Evolutionary artificial bee colony for neural networks training. - Mario Tasso Ribeiro Serra Neto; Marco Antônio Florenzano Mollinetti; Rodrigo Lisbôa Pereira (ICNC-FSKD, 2017)

Parametric Analysis of Iterated Game Environments as Social Interaction Model for Genetic Algorithm to Solve Constrained Engineering Problems. - Rodrigo Lisbôa Pereira; Marco Antônio Florenzano Mollinetti; Mario Tasso Ribeiro Serra Neto; Adilson de Almeida Neto; Daniel Leal Souza; Edson Koiti Kudo Yasojima; Otávio Noura Teixeira; Roberto Célio Limão de Oliveira (CEC, 2018)

Deterministic Parameter Selection of Artificial Bee Colony Based on Diagonalization. - Marco Antônio Florenzano Mollinetti; Mario Tasso Ribeiro Serra Neto; Takahito Kuno (HIS, 2018)

Evolutionary Quick Artificial Bee Colony for Constrained Engineering Design Problems. - Otávio Noura Teixeira; Mario Tasso Ribeiro Serra Neto; Demison Rolins de Souza Alves; Marco Antônio Florenzano Mollinetti; Fabio dos Santos Ferreira; Daniel Leal Souza; Rodrigo Lisbôa Pereira (ICAISC (2), 2018)

SIACO: a novel algorithm based on ant colony optimization and game theory for travelling salesman problem. - Demison Rolins de Souza Alves; Mario Tasso Ribeiro Serra Neto; Fabio dos Santos Ferreira; Otávio Noura Teixeira (ICMLSC, 2018)

CEMCO: A Novel Competitive Evolutionary Multi-Colony Optimization Algorithm for Constrained Problems. - Mario Tasso Ribeiro Serra Neto; Marco Antônio Florenzano Mollinetti; Demison Rolins de Souza Alves; Rodrigo Lisbôa Pereira; Otávio Noura Teixeira (ICNC-FSKD, 2018)

Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization Exploration. - Mario Tasso Ribeiro Serra Neto; Marco A. F. Mollinetti; Vladimiro Miranda; Leonel M. Carvalho (EPIA (1), 2019)

Game Theory and Social Interaction for Selection and Crossover Pressure Control in Genetic Algorithms: An Empirical Analysis to Real-Valued Constrained Optimization. - Rodrigo Lisbôa Pereira; Daniel Leal Souza; Marco Antônio Florenzano Mollinetti; Mario Tasso Ribeiro Serra Neto; Edson Koiti Kudo Yasojima; Otávio Noura Teixeira; Roberto Célio Limão de Oliveira (IEEE Access, 2020)

A-DVM: A Self-Adaptive Variable Matrix Decision Variable Selection Scheme for Multimodal Problems. - Marco Antônio Florenzano Mollinetti; Bernardo Bentes Gatto; Mario Tasso Ribeiro Serra Neto; Takahito Kuno (Entropy, 2020)

Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract). - Mario Tasso Ribeiro Serra Neto; Marco A. F. Mollinetti; Inês Dutra (AAAI, 2021)

Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method. - Mario T. R. Serra Neto; Inês Dutra; Marco Antônio Florenzano Mollinetti (IJCNN, 2022)

Dynamic Interconnection Approach With BLX-Based Search Applied to Multi-Swarm Optimizer: An Empirical Analysis to Real Constrained Optimization. - Daniel Leal Souza; Rodrigo Lisbôa Pereira; Mario T. R. Serra Neto; Marco A. F. Mollinetti; Otávio Noura Teixeira; Roberto Célio Limão de Oliveira (IEEE Access, 2023)

HAL 9000: Skynet's Risk Manager. - Tadeu Freitas; Mario Tasso Ribeiro Serra Neto; Inês Dutra; João Soares; Manuel Eduardo Correia; Rolando Martins (CoRR, 2023)

Map-Optimize-Learn: A Data Transformation, Feature Selection and Deep Learning Based Strategy to Improve Predictions on Tabular Dataset - Mario Tasso Ribeiro Serra Neto (2024)