| 2017 | IJCNN | Information-theoretic dataset selection for fast kernel learning. | Antnio R. C. Paiva |
| 2011 | IJCNN | Fast AdaBoost training using weighted novelty selection. | Mojtaba Seyedhosseini, Antnio R. C. Paiva, Tolga Tasdizen |
| 2010 | ICASSP | Fast semi-supervised image segmentation by novelty selection. | Antnio R. C. Paiva, Tolga Tasdizen |
| 2010 | ICPR | Using Sequential Context for Image Analysis. | Antnio R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen |
| 2010 | ICPR | Detection of Salient Image Points Using Principal Subspace Manifold Structure. | Antnio R. C. Paiva, Tolga Tasdizen |
| 2010 | ICPR | Image Parsing with a Three-State Series Neural Network Classifier. | Mojtaba Seyedhosseini, Antnio R. C. Paiva, Tolga Tasdizen |
| 2008 | ICASSP | Reproducing kernel Hilbert spaces for spike train analysis. | Antnio R. C. Paiva, Il Park, Jos C. Prncipe |
| 2007 | IJCNN | Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI. | Shalom Darmanjian, Antnio R. C. Paiva, Jos C. Prncipe, Justin C. Sanchez |
| 2007 | IJCNN | Spectral Clustering of Synchronous Spike Trains. | Antnio R. C. Paiva, Sudhir Rao, Il Park, Jos C. Prncipe |
| 2007 | IJCNN | A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters. | Il Park, Antnio R. C. Paiva, Jos C. Prncipe, John G. Harris |
| 2007 | IJCNN | A Novel Weighted LBG Algorithm for Neural Spike Compression. | Sudhir Rao, Antnio R. C. Paiva, Jos C. Prncipe |
| 2007 | IJCNN | A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces. | Yiwen Wang, Antnio R. C. Paiva, Jos C. Prncipe, Justin C. Sanchez |
| 2006 | IJCNN | A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. | Yiwen Wang, Antnio R. C. Paiva, Jos C. Prncipe |
| 2006 | IJCNN | Nonlinear Component Analysis Based on Correntropy. | Jian-Wu Xu, Puskal P. Pokharel, Antnio R. C. Paiva, Jos C. Prncipe |