Mario Tasso Ribeiro Serra Neto

According to our database, Mario Tasso Ribeiro Serra Neto authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

2022

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

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

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

2019

Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization Exploration.

Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Vladimiro Miranda, Leonel M. Carvalho

Proceedings of the Progress in Artificial Intelligence, 2019

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

Proceedings of the 14th International Conference on Natural Computation, 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

Proceedings of the 2nd International Conference on Machine Learning and Soft Computing, 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

Proceedings of the Artificial Intelligence and Soft Computing, 2018

Deterministic Parameter Selection of Artificial Bee Colony Based on Diagonalization.

Marco Antônio Florenzano Mollinetti, Mario Tasso Ribeiro Serra Neto, Takahito Kuno

Proceedings of the Hybrid Intelligent Systems, 2018

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

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Evolutionary artificial bee colony for neural networks training.

Mario Tasso Ribeiro Serra Neto, Marco Antônio Florenzano Mollinetti, Rodrigo Lisbôa Pereira

Proceedings of the 13th International Conference on Natural Computation, 2017