Diego Parente Paiva Mesquita

A Minimal Learning Machine for Datasets with Missing Values

João Paulo Pordeus Gomes, Diego Parente Paiva Mesquita, Amauri H. Souza, 2015, ICONIP.

Extreme Learning Machines for Datasets with Missing Values Using the Unscented Transform

Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Diego Parente Paiva Mesquita, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Euclidean distance estimation in incomplete datasets

João P. P. Gomes, Diego Parente Paiva Mesquita, Juvêncio Santos Nobre, 2017, Neurocomputing.

Co-MLM: A SSL Algorithm Based on the Minimal Learning Machine

João Paulo Pordeus Gomes, Weslley L. Caldas, Diego Parente Paiva Mesquita, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Ensemble of Minimal Learning Machines for Pattern Classification

João Paulo Pordeus Gomes, Diego Parente Paiva Mesquita, Amauri Holanda Souza Júnior, 2015, IWANN.

Classification with reject option for software defect prediction

Ajalmar R. da Rocha Neto, Lincoln S. Rocha, João P. P. Gomes, 2016, Appl. Soft Comput..

Shrinkage k-Means: A Clustering Algorithm Based on the James-Stein Estimator

João Paulo Pordeus Gomes, Diego Parente Paiva Mesquita, Carlos Brito, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Radial Basis Function Neural Networks for Datasets with Missing Values

João Paulo Pordeus Gomes, Diego Parente Paiva Mesquita, 2016, ISDA.