| Modeling mental workload via rule-based expert system: a comparison with NASA-TLX and workload profile L Rizzo, P Dondio, SJ Delany, L Longo Artificial Intelligence Applications and Innovations: 12th IFIP WG 12.5 …, 2016 | 65 | 2016 |
| Representing and inferring mental workload via defeasible reasoning: a comparison with the NASA Task Load Index and the Workload Profile L Rizzo, L Longo Proceedings of the 1st Workshop on Advances In Argumentation In Artificial …, 2017 | 38 | 2017 |
| An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems L Rizzo, L Longo Expert Systems with Applications 147, 113220, 2020 | 37 | 2020 |
| Inferential models of mental workload with defeasible argumentation and non-monotonic fuzzy reasoning: a comparative study L Rizzo, L Longo Proceedings of the 2nd Workshop on Advances In Argumentation In Artificial …, 2019 | 25 | 2019 |
| Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning L Longo, L Rizzo, P Dondio Knowledge-Based Systems 211, 106514, 2021 | 20 | 2021 |
| A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence G Vilone, L Rizzo, L Longo 28th Irish Conference on Artificial Intelligence and Cognitive Science 2771 …, 2020 | 19 | 2020 |
| A Qualitative Investigation of the Degree of Explainability of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning L Rizzo, L Longo Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence …, 2018 | 19 | 2018 |
| An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers L Rizzo, L Majnaric, P Dondio, L Longo IFIP International Conference on Artificial Intelligence Applications and …, 2018 | 14 | 2018 |
| A comparative study of defeasible argumentation and non-monotonic fuzzy reasoning for elderly survival prediction using biomarkers L Rizzo, L Majnaric, L Longo AI* IA 2018–Advances in Artificial Intelligence: XVIIth International …, 2018 | 11 | 2018 |
| Self-reported data for mental workload modelling in human-computer interaction and third-level education L Rizzo, L Longo Data in Brief 30, 105433, 2020 | 5 | 2020 |
| Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts L Rizzo, L Longo Information Fusion, 2022 | 4 | 2022 |
| Evaluating the Impact of Defeasible Argumentation as a Modelling Technique for Reasoning under Uncertainty L Rizzo Technological University Dublin, 2020 | 4 | 2020 |
| Objetos de Aprendizagem de Matemática: uma experiência na iniciação científica de alunos de graduação MMF Pinto, FP Heitmann, TF Kawasaki, ÂM Guimarães, LC da Silva Luz, ... Revista Docência do Ensino Superior 1, 96-111, 2011 | 3 | 2011 |
| Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust L Rizzo, P Dondio, L Longo 28th Irish Conference on Artificial Intelligence and Cognitive Science 2771 …, 2020 | 2 | 2020 |
| Role Assignment in Wireless Sensor Networks Based on Vertex Coloring LM Rizzo, S Urrutia, AAF Loureiro 2013 IEEE Seventh International Symposium on Service-Oriented System …, 2013 | 2 | 2013 |
| LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study B Ambrozio, L Longo, L Rizzo 28th Irish Conference on Artificial Intelligence and Cognitive Science 2771 …, 2020 | 1 | 2020 |
| ArgFrame: A multi-layer, web, argument-based framework for quantitative reasoning L Rizzo Software Impacts 17, 100547, 2023 | | 2023 |
| A novel structured argumentation framework for improved explainability of classification tasks L Rizzo World Conference on Explainable Artificial Intelligence, 399-414, 2023 | | 2023 |
| LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study A Bruno, L Longo, L Rizzo Technological University Dublin, 2020 | | 2020 |
| Mortality Risk Factors in Community Dwelling Elderly - Fuzzy Knowledge-base L Majnaric, L Rizzo, L Longo | | 2018 |
Luca LongoTechnological University Dublin; Trinity College Dublin在 tudublin.ie 的电子邮件经过验证
