Madson Luiz Dantas Dias

Evolutionary support vector machines: A dual approach

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, M. L. D. Dias, 2016, CEC.

Evolutionary Support Vector Regression via Genetic Algorithms: A Dual Approach

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Shara S. A. Alves, 2017, IWANN.

Sparse Minimal Learning Machines Via L_1/2 Norm Regularization

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes, 2018, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).

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

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Amauri Holanda de Souza Júnior, 2018, NAFIPS.

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

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, M. L. D. Dias, 2016, ISDA.

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

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, M. L. D. Dias, 2017, Expert Syst. Appl..

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

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Amauri H. Souza Júnior, 2018, ESANN.

Fixed-Size Extreme Learning Machines Through Simulated Annealing

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Ananda L. Freire, 2017, Neural Processing Letters.

Optimally Selected Minimal Learning Machine

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, João P. P. Gomes, 2018, IDEAL.