| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 11 | 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 |
| 10 | 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 |
| 9 | 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 |
| 8 | 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 |
| 7 | 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 |
| 6 | 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 |
| 5 | 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 |
| 4 | 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 |
| 3 | 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 |
| 2 | 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 |
| 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 |