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Diego Mesquita
Diego Mesquita
Getulio Vargas Foundation
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Citado por
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Ano
Euclidean distance estimation in incomplete datasets
DPP Mesquita, JPP Gomes, AH Souza Junior, JS Nobre
Neurocomputing, 2017
822017
Rethinking pooling in graph neural networks
D Mesquita, AH Souza, S Kaski
Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020
392020
Classification with reject option for software defect prediction
DPP Mesquita, LS Rocha, JPP Gomes, ARR Neto
Applied Soft Computing 49, 1085-1093, 2016
392016
Ensemble of efficient minimal learning machines for classification and regression
DPP Mesquita, JPP Gomes, AH Souza Junior
Neural Processing Letters 46 (3), 751-766, 2017
302017
Building selective ensembles of randomization based neural networks with the successive projections algorithm
DPP Mesquita, JPP Gomes, LR Rodrigues, SAF Oliveira, RKH Galvão
Applied Soft Computing 70, 1135-1145, 2018
232018
Pruning extreme learning machines using the successive projections algorithm
DP Mesquita, J Gomes, LR Rodrigues, RK Galvao
IEEE Latin America Transactions 13 (12), 3974-3979, 2015
152015
Ensemble of minimal learning machines for pattern classification
DPP Mesquita, JPP Gomes, AHS Junior
International Work-Conference on Artificial Neural Networks, 142-152, 2015
152015
Artificial neural networks with random weights for incomplete datasets
DPP Mesquita, JPP Gomes, LR Rodrigues
Neural Processing Letters 50 (3), 2345-2372, 2019
122019
Gaussian kernels for incomplete data
DPP Mesquita, JPP Gomes, F Corona, AHS Junior, JS Nobre
Applied Soft Computing 77, 356-365, 2019
112019
Embarrassingly parallel MCMC using deep invertible transformations
D Mesquita, P Blomstedt, S Kaski
Conference on Uncertainty in Artificial Intelligence (UAI) 2019, 2019
92019
A minimal learning machine for datasets with missing values
DPP Mesquita, JPP Gomes
International Conference on Neural Information Processing, 565-572, 2015
92015
Fast Co-MLM: An efficient semi-supervised Co-training method based on the minimal learning machine
WL Caldas, JPP Gomes, DPP Mesquita
New Generation Computing 36 (1), 41-58, 2018
82018
A Robust Minimal Learning Machine based on the M-Estimator.
JPP Gomes, DPP Mesquita, A Freire, AHS Júnior, T Kärkkäinen
ESANN, 2017
72017
LS-SVR as a Bayesian RBF network
DPP Mesquita, LA Freitas, JPP Gomes, CLC Mattos
IEEE Transactions on Neural Networks and Learning Systems 31 (10), 4389-4393, 2019
62019
Shrinkage k-means: a clustering algorithm based on the James-Stein estimator
FFR Damasceno, MBA Veras, DPP Mesquita, JPP Gomes, CEF de Brito
2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 433-437, 2016
62016
Federated stochastic gradient Langevin dynamics
KE Mekkaoui, D Mesquita, P Blomstedt, S Kaski
Conference on Uncertainty in Artificial Intelligence (UAI) 2021, 2021
4*2021
Epanechnikov kernel for incomplete data
DPP Mesquita, JPP Gomes, AHS Junior
Electronics Letters 53 (21), 1408-1410, 2017
42017
Extreme learning machines for datasets with missing values using the unscented transform
DPP Mesquita, JPP Gomes, LR Rodrigues
2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 85-90, 2016
42016
K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values.
DPP Mesquita, JPP Gomes, LR Rodrigues
ESANN, 2016
42016
Co-mlm: a ssl algorithm based on the minimal learning machine
WL Caldas, JPP Gomes, MG Cacais, DPP Mesquita
2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 97-102, 2016
32016
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