Diego P. P. Mesquita

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Incomplete Data

Linear Regression

Exception Handling

Gaussian Kernels

Top Venues

Neural Process. Lett.

Appl. Soft Comput.

Publications

Antônio da Silva, Renan Gomes Vieira, Diego P. P. Mesquita, João Paulo Pordeus Gomes, Lincoln S. Rocha
Towards automatic labeling of exception handling bugs: A case study of 10 years bug-fixing in Apache Hadoop. Empir. Softw. Eng. 29 (4) (2024)
Daniel de Souza, Diego P. P. Mesquita, João Paulo Pordeus Gomes, César Lincoln C. Mattos
Learning GPLVM with arbitrary kernels using the unscented transformation. AISTATS (2021)
Diego P. P. Mesquita, Amauri H. Souza Jr., Samuel Kaski
Rethinking pooling in graph neural networks. CoRR (2020)
Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
LS-SVR as a Bayesian RBF Network. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Diego P. P. Mesquita, Amauri H. Souza Jr., Samuel Kaski
Rethinking pooling in graph neural networks. NeurIPS (2020)
Marcelo B. A. Veras, Diego P. P. Mesquita, César Lincoln C. Mattos, João P. P. Gomes
A sparse linear regression model for incomplete datasets. Pattern Anal. Appl. 23 (3) (2020)
Khaoula el Mekkaoui, Diego P. P. Mesquita, Paul Blomstedt, Samuel Kaski
Variance reduction for distributed stochastic gradient MCMC. CoRR (2020)
Diego P. P. Mesquita, Paul Blomstedt, Samuel Kaski
Embarrassingly parallel MCMC using deep invertible transformations. CoRR (2019)
Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues
Artificial Neural Networks with Random Weights for Incomplete Datasets. Neural Process. Lett. 50 (3) (2019)
Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
LS-SVR as a Bayesian RBF network. CoRR (2019)
Diego P. P. Mesquita, Paul Blomstedt, Samuel Kaski
Embarrassingly Parallel MCMC using Deep Invertible Transformations. UAI (2019)
Diego P. P. Mesquita, João P. P. Gomes, Francesco Corona, Amauri Holanda de Souza Júnior, Juvêncio S. Nobre
Gaussian kernels for incomplete data. Appl. Soft Comput. 77 (2019)
Weslley L. Caldas, João P. P. Gomes, Diego P. P. Mesquita
Fast Co-MLM: An Efficient Semi-supervised Co-training Method Based on the Minimal Learning Machine. New Gener. Comput. 36 (1) (2018)
Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues, Saulo A. F. Oliveira, Roberto Kawakami Harrop Galvão
Building selective ensembles of Randomization Based Neural Networks with the successive projections algorithm. Appl. Soft Comput. 70 (2018)
Diego P. P. Mesquita, João P. P. Gomes, Amauri Holanda de Souza Júnior
Ensemble of Efficient Minimal Learning Machines for Classification and Regression. Neural Process. Lett. 46 (3) (2017)
João P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Júnior, Tommi Kärkkäinen
A Robust Minimal Learning Machine based on the M-Estimator. ESANN (2017)
Marcelo B. A. Veras, Diego P. P. Mesquita, João P. P. Gomes, Amauri H. Souza Júnior, Guilherme A. Barreto
Forward Stagewise Regression on Incomplete Datasets. IWANN (1) (2017)
Diego P. P. Mesquita, Antônio C. Araújo Neto, Jose Queiroz Neto, João P. P. Gomes, Leonardo Ramos Rodrigues
Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness. ESANN (2016)
Diego P. P. Mesquita, João P. P. Gomes, Leonardo Ramos Rodrigues
K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values. ESANN (2016)