Evolutionary support vector machines: A dual approach. - Madson Luiz Dantas Dias; Ajalmar R. da Rocha Neto (CEC, 2016)

A Novel Simulated Annealing-Based Learning Algorithm for Training Support Vector Machines. - Madson Luiz Dantas Dias; Ajalmar R. da Rocha Neto (ISDA, 2016)

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 (IWANN (1), 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)

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 (BRACIS, 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 (ESANN, 2018)

Optimally Selected Minimal Learning Machine. - Átilla N. Maia; Madson Luiz Dantas Dias; João P. P. Gomes; Ajalmar R. da Rocha Neto (IDEAL (1), 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 (NAFIPS, 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)

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 (ESANN, 2019)

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 (IJCNN, 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)

Edge AI for Internet of Medical Things: A literature review. - Atslands Rego da Rocha; Matheus R. Monteiro; César L. C. Mattos; Madson L. D. Dias; Jorge Barbosa Soares; Regis Pires Magalhães; José A. F. de Macêdo (Comput. Electr. Eng., 2024)