Lucas Rizzo

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On Demonstrating the Impact of Defeasible Reasoning in Practice via a Multi-layer Argument-based Framework

Lucas Rizzo, 2017, AAMAS.

A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning

Luca Longo, Lucas Rizzo, Lucas Rizzo, 2018, AICS.

Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning

Luca Longo, Lucas Rizzo, Pierpaolo Dondio, 2021, Knowl. Based Syst..

Mental workload assessment: knowledge-bases based upon the features of the original NASA Task Load Index

Luca Longo, Lucas Rizzo, 2018 .

Evaluating the Impact of Defeasible Argumentation as a Modelling Technique for Reasoning under Uncertainty

Lucas Rizzo, Lucas Rizzo, 2020 .

On Demonstrating the Impact of Defeasible Reasoning via a multi-Layer Argument-based Framework (Doctoral Consortium)

Lucas Rizzo, Lucas Rizzo, 2017 .

Inferential Models of Mental Workload with Defeasible Argumentation and Non-monotonic Fuzzy Reasoning: a Comparative Study

Luca Longo, Lucas Rizzo, L. Longo, 2018, AI³@AI*IA.

Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile

Luca Longo, Sarah Jane Delany, Lucas Rizzo, 2016, AIAI.

Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust

Luca Longo, Lucas Rizzo, Pierpaolo Dondio, 2020, AICS.

An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems

Luca Longo, Lucas Rizzo, L. Longo, 2020, Expert Syst. Appl..

A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning

Luca Longo, Lucas Rizzo, L. Longo, 2018, AICS.

A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence

Luca Longo, Lucas Rizzo, Giulia Vilone, 2020, AICS.

LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study

Luca Longo, Lucas Rizzo, Bruno Ambrozio, 2020, AICS.

An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers

Luca Longo, Lucas Rizzo, Pierpaolo Dondio, 2018, AIAI.

A Comparative Study of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning for Elderly Survival Prediction Using Biomarkers

Luca Longo, Lucas Rizzo, Ljiljana Majnaric, 2018, AI*IA.

Representing and Inferring Mental Workload via Defeasible Reasoning: A Comparison with the NASA Task Load Index and the Workload Profile

Luca Longo, Lucas Rizzo, L. Longo, 2017, AI³@AI*IA.