André R. Gonçalves

Orcid: 0000-0002-0320-280X

Affiliations:
  • Lawrence Livermore National Laboratory, CA, USA
  • University of Campinas, Sao Paulo, Brazil (former)
  • University of Minnesota, Twin Cities, MN, USA (former)


According to our database1, André R. Gonçalves authored at least 21 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
Asymmetric Multi-Task Learning with Local Transference.
ACM Trans. Knowl. Discov. Data, 2022

2019
Bayesian multitask learning regression for heterogeneous patient cohorts.
J. Biomed. Informatics X, 2019

Two-block vs. Multi-block ADMM: An empirical evaluation of convergence.
CoRR, 2019

Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso.
ACM Trans. Knowl. Discov. Data, 2018

Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso.
Comput. Medical Imaging Graph., 2018

On the use of convolutional neural networks for speech presentation attack detection.
Proceedings of the IEEE 4th International Conference on Identity, 2018

2017
An Extremal Optimization approach to parallel resonance constrained capacitor placement problem.
CoRR, 2017

On the Generalization of Fused Systems in Voice Presentation Attack Detection.
Proceedings of the International Conference of the Biometrics Special Interest Group, 2017

Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Multi-task Sparse Structure Learning with Gaussian Copula Models.
J. Mach. Learn. Res., 2016


2015
A Multitask Learning View on the Earth System Model Ensemble.
Comput. Sci. Eng., 2015

Multi-Label Structure Learning with Ising Model Selection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Multi-task Sparse Structure Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
A multi-Gaussian component EDA with restarting applied to direction of arrival tracking.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Diagnosing Chronic Obstructive Pulmonary Disease with Artificial Neural Networks using Health Expert Guidelines.
Proceedings of the HEALTHINF 2013, 2013

2012
A Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Network Centers in Regression Problems.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Online learning in estimation of distribution algorithms for dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Classification of Poincaré plots for temporal series of heart rate variability by using machine learning techniques.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010


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