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ORCIDAndré R. Gonçalves 0001
Person information
- affiliation: Lawrence Livermore National Laboratory, CA, USA
- affiliation (former): University of Campinas, Sao Paulo, Brazil
- affiliation (former): University of Minnesota, Twin Cities, MN, USA
Other persons with the same name
- André R. Gonçalves 0002
![[0000-0002-9430-1685]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9430-1685")
— National Institute for Space Research, São José dos Campos, Brazil (and 1 more)
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2020 – today
- 2022
[j6]Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben:
Asymmetric Multi-Task Learning with Local Transference. ACM Trans. Knowl. Discov. Data 16(5): 99:1-99:30 (2022)
2010 – 2019
- 2019
- [j5]André R. Gonçalves, Priyadip Ray, Braden Soper, David P. Widemann, Mari Nygård, Jan F. Nygård, Ana Paula Sales:
Bayesian multitask learning regression for heterogeneous patient cohorts. J. Biomed. Informatics X 4: 100059 (2019) - [c13]Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben:
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning. IJCAI 2019: 3202-3208 - [i4]André R. Gonçalves, Xiaoli Liu, Arindam Banerjee:
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence. CoRR abs/1907.04524 (2019) - 2018
- [j4]Xiaoli Liu, André R. Gonçalves, Peng Cao, Dazhe Zhao, Arindam Banerjee:
Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso. Comput. Medical Imaging Graph. 66: 100-114 (2018) - [j3]Xiaoli Liu, Peng Cao, André R. Gonçalves, Dazhe Zhao, Arindam Banerjee:
Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso. ACM Trans. Knowl. Discov. Data 12(6): 65:1-65:35 (2018) - [c12]Pavel Korshunov, André R. Gonçalves, Ricardo P. V. Violato, Flávio Olmos Simões, Sébastien Marcel:
On the use of convolutional neural networks for speech presentation attack detection. ISBA 2018: 1-8 - 2017
- [c11]André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben:
Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. AAAI 2017: 4509-4515 - [c10]André R. Gonçalves, Ricardo P. V. Violato, Pavel Korshunov, Sébastien Marcel, Flávio Olmos Simões:
On the Generalization of Fused Systems in Voice Presentation Attack Detection. BIOSIG 2017: 187-194 - [i3]André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben:
Spatial Projection of Multiple Climate Variables using Hierarchical Multitask Learning. CoRR abs/1701.08840 (2017) - [i2]André R. Gonçalves, Celso C. Cavelucci, Christiano Lyra Filho, Fernando J. Von Zuben:
An Extremal Optimization approach to parallel resonance constrained capacitor placement problem. CoRR abs/1701.09046 (2017) - 2016
- [j2]André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee:
Multi-task Sparse Structure Learning with Gaussian Copula Models. J. Mach. Learn. Res. 17: 33:1-33:30 (2016) - [c9]Pavel Korshunov, Sébastien Marcel, Hannah Muckenhirn, André R. Gonçalves, A. G. Souza Mello, Ricardo Paranhos Velloso Violato, Flávio Olmos Simões, Mário Uliani Neto, Marcus de Assis Angeloni, José Augusto Stuchi, Heinrich Dinkel, Nanxin Chen, Yanmin Qian, Dipjyoti Paul, Goutam Saha, Md. Sahidullah:
Overview of BTAS 2016 speaker anti-spoofing competition. BTAS 2016: 1-6 - 2015
- [j1]André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee:
A Multitask Learning View on the Earth System Model Ensemble. Comput. Sci. Eng. 17(6): 35-42 (2015) - [c8]André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee:
Multi-Label Structure Learning with Ising Model Selection. IJCAI 2015: 3525-3531 - 2014
- [c7]André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee:
Multi-task Sparse Structure Learning. CIKM 2014: 451-460 - [i1]André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee:
Multi-task Sparse Structure Learning. CoRR abs/1409.0272 (2014) - 2013
- [c6]Maria Angelica de Oliveira Camargo-Brunetto, André R. Gonçalves:
Diagnosing Chronic Obstructive Pulmonary Disease with Artificial Neural Networks using Health Expert Guidelines. HEALTHINF 2013: 207-214 - [c5]André R. Gonçalves, Levy Boccato, Romis Attux, Fernando J. Von Zuben:
A multi-Gaussian component EDA with restarting applied to direction of arrival tracking. IEEE Congress on Evolutionary Computation 2013: 1556-1563 - 2012
- [c4]André R. Gonçalves, Rosana Veroneze, Salomão Sampaio Madeiro, Carlos R. B. Azevedo, Fernando J. Von Zuben:
The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study. ICANN (2) 2012: 148-155 - [c3]Rosana Veroneze, André R. Gonçalves, Fernando J. Von Zuben:
A Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Network Centers in Regression Problems. IDEAL 2012: 127-134 - 2011
- [c2]André R. Gonçalves, Fernando J. Von Zuben:
Online learning in estimation of distribution algorithms for dynamic environments. IEEE Congress on Evolutionary Computation 2011: 62-69 - 2010
- [c1]André Ricardo Gonçalves, Maria Angelica de Oliveira Camargo-Brunetto:
Classification of Poincaré plots for temporal series of heart rate variability by using machine learning techniques. ISDA 2010: 432-438
Coauthor Index
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