Lucas Middeldorf Rizzo

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Orientou

Produções bibliográficas

• Longo, Luca ; Rizzo, Lucas ; Dondio, Pierpaolo . Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning. KNOWLEDGE-BASED SYSTEMS , v. 211, p. 106514, 2021.

• Rizzo, Lucas ; Longo, Luca . An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems. EXPERT SYSTEMS WITH APPLICATIONS , v. 147, p. 113220, 2020.

• PINTO, M. M. F. ; Heitmann, F. P. ; KAWASAKI, T. F. ; GUIMARAES, A. M. ; LUZ, L. C. S. ; RIZZO, L. M. ; LOTT, F. Z. . Objetos de Aprendizagem de Matemática: uma experiência na iniciação científica de alunos de graduação. Revista Docência do Ensino Superior , v. 1, p. 1-15, 2011.

• Rizzo, Lucas ; Majnaric, Ljiljana ; Dondio, Pierpaolo ; Longo, Luca . An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers. IFIP Advances in Information and Communication Technology. 1ed.: Springer International Publishing, 2018, v. , p. 385-397.

• Rizzo, Lucas ; Majnaric, Ljiljana ; Longo, Luca . A Comparative Study of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning for Elderly Survival Prediction Using Biomarkers. Lecture Notes in Computer Science. 1ed.: Springer International Publishing, 2018, v. , p. 197-209.

• Rizzo, Lucas ; Dondio, Pierpaolo ; Delany, Sarah Jane ; Longo, Luca . Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile. IFIP Advances in Information and Communication Technology. 1ed.: Springer International Publishing, 2016, v. 475, p. 215-229.

• Rizzo, Lucas ; Dondio, Pierpaolo ; Longo, Luca . Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust intelligence. In: 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2020, Dublin. Proceedings for the 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2020.

• VILONE, G. ; Rizzo, Lucas ; Longo, Luca . A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence. In: 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2020, Dublin. Proceedings for the 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2020.

• AMBROZIO, B. ; Longo, Luca ; Rizzo, Lucas . LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study. In: 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2020, Dublin. Proceedings for the 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2020.

• Rizzo, Lucas ; Longo, Luca . Inferential models of mental workload with defeasible argumentation and non-monotonic fuzzy reasoning: a comparative study. In: 2nd Workshop on Advances In Argumentation In Artificial Intelligence, 2019, Trento. 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, 2019.

• Rizzo, Lucas ; Longo, Luca . A qualitative investigation of the degree of explainability of defeasible argumentation and non-monotonic fuzzy reasoning. In: 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2018, Dublin. Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2018.

• Rizzo, Lucas ; Longo, Luca . Representing and inferring mental workload via defeasible reasoning: a comparison with the NASA Task Load Index and the Workload Profile. In: 1st Workshop on Advances In Argumentation In Artificial Intelligence, 2017, Bari, Italy. 1st Workshop on Advances In Argumentation In Artificial Intelligence, 2017.

• RIZZO, LUCAS MIDDELDORF ; URRUTIA, SEBASTIAN ; LOUREIRO, ANTONIO A.F. . Role Assignment in Wireless Sensor Networks Based on Vertex Coloring. In: 2013 IEEE 7th International Symposium on Service Oriented System Engineering (SOSE), 2013, San Francisco. 2013 IEEE Seventh International Symposium on Service-Oriented System Engineering. p. 537.

• RIZZO, L. M. ; Sebastian Urrutia . Uma Heurística Grasp Para O Problema Estendido De Sequenciamento De Carros. In: Simpósio Brasileiro de Pesquisa Operacional, 2011, Ubatuba. Anais do SBPO, 2011.

• RIZZO, L. M. ; Sebastian Urrutia . A GRASP Heuristic to the Extended Car Sequencing Problem. In: Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2011), 2011, Phoenix. Proceedings of the 5th Multidisciplinary International Conference on Scheduling: Theory and Applications, 2011. p. 366-373.

• Rizzo, Lucas . Uma introdução a argumentação computacional e seu potencial para aumentar a aplicabilidade de algoritmos de aprendizado de máquina. 2021. (Apresentação de Trabalho/Conferência ou palestra).

• RIZZO, L. M. . A GRASP Heuristic to the Extended Car Sequencing Problem. 2011. (Apresentação de Trabalho/Congresso).

• RIZZO, L. M. ; LOTT, F. Z. . Ambientes de aprendizagem matemática a distância: fundamentação concepção e execução.. 2008. (Apresentação de Trabalho/Seminário).

• Rizzo, Lucas . Evaluating the Impact of Defeasible Argumentation as a Modelling Technique for Reasoning under Uncertainty. Technological University Dublin, 2020 (Thesis).

• Rizzo, Lucas . On Demonstrating the Impact of Defeasible Reasoning via a multi-Layer Argument-based Framework. Bari, Italy: 16th International Conference of the Italian Association for Artificial Intelligence, 2017 (Doctoral Consortium).

Outras produções

Projetos de pesquisa

• 2010 - 2010

  O problema estendido de sequenciamento de carros, Descrição: Desenvolvimento de uma heurística GRASP para resolução do problema estendido de sequenciamento de carros.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (1) . , Integrantes: Lucas Middeldorf Rizzo - Integrante / Sebastian Urrutia - Coordenador., Financiador(es): Conselho Nacional de Desenvolvimento Científico e Tecnológico - Bolsa., Número de produções C, T & A: 2

• 2008 - 2009

  Ambientes de Aprendizagem de Matemática a Distância: fundamentação, concepção e execução, Descrição: Planejar e elaborar ambientes de aprendizagem de matemática a distância, discutindo questões, teorias e experiências referentes à educação matemática a distância.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (2) / Mestrado acadêmico: (2) . , Integrantes: Lucas Middeldorf Rizzo - Integrante / Felipe Pereira Heitmann - Integrante / Marcia Maria Fusaro Pinto - Coordenador / Angelo de Moura Guimarães - Integrante / Jussara de Loiola Araújo - Integrante / Teresinha Fumi Kawasaki - Integrante / Luiz Carlos da Silva Luz - Integrante / Giislene Garcia Nora - Integrante., Financiador(es): Fundação de Amparo à Pesquisa do Estado de Minas Gerais - Bolsa., Número de produções C, T & A: 2

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