Neural Network Classification Using Error Entropy Minimization. - Jorge M. Santos; Luís A. Alexandre; Joaquim Marques de Sá (WIRN, 2004)

Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. - Jorge M. Santos; Joaquim Marques de Sá; Luís A. Alexandre (ICANN (2), 2005)

Modular Neural Network Task Decomposition Via Entropic Clustering. - Jorge M. Santos; Luís A. Alexandre; Joaquim Marques de Sá (ISDA (1), 2006)

The Influence of the Risk Functional in Data Classification with MLPs. - Luís M. Silva; Mark J. Embrechts; Jorge M. Santos; Joaquim Marques de Sá (ICANN (1), 2008)

LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs. - Jorge M. Santos; Joaquim Marques de Sá; Luís A. Alexandre (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification. - Jorge M. Santos; Mark J. Embrechts (ICANN (2), 2009)

Using a clustering similarity measure for feature selection in high dimensional data sets. - Jorge M. Santos; Sandra Ramos (ISDA, 2010)

Maximum Shear Modulus Prediction by Marchetti Dilatometer Test Using Neural Networks. - Manuel B. Cruz; Jorge M. Santos; Nuno Cruz (EANN, 2011)

NNIGnets, Neural Networks Software. - Tânia Fontes; Vânia Lopes; Luís M. Silva; Jorge M. Santos; Joaquim Marques de Sá (EANN, 2011)

Random Brains: An ensemble method for feature selection with neural networks. - Mark J. Embrechts; Jonathan D. Linton; Jorge M. Santos (ESANN, 2013)

Estimating the Maximum Shear Modulus with Neural Networks. - Manuel B. Cruz; Jorge M. Santos; Nuno Cruz (IEA/AIE, 2013)

Using Different Cost Functions to Train Stacked Auto-Encoders. - Telmo Amaral; Luís M. Silva; Luís A. Alexandre; Chetak Kandaswamy; Jorge M. Santos; Joaquim Marques de Sá (MICAI (Special Sessions), 2013)

Evaluating Entropic Based Clustering Algorithms on Biomedical Data. - Jorge M. Santos; Frederico Morais (MICAI (Special Sessions), 2013)

Minimum Error Entropy Classification - Joaquim Marques de Sá; Luís M. Silva; Jorge M. Santos; Luís A. Alexandre (Springer, 2013)

Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference. - Chetak Kandaswamy; Luís M. Silva; Luís A. Alexandre; Jorge M. Santos; Joaquim Marques de Sá (ICANN, 2014)

Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance. - Telmo Amaral; Luís M. Silva; Luís A. Alexandre; Chetak Kandaswamy; Joaquim Marques de Sá; Jorge M. Santos (ICIAR (1), 2014)

Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders. - Telmo Amaral; Chetak Kandaswamy; Luís M. Silva; Luís A. Alexandre; Joaquim Marques de Sá; Jorge M. Santos (ICMLA, 2014)

A Family of Two-Dimensional Benchmark Data Sets and Its Application to Comparing Different Cluster Validation Indices. - Jorge M. Santos; Mark J. Embrechts (MCPR, 2014)

Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders. - Chetak Kandaswamy; Luís M. Silva; Luís A. Alexandre; Ricardo Gamelas Sousa; Jorge M. Santos; Joaquim Marques de Sá (SMC, 2014)

Classification Performance of Multilayer Perceptrons with Different Risk functionals. - Luís M. Silva; Jorge M. Santos; Joaquim Marques de Sá (Int. J. Pattern Recognit. Artif. Intell., 2014)

Deep Transfer Learning Ensemble for Classification. - Chetak Kandaswamy; Luís M. Silva; Luís A. Alexandre; Jorge M. Santos (IWANN (1), 2015)

Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging. - Ricardo Gamelas Sousa; Tiago Esteves; Sara Rocha; Francisco Figueiredo; Joaquim Marques de Sá; Luís A. Alexandre; Jorge M. Santos; Luís M. Silva (IWANN (1), 2015)

Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus. - Manuel B. Cruz; Jorge M. Santos; Nuno Cruz (Appl. Intell., 2015)

Distribution-Based Categorization of Classifier Transfer Learning. - Ricardo Gamelas Sousa; Luís A. Alexandre; Jorge M. Santos; Luís M. Silva; Joaquim Marques de Sá (CoRR, 2017)

Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition. - Ricardo Gamelas Sousa; Jorge M. Santos; Luís M. Silva; Luís A. Alexandre; Tiago Esteves; Sara Rocha; Paulo Monjardino; Joaquim Marques de Sá; Francisco Figueiredo; Pedro Quelhas (CoRR, 2017)