Madson Luiz Dantas Dias

11 papers B 3C 1Journal 3Unranked 4

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Anomaly Detection in Trajectory Data with Normalizing Flows. CoRR Madson Luiz Dantas Dias, César Lincoln C. Mattos, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Wellington C. P. Silva
2019	B	`conf`	Sparse minimal learning machine using a diversity measure minimization. ESANN Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen
2018	—	`conf`	A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines. NAFIPS José A. V. Florêncio, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Amauri Holanda de Souza Júnior
2018	J	`jnl`	Fixed-Size Extreme Learning Machines Through Simulated Annealing. Neural Process. Lett. Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Ananda L. Freire
2018	B	`conf`	Opposite neighborhood: a new method to select reference points of minimal learning machines. ESANN Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Amauri H. Souza Júnior
2018	—	`conf`	Optimally Selected Minimal Learning Machine. IDEAL (1) Átilla N. Maia, Madson Luiz Dantas Dias, João P. P. Gomes, Ajalmar R. da Rocha Neto
2018	—	`conf`	Sparse Minimal Learning Machines Via L_1/2 Norm Regularization. BRACIS Madson Luiz Dantas Dias, Ananda L. Freire, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
2017	—	`conf`	Evolutionary Support Vector Regression via Genetic Algorithms: A Dual Approach. IWANN (1) Shara S. A. Alves, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Ananda L. Freire
2017	J	`jnl`	Training soft margin support vector machines by simulated annealing: A dual approach. Expert Syst. Appl. Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto
2016	C	`conf`	A Novel Simulated Annealing-Based Learning Algorithm for Training Support Vector Machines. ISDA Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto
2016	B	`conf`	Evolutionary support vector machines: A dual approach. CEC Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto