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Andre R Goncalves
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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
812016
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
792020
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
56*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
212018
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
Máquina de Vetores Suporte
AR Gonçalves
Acesso em 21, 2008
152008
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
132018
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
112015
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
102018
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
72015
Otimização em ambientes dinâmicos com variáveis contínuas empregando algoritmos de estimação de distribuição
AR Gonçalves
Universidade Estadual de Campinas, 2011
72011
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
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
Structured estimation in high dimensions: Applications in climate
AR Goncalves, A Banerjee, V Sivakumar, S Chatterjee
Large-Scale Machine Learning in the Earth Sciences, 13-32, 2017
42017
Hybrid evolutionary algorithm guided by a fast adaptive gaussian mixture model applied to dynamic optimization problems
AR Gonçalves, FJ Von Zuben
III Workshop on Computational Intelligence-Joint Conference, 553-558, 2010
42010
Identifying and correcting climate projection biases using artificial intelligence
B Pan, GJ Anderson, DD Lucas, A Goncalves, C Bonfils, J Lee, Y Tian
AGU Fall Meeting Abstracts 2020, GC113-0007, 2020
32020
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