Diego P. P. Mesquita

18 papers B 3Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Towards automatic labeling of exception handling bugs: A case study of 10 years bug-fixing in Apache Hadoop. Empir. Softw. Eng. Antônio da Silva, Renan Gomes Vieira, Diego P. P. Mesquita, João Paulo Pordeus Gomes, Lincoln S. Rocha
2020	J	`jnl`	A sparse linear regression model for incomplete datasets. Pattern Anal. Appl. Marcelo B. A. Veras, Diego P. P. Mesquita, César Lincoln C. Mattos, João P. P. Gomes
2020	J	`jnl`	LS-SVR as a Bayesian RBF Network. IEEE Trans. Neural Networks Learn. Syst. Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
2019	J	`jnl`	Artificial Neural Networks with Random Weights for Incomplete Datasets. Neural Process. Lett. Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues
2019	J	`jnl`	Gaussian kernels for incomplete data. Appl. Soft Comput. Diego P. P. Mesquita, João P. P. Gomes, Francesco Corona, Amauri Holanda de Souza Júnior, Juvêncio S. Nobre
2019	J	`jnl`	LS-SVR as a Bayesian RBF network. CoRR Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
2018	J	`jnl`	Building selective ensembles of Randomization Based Neural Networks with the successive projections algorithm. Appl. Soft Comput. Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues, Saulo A. F. Oliveira, Roberto Kawakami Harrop Galvão
2018	J	`jnl`	Fast Co-MLM: An Efficient Semi-supervised Co-training Method Based on the Minimal Learning Machine. New Gener. Comput. Weslley L. Caldas, João P. P. Gomes, Diego P. P. Mesquita
2017	B	`conf`	A Robust Minimal Learning Machine based on the M-Estimator. ESANN João P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Júnior, Tommi Kärkkäinen
2017	J	`jnl`	Ensemble of Efficient Minimal Learning Machines for Classification and Regression. Neural Process. Lett. Diego P. P. Mesquita, João P. P. Gomes, Amauri Holanda de Souza Júnior
2017	J	`jnl`	Euclidean distance estimation in incomplete datasets. Neurocomputing Diego P. P. Mesquita, João P. P. Gomes, Amauri Holanda Souza Júnior, Juvêncio Santos Nobre
2017	—	`conf`	Forward Stagewise Regression on Incomplete Datasets. IWANN (1) Marcelo B. A. Veras, Diego P. P. Mesquita, João P. P. Gomes, Amauri H. Souza Júnior, Guilherme A. Barreto
2016	J	`jnl`	Classification with reject option for software defect prediction. Appl. Soft Comput. Diego P. P. Mesquita, Lincoln S. Rocha, João P. P. Gomes, Ajalmar R. da Rocha Neto
2016	—	`conf`	Co-MLM: A SSL Algorithm Based on the Minimal Learning Machine. BRACIS Weslley L. Caldas, João Paulo Pordeus Gomes, Michelle G. Cacais, Diego P. P. Mesquita
2016	—	`conf`	Extreme Learning Machines for Datasets with Missing Values Using the Unscented Transform. BRACIS Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues
2016	B	`conf`	K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values. ESANN Diego P. P. Mesquita, João P. P. Gomes, Leonardo Ramos Rodrigues
2016	—	`conf`	Shrinkage k-Means: A Clustering Algorithm Based on the James-Stein Estimator. BRACIS Filipe F. R. Damasceno, Marcelo B. A. Veras, Diego P. P. Mesquita, João Paulo Pordeus Gomes, Carlos Eduardo Fisch de Brito
2016	B	`conf`	Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness. ESANN Diego P. P. Mesquita, Antônio C. Araújo Neto, Jose Queiroz Neto, João P. P. Gomes, Leonardo Ramos Rodrigues