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Lucas Rizzo
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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
642016
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
382017
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
352020
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
252019
Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning
L Longo, L Rizzo, P Dondio
Knowledge-Based Systems 211, 106514, 2021
202021
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
192018
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
162020
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
142018
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
112018
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
52020
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts
L Rizzo, L Longo
Information Fusion, 2022
42022
Evaluating the Impact of Defeasible Argumentation as a Modelling Technique for Reasoning under Uncertainty
L Rizzo
Technological University Dublin, 2020
42020
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
32011
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
22020
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
22013
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
12020
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
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