, pages = {11--26}, year = {2018} } [Close]
| Argumentation Theory • Non-monotonic Reasoning • Fuzzy Logic • Mental workload • Defeasible Reasoning • Modeling • Artificial Intelligence |
| 11 | Rizzo 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 |
@inproceedings{RizzoL18Explainability, author = {Lucas Rizzo and Luca Longo}, title = {A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning}, booktitle = {Proceedings for the 26th {AIAI} Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, Dublin, Ireland, December 6-7th, 2018.}, pages = {138--149}, year = {2018} } [Close]
| Defeasible Argumentation • Non-monotonic Reasoning • Fuzzy Reasoning • Argumentation Theory • Explainable Artificial Intelligence • Artificial Intelligence • Modeling |
| 10 | Rizzo 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 |
@inproceedings{rizzo2018comparative, title={A comparative study of defeasible argumentation and non-monotonic fuzzy reasoning for elderly survival prediction using biomarkers}, author={Rizzo, Lucas and Majnaric, Ljiljana and Longo, Luca}, booktitle={International Conference of the Italian Association for Artificial Intelligence}, pages={197--209}, year={2018}, organization={Springer} } [Close]
| Argumentation Theory • Non-monotonic Reasoning • Defeasible Reasoning • Fuzzy Reasoning • Possibility Theory • Biomarkers • Modeling • Artificial Intelligence |
| 9 | Rizzo 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 |
@inproceedings{rizzo2018investigation, title={An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers}, author={Rizzo, Lucas and Majnaric, Ljiljana and Dondio, Pierpaolo and Longo, Luca}, booktitle={IFIP International Conference on Artificial Intelligence Applications and Innovations}, pages={385--397}, year={2018}, organization={Springer} } [Close]
| Biomarkers • Argumentation Theory • Defeasible Reasoning • Artificial Intelligence • Modeling |
| 8 | Rizzo 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 |
@inproceedings{rizzo2017representing, title={Representing and inferring mental workload via defeasible reasoning: a comparison with the NASA Task Load Index and the Workload Profile}, author={Rizzo, Lucas Middeldorf and Longo, Luca}, booktitle={Proceedings of the 1st Workshop on Advances In Argumentation In Artificial Intelligence AI^3@AI*IA}, year={2017}, publisher={CEURS} } [Close]
| Mental Workload Modeling • Defeasible Reasoning • Nasa Task Load Index • Workload Profile • Artificial Intelligence • Modeling |
| 7 | Longo L. | Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integration with Machine Learning | Machine Learning for Health Informatics | 2016 |
@incollection{longo2016argumentation, title={Argumentation for knowledge representation, conflict resolution, defeasible inference and its integration with machine learning}, author={Longo, Luca}, booktitle={Machine Learning for Health Informatics}, pages={183--208}, year={2016}, publisher={Springer} } [Close]
| Defeasible Reasoning • Argumentation • Conflict Resolution •
Knowledge-representation • Interactive Machine Learning • Medicine • Artificial Intelligence |
| 6 | Longo L. | A defeasible reasoning framework for human mental workload representation and assessment | Behaviour & Information Technology | 2015 |
@article{longo2015defeasible, title={A defeasible reasoning framework for human mental workload representation and assessment}, author={Longo, Luca}, journal={Behaviour \& Information Technology}, volume={34}, number={8}, pages={758--786}, year={2015}, publisher={Taylor \& Francis} } [Close]
| Human Mental Workload • Defeasible Reasoning • Argumentation Theory • Knowledge-Representation • Modeling • Artificial Intelligence |
| 5 | Longo 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 |
@inproceedings{longo2014defeasible, title={Defeasible reasoning and argument-based systems in medical fields: An informal overview}, author={Longo, Luca and Dondio, Pierpaolo}, booktitle={Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on}, pages={376--381}, year={2014}, organization={IEEE} } [Close]
| Defeasible Reasoning • Argument-based systems • Medicine • Artificial Intelligence • Argumentation |
| 4 | Longo L. | Formalising Human Mental Workload as a Defeasible Computational Concept | The University of Dublin, Trinity College (doctoral thesis) | 2014 |
@phdthesis{longo2014formalising, title={Formalising Human Mental Workload as a Defeasible Computational Concept}, author={Longo, Luca}, year={2014}, school={Trinity College} } [Close]
| Mental Workload • Defeasible Reasoning • Argumentation Theory • Knowledge Representation • Nasa Task Load Index • Workload Profile • Human-Computer Interaction • Artificial Intelligence • Modeling |
| 3 | Longo L., Hederman L. | Argumentation theory for decision support in health-care: a comparison with machine learning | International Conference on Brain and Health Informatics | 2013 |
@inproceedings{longo2013argumentation, title={Argumentation theory for decision support in health-care: a comparison with machine learning}, author={Longo, Luca and Hederman, Lucy}, booktitle={International Conference on Brain and Health Informatics}, pages={168--180}, year={2013}, organization={Springer} } [Close]
| Argumentation Theory • Decision Support • Health-care • Defeasible Reasoning • Machine Learning • Artificial Intelligence • Modeling |
| 2 | Longo L. | Formalising human mental workload as non-monotonic concept for adaptive and personalised web-design | International Conference on User Modeling, Adaptation, and Personalization | 2012 |
@inproceedings{longo2012formalising, title={Formalising human mental workload as non-monotonic concept for adaptive and personalised web-design}, author={Longo, Luca}, booktitle={International Conference on User Modeling, Adaptation, and Personalization}, pages={369--373}, year={2012}, organization={Springer} } [Close]
| Human Mental Workload • Non-monotonic Reasoning • Argumentation Theory • Human-Computer Interaction • Web Design |
| 1 | Longo L,Kane B.; Hederman L. | Argumentation theory in health care | 25th International Symposium on Computer-Based Medical Systems | 2012 |
@inproceedings{longo2012argumentation, title={Argumentation theory in health care}, author={Longo, Luca and Kane, Bridget and Hederman, Lucy}, booktitle={Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on}, pages={1--6}, year={2012}, organization={IEEE} } [Close]
| Argumentation Theory • Health Care • Defeasible Reasoning • Artificial Intelligencel |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |