Madson L. D. Dias

According to our database, Madson L. D. Dias authored at least 12 papers between 2016 and 2020.

Collaborative distances:

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

2020

Parsimonious Minimal Learning Machine via Multiresponse Sparse Regression.

Madson L. D. Dias, Átilla N. Maia, Ajalmar R. da Rocha Neto, João P. P. Gomes

Int. J. Neural Syst., 2020

Anomaly Detection in Trajectory Data with Normalizing Flows.

Madson L. D. Dias, César Lincoln C. Mattos, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Wellington C. P. Silva

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Sparse minimal learning machine using a diversity measure minimization.

Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Fixed-Size Extreme Learning Machines Through Simulated Annealing.

Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Ananda L. Freire

Neural Process. Lett., 2018

A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines.

José A. V. Florêncio, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Amauri Holanda de Souza Júnior

Proceedings of the Fuzzy Information Processing, 2018

Optimally Selected Minimal Learning Machine.

Átilla N. Maia, Madson Luiz Dantas Dias, João P. P. Gomes, Ajalmar R. da Rocha Neto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Opposite neighborhood: a new method to select reference points of minimal learning machines.

Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Amauri H. Souza Júnior

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Sparse Minimal Learning Machines Via L_1/2 Norm Regularization.

Madson Luiz Dantas Dias, Ananda L. Freire, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Training soft margin support vector machines by simulated annealing: A dual approach.

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto

Expert Syst. Appl., 2017

Evolutionary Support Vector Regression via Genetic Algorithms: A Dual Approach.

Shara S. A. Alves, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Ananda L. Freire

Proceedings of the Advances in Computational Intelligence, 2017

2016

A Novel Simulated Annealing-Based Learning Algorithm for Training Support Vector Machines.

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto

Proceedings of the Intelligent Systems Design and Applications, 2016

Evolutionary support vector machines: A dual approach.

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto

Proceedings of the IEEE Congress on Evolutionary Computation, 2016