| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 12 | 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 |
| 11 | 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 |
| 10 | 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 |
| 9 | 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 |
| 8 | 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 |
| 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 | 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 |
| 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 |