Diego Mesquita

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João Paulo Pordeus GomesFederal University of CearaDirección de correo verificada de dc.ufc.br
Samuel KaskiProfessor, Aalto University and University of ManchesterDirección de correo verificada de aalto.fi
Amauri H. SouzaFederal Institute of Ceará (IFCE)Dirección de correo verificada de ifce.edu.br
César Lincoln Cavalcante MattosFederal University of Ceará (UFC)Dirección de correo verificada de dc.ufc.br
Juvêncio Santos NobreDepartment of Statistics and Applied Mathematics, Federal University of CearáDirección de correo verificada de ufc.br
Lincoln S. RochaFederal University of CearáDirección de correo verificada de dc.ufc.br
Daniel Augusto de SouzaPhD Student, UCLDirección de correo verificada de ucl.ac.uk
Tommi KärkkäinenProfessor of Mathematical Information Technology, University of JyvaskylaDirección de correo verificada de jyu.fi
Luigi AcerbiAssociate Professor of Machine and Human Intelligence, University of HelsinkiDirección de correo verificada de helsinki.fi
Dominik HeiderDirector, University of MünsterDirección de correo verificada de uni-muenster.de
Adèle Helena RibeiroPostdoctoral Researcher, Data Science in Biomedicine, Philipps-Universität MarburgDirección de correo verificada de uni-marburg.de
Guilherme A. BarretoDepartment of Teleinformatics Engineering, Federal University of CearáDirección de correo verificada de ufc.br
Tiago da SilvaMSc student, Getulio Vargas FoundationDirección de correo verificada de fgv.br

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Diego Mesquita

Getulio Vargas Foundation

Dirección de correo verificada de fgv.br - Página principal

Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Rethinking pooling in graph neural networks D Mesquita, AH Souza, S Kaski Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020	128	2020
Euclidean distance estimation in incomplete datasets DPP Mesquita, JPP Gomes, AH Souza Junior, JS Nobre Neurocomputing, 2017	113	2017
Provably expressive temporal graph networks AH Souza, D Mesquita, S Kaski, V Garg Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022	62	2022
Classification with reject option for software defect prediction DPP Mesquita, LS Rocha, JPP Gomes, ARR Neto Applied Soft Computing 49, 1085-1093, 2016	56	2016
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	37	2018
Ensemble of efficient minimal learning machines for classification and regression DPP Mesquita, JPP Gomes, AH Souza Junior Neural Processing Letters 46, 751-766, 2017	36	2017
Federated stochastic gradient Langevin dynamics KE Mekkaoui, D Mesquita, P Blomstedt, S Kaski Uncertainty in Artificial Intelligence (UAI) 2021, 2021	34*	2021
Embarrassingly parallel MCMC using deep invertible transformations D Mesquita, P Blomstedt, S Kaski Uncertainty in Artificial Intelligence (UAI) 2019, 2019	23	2019
Gaussian kernels for incomplete data DPP Mesquita, JPP Gomes, F Corona, AHS Junior, JS Nobre Applied Soft Computing 77, 356-365, 2019	22	2019
Artificial neural networks with random weights for incomplete datasets DPP Mesquita, JPP Gomes, LR Rodrigues Neural Processing Letters 50 (3), 2345-2372, 2019	19	2019
Ensemble of minimal learning machines for pattern classification DPP Mesquita, JPP Gomes, AHS Junior Advances in Computational Intelligence: 13th International Work-Conference …, 2015	17	2015
Distill n'Explain: explaining graph neural networks using simple surrogates T Pereira, E Nasciment, LE Resck, D Mesquita, A Souza Artificial Intelligence and Statistics (AISTATS) 2023, 2023	15	2023
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	15	2015
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, 2020	14	2020
A minimal learning machine for datasets with missing values DPP Mesquita, JPP Gomes, AHS Jr Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015	13	2015
Parallel MCMC Without Embarrassing Failures DA de Souza, D Mesquita, S Kaski, L Acerbi Artificial Intelligence and Statistics (AISTATS) 2022, 2022	12	2022
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, 41-58, 2018	11	2018
Bayesian Analysis of Bug-Fixing Time using Report Data R Vieira, D Mesquita, CL Mattos, R Britto, L Rocha, J Gomes ACM/IEEE ESEM, 57-68, 2022	8	2022
A Robust Minimal Learning Machine based on the M-Estimator. JPP Gomes, DPP Mesquita, A Freire, AHS Júnior, T Kärkkäinen ESANN, 2017	8	2017
A sparse linear regression model for incomplete datasets MBA Veras, DPP Mesquita, CLC Mattos, JPP Gomes Pattern Analysis and Applications 23 (3), 1293-1303, 2020	7	2020

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