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Andre R Goncalves
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Generation and evaluation of synthetic patient data
A Goncalves, P Ray, B Soper, J Stevens, L Coyle, AP Sales
BMC medical research methodology 20 (1), 1-40, 2020
1032020
Overview of BTAS 2016 speaker anti-spoofing competition
P Korshunov, S Marcel, H Muckenhirn, AR Gonçalves, AGS Mello, ...
2016 IEEE 8th international conference on biometrics theory, applications …, 2016
832016
Multi-task sparse structure learning with gaussian copula models
AR Gonçalves, FJ Von Zuben, A Banerjee
The Journal of Machine Learning Research 17 (1), 1205-1234, 2016
58*2016
Multi-task Sparse Structure Learning
AR Goncalves, P Das, ...
23rd ACM International Conference on Conference on Information and Knowledge …, 2014
42*2014
Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso
X Liu, AR Goncalves, P Cao, D Zhao, A Banerjee, ...
Computerized Medical Imaging and Graphics 66, 100-114, 2018
232018
Modeling alzheimer’s disease progression with fused laplacian sparse group LASSO
X Liu, P Cao, AR Gonçalves, D Zhao, A Banerjee
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (6), 1-35, 2018
162018
Máquina de Vetores Suporte
AR Gonçalves
Acesso em 21, 2008
162008
Spatial projection of multiple climate variables using hierarchical multitask learning
AR Gonçalves, A Banerjee, FJ Von Zuben
Thirty-First AAAI Conference on Artificial Intelligence, 2017
152017
On the use of convolutional neural networks for speech presentation attack detection
P Korshunov, AR Goncalves, RPV Violato, FO Simões, S Marcel
Identity, Security, and Behavior Analysis (ISBA), 2018 IEEE 4th …, 2018
142018
On the generalization of fused systems in voice presentation attack detection
AR Gonçalves, RPV Violato, P Korshunov, S Marcel, FO Simoes
2017 International conference of the biometrics special interest group …, 2017
132017
Multi-label structure learning with ising model selection
AR Gonçalves, FJ Von Zuben, A Banerjee
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
122015
Online learning in estimation of distribution algorithms for dynamic environments
AR Gonçalves, FJ Von Zuben
Evolutionary Computation (CEC), 2011 IEEE Congress on, 62-69, 2011
102011
A multitask learning view on the earth system model ensemble
AR Gonçalves, FJ Von Zuben, A Banerjee
Computing in Science & Engineering 17 (6), 35-42, 2015
82015
Learning to correct climate projection biases
B Pan, GJ Anderson, A Goncalves, DD Lucas, CJW Bonfils, J Lee, Y Tian, ...
Journal of Advances in Modeling Earth Systems 13 (10), e2021MS002509, 2021
72021
Bayesian multitask learning regression for heterogeneous patient cohorts
AR Goncalves, P Ray, B Soper, D Widemann, M Nygård, JF Nygård, ...
Journal of Biomedical Informatics: X 4, 100059, 2019
72019
Otimização em ambientes dinâmicos com variáveis contínuas empregando algoritmos de estimação de distribuição
AR Gonçalves
Universidade Estadual de Campinas, 2011
72011
Improving seasonal forecast using probabilistic deep learning
B Pan, GJ Anderson, A Goncalves, DD Lucas, CJW Bonfils, J Lee
arXiv preprint arXiv:2010.14610, 2020
62020
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning
S Oliveira, AR Goncalves, F Von Zuben
International Joint Conference on Artificial Intelligence IJCAI, 3202-3208, 2019
62019
Redes bayesianas
AR Gonçalves
Universidade Estadual de Londrina, 2008
62008
Two-block vs. multi-block admm: An empirical evaluation of convergence
A Goncalves, X Liu, A Banerjee
arXiv preprint arXiv:1907.04524, 2019
52019
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Articles 1–20