| 2019 | IJCAI | Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning. | Saullo H. G. Oliveira, Andr R. Gonalves, Fernando J. Von Zuben |
| 2017 | AAAI | Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. | Andr R. Gonalves, Arindam Banerjee, Fernando J. Von Zuben |
| 2015 | IJCAI | Multi-Label Structure Learning with Ising Model Selection. | Andr R. Gonalves, Fernando J. Von Zuben, Arindam Banerjee |
| 2014 | CIKM | Multi-task Sparse Structure Learning. | Andr R. Gonalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee |
| 2013 | CEC | A multi-Gaussian component EDA with restarting applied to direction of arrival tracking. | Andr R. Gonalves, Levy Boccato, Romis Attux, Fernando J. Von Zuben |
| 2012 | ICANN | The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study. | Andr R. Gonalves, Rosana Veroneze, Salomo Sampaio Madeiro, Carlos R. B. Azevedo, Fernando J. Von Zuben |
| 2012 | IDEAL | A Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Network Centers in Regression Problems. | Rosana Veroneze, Andr R. Gonalves, Fernando J. Von Zuben |
| 2011 | CEC | Online learning in estimation of distribution algorithms for dynamic environments. | Andr R. Gonalves, Fernando J. Von Zuben |