André R. Gonçalves

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Asymmetric Multi-Task Learning with Local Transference.

Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben

ACM Trans. Knowl. Discov. Data, 2022

2019

Bayesian multitask learning regression for heterogeneous patient cohorts.

André R. Gonçalves, Priyadip Ray, Braden Soper, David P. Widemann, Mari Nygård, Jan F. Nygård, Ana Paula Sales

J. Biomed. Informatics X, 2019

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

André R. Gonçalves, Xiaoli Liu, Arindam Banerjee

CoRR, 2019

Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning.

Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso.

Xiaoli Liu, Peng Cao, André R. Gonçalves, Dazhe Zhao, Arindam Banerjee

ACM Trans. Knowl. Discov. Data, 2018

Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso.

Xiaoli Liu, André R. Gonçalves, Peng Cao, Dazhe Zhao, Arindam Banerjee

Comput. Medical Imaging Graph., 2018

On the use of convolutional neural networks for speech presentation attack detection.

Pavel Korshunov, André R. Gonçalves, Ricardo P. V. Violato, Flávio Olmos Simões, Sébastien Marcel

Proceedings of the IEEE 4th International Conference on Identity, 2018

2017

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

André R. Gonçalves, Celso C. Cavelucci, Christiano Lyra Filho, Fernando J. Von Zuben

CoRR, 2017

On the Generalization of Fused Systems in Voice Presentation Attack Detection.

André R. Gonçalves, Ricardo P. V. Violato, Pavel Korshunov, Sébastien Marcel, Flávio Olmos Simões

Proceedings of the International Conference of the Biometrics Special Interest Group, 2017

Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning.

André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Multi-task Sparse Structure Learning with Gaussian Copula Models.

André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee

J. Mach. Learn. Res., 2016

Overview of BTAS 2016 speaker anti-spoofing competition.

Pavel Korshunov, Sébastien Marcel, Hannah Muckenhirn, André R. Gonçalves, A. G. Souza Mello, Ricardo Paranhos Velloso Violato, Flávio Olmos Simões, M. U. Neto, Marcus de Assis Angeloni, José Augusto Stuchi, Heinrich Dinkel, Nanxin Chen, Yanmin Qian, Dipjyoti Paul, Goutam Saha, Md. Sahidullah

Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015

A Multitask Learning View on the Earth System Model Ensemble.

André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee

Comput. Sci. Eng., 2015

Multi-Label Structure Learning with Ising Model Selection.

André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Multi-task Sparse Structure Learning.

André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee

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.

André R. Gonçalves, Levy Boccato, Romis Attux, Fernando J. Von Zuben

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Diagnosing Chronic Obstructive Pulmonary Disease with Artificial Neural Networks using Health Expert Guidelines.

Maria Angelica de Oliveira Camargo-Brunetto, André R. Gonçalves

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.

Rosana Veroneze, André R. Gonçalves, Fernando J. Von Zuben

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study.

André R. Gonçalves, Rosana Veroneze, Salomão Sampaio Madeiro, Carlos R. B. Azevedo, Fernando J. Von Zuben

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Online learning in estimation of distribution algorithms for dynamic environments.

André R. Gonçalves, Fernando J. Von Zuben

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.

André Ricardo Gonçalves, Maria Angelica de Oliveira Camargo-Brunetto

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010