@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} }

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@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" }

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@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} }

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@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", }

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@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} }

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@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} }

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@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} }

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