Modeling of an Insect Proprioceptor System based on Different Neuron Response Times. - Daniel Rodrigues de Lima; Michel Bessani; Philip L. Newland; Carlos Dias Maciel (BIOSIGNALS, 2016)

Impact of Operators' Performance on the Reliability of Cyber-Physical Power Distribution Systems. - Michel Bessani; Rodrigo Zempulski Fanucchi; Alexandre C. C. Delbem; Carlos Dias Maciel (CoRR, 2016)

Evaluation of a Dental Caries Clinical Decision Support System. - Michel Bessani; Daniel Rodrigues de Lima; Emery Cleiton Cabral Correia Lins; Carlos Dias Maciel (BIOSIGNALS, 2017)

Parallelism Strategies for Neurophysiological Delayed Transfer Entropy Data Processing - Towards Causal Inference in Big Data. - Jonas Rossi Dourado; José Roberto B. de A. Monteiro; Daniel Rodrigues de Lima; Michel Bessani; Carlos Dias Maciel (COMPLEXIS, 2017)

A hierarchical framework for complex networks robustness analysis to errors. - Michel Bessani; Julio A. D. Massignan; João B. A. London Jr.; Carlos Dias Maciel; Rodrigo Zempulski Fanucchi; Marcos H. M. Camillo (SysCon, 2017)

Robustness of reconfigurable complex systems by a multi-agent simulation: Application on power distribution systems. - Michel Bessani; Rafael Rodrigues Mendes Ribeiro; Giuliano Andrea Pagani; Marco Aiello 001; Carlos Dias Maciel (SysCon, 2018)

Dependence between cognitive impairment and metabolic syndrome applied to a Brazilian elderly dataset. - Tadeu Junior Gross; Renata Bezerra Araújo; Francisco Assis Carvalho Vale; Michel Bessani; Carlos Dias Maciel (Artif. Intell. Medicine, 2018)

An analytical threshold for combining Bayesian Networks. - Tadeu Junior Gross; Michel Bessani; Willian Darwin Junior; Renata Bezerra Araújo; Francisco Assis Carvalho Vale; Carlos Dias Maciel (Knowl. Based Syst., 2019)

Probabilistic Assessment of Power Distribution Systems Resilience Under Extreme Weather. - Michel Bessani; Julio A. D. Massignan; Rodrigo Zempulski Fanucchi; Marcos H. M. Camillo; João B. A. London Jr.; Alexandre C. B. Delbem; Carlos Dias Maciel (IEEE Syst. J., 2019)

Investigation of Initial Data and Optimizer in Real-Time Optimization Performance via Modifier Adaptation with Gaussian Processes*. - Victor S. P. Ruela; Michel Bessani (CCTA, 2021)

CO2 Emissions Forecasting in Multi-Source Power Generation Systems Using Dynamic Bayesian Network. - Talysson Manoel de Oliveira Santos; Jordão Natal de Oliveira Júnior; Michel Bessani; Carlos Dias Maciel (SysCon, 2021)

Evolving Dynamic Bayesian Networks by an Analytical Threshold for Dealing with Data Imputation in Time Series Dataset. - Talysson Manoel de Oliveira Santos; Ivan Nunes da Silva; Michel Bessani (Big Data Res., 2022)

Interpretable risk models for Sleep Apnea and Coronary diseases from structured and non-structured data. - Carlos Anderson Oliveira Silva; Rafael Gonzalez-Otero; Michel Bessani; Liliana Otero Mendoza; Cristiano Leite de Castro (Expert Syst. Appl., 2022)

Bayesian Inference Approach for Information Fusion in Distribution System State Estimation. - Julio A. D. Massignan; João B. A. London Jr.; Michel Bessani; Carlos Dias Maciel; Rodrigo Zempulski Fanucchi; Vladimiro Miranda (IEEE Trans. Smart Grid, 2022)

A model for optimal energy management in a microgrid using biogas. - Maria Izabel Santos; André L. Maravilha; Michel Bessani; Wadaed Uturbey; Lucas S. Batista (Evol. Intell., 2024)

Multi-Agent Genetic Algorithm for Bayesian networks structural learning. - João P. A. F. Campos; Itallo G. Machado; Michel Bessani (Knowl. Based Syst., 2025)