| 2015 | IWANN | Deep Transfer Learning Ensemble for Classification. | Chetak Kandaswamy, Lus M. Silva, Lus A. Alexandre, Jorge M. Santos |
| 2015 | IWANN | Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging. | Ricardo Gamelas Sousa, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Joaquim Marques de S, Lus A. Alexandre, Jorge M. Santos, Lus M. Silva |
| 2014 | ICANN | Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference. | Chetak Kandaswamy, Lus M. Silva, Lus A. Alexandre, Jorge M. Santos, Joaquim Marques de S |
| 2014 | ICMLA | Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders. | Telmo Amaral, Chetak Kandaswamy, Lus M. Silva, Lus A. Alexandre, Joaquim Marques de S, Jorge M. Santos |
| 2014 | SMC | Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders. | Chetak Kandaswamy, Lus M. Silva, Lus A. Alexandre, Ricardo Gamelas Sousa, Jorge M. Santos, Joaquim Marques de S |
| 2013 | ESANN | Random Brains: An ensemble method for feature selection with neural networks. | Mark J. Embrechts, Jonathan D. Linton, Jorge M. Santos |
| 2010 | ISDA | Using a clustering similarity measure for feature selection in high dimensional data sets. | Jorge M. Santos, Sandra Ramos |
| 2009 | ICANN | On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification. | Jorge M. Santos, Mark J. Embrechts |
| 2008 | ICANN | The Influence of the Risk Functional in Data Classification with MLPs. | Lus M. Silva, Mark J. Embrechts, Jorge M. Santos, Joaquim Marques de S |
| 2006 | ISDA | Modular Neural Network Task Decomposition Via Entropic Clustering. | Jorge M. Santos, Lus A. Alexandre, Joaquim Marques de S |
| 2005 | ICANN | Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. | Jorge M. Santos, Joaquim Marques de S, Lus A. Alexandre |