Ananda L. Freire

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.

Short-term memory mechanisms in neural network learning of robot navigation tasks: A case study

Guilherme A. Barreto, Ananda L. Freire, Marcus Veloso, 2009, 2009 6th Latin American Robotics Symposium (LARS 2009).

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).

Advances in Computational Intelligence

Pablo Rabanal, Fernando Rubio, Ananda L. Freire, 2012, Communications in Computer and Information Science.

Advances in Computational Intelligence

Pablo Rabanal, Fernando Rubio, Ananda L. Freire, 2019, Lecture Notes in Computer Science.

A Robust and Optimally Pruned Extreme Learning Machine

Ajalmar R. da Rocha Neto, Ananda L. Freire, 2016, ISDA.

REDES NEURAIS RECORRENTES PARA PREDIÇÃO RECURSIVA DE SÉRIES TEMPORAIS CAÓTICAS: UM ESTUDO COMPARATIVO

Guilherme A. Barreto, Ananda L. Freire, José Maria P. Menezes, 2016 .

On robust randomized neural networks for regression: a comprehensive review and evaluation

Ananda L. Freire, Ajalmar R. Rocha-Neto, Guilherme A. Barreto, 2020, Neural Computing and Applications.

Fixed-Size Extreme Learning Machines Through Simulated Annealing

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