Diego Mesquita
Diego Mesquita
Ph.D. student, Aalto University
Verified email at aalto.fi - Homepage
Title
Cited by
Cited by
Year
Euclidean distance estimation in incomplete datasets
DPP Mesquita, JPP Gomes, AH Souza Junior, JS Nobre
Neurocomputing, 2017
712017
Classification with reject option for software defect prediction
DPP Mesquita, LS Rocha, JPP Gomes, ARR Neto
Applied Soft Computing 49, 1085-1093, 2016
322016
Ensemble of efficient minimal learning machines for classification and regression
DPP Mesquita, JPP Gomes, AHS 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 Galvao
Applied Soft Computing 70, 1135-1145, 2018
202018
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
Rethinking pooling in graph neural networks
D Mesquita, AH Souza, S Kaski
NeurIPS 2020, 2020
132020
A minimal learning machine for datasets with missing values
DPP Mesquita, JPP Gomes, AH Souza Jr
International Conference on Neural Information Processing, 565-572, 2015
102015
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 Jķnior, T Kšrkkšinen
ESANN, 2017
72017
Gaussian kernels for incomplete data
DPP Mesquita, JPP Gomes, F Corona, AHS Junior, JS Nobre
Applied Soft Computing 77, 356-365, 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
Artificial neural networks with random weights for incomplete datasets
DPP Mesquita, JPP Gomes, LR Rodrigues
Neural Processing Letters 50 (3), 2345-2372, 2019
52019
Embarrassingly parallel MCMC using deep invertible transformations
D Mesquita, P Blomstedt, S Kaski
UAI 2019, 2019
52019
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
Federated stochastic gradient Langevin dynamics
KE Mekkaoui, D Mesquita, P Blomstedt, S Kaski
UAI 2021, 2021
3*2021
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
32019
Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness.
DPP Mesquita, ACA Neto, JQ Neto, JPP Gomes, LR Rodrigues
ESANN, 2016
32016
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Articles 1–20