A Data Base Management System for an Obstetrics Department. - J. F. Luís; M. Filomena Cardoso; João Bernardes; Joaquim Marques de Sá; L. Pereira Leite (MIE, 1991)

Statistical comparison of three analysis methods of fBm sequences. - Patrícia Vieira; Joaquim Marques de Sá; João Bernardes (ISSPA (1), 2003)

Neural Network Learning: Testing Bounds on Sample Complexity. - Joaquim Marques de Sá; Fernando Sereno; Luís A. Alexandre (PRIS, 2004)

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

Perceptron Learning with Discrete Weights. - Joaquim Marques de Sá; Carlos S. Felgueiras (ESANN, 2005)

Neural network classification using Shannon's entropy. - Luís M. Silva; Joaquim Marques de Sá; Luís A. Alexandre (ESANN, 2005)

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

Neural Network Classification: Maximizing Zero-Error Density. - Luís M. Silva; Luís A. Alexandre; Joaquim Marques de Sá (ICAPR (1), 2005)

Error Entropy Minimization for LSTM Training. - Luís A. Alexandre; Joaquim Marques de Sá (ICANN (1), 2006)

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

New developments of the Z-EDM algorithm. - Luís M. Silva; Joaquim Marques de Sá; Luís A. Alexandre (ISDA (1), 2006)

Error Entropy in Classification Problems: A Univariate Data Analysis. - Luís M. Silva; Carlos S. Felgueiras; Luís A. Alexandre; Joaquim Marques de Sá (Neural Comput., 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)

Data classification with multilayer perceptrons using a generalized error function. - Luís M. Silva; Joaquim Marques de Sá; Luís A. Alexandre (Neural Networks, 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)

Decision Trees Using the Minimum Entropy-of-Error Principle. - Joaquim Marques de Sá; João Gama 001; Raquel Sebastião; Luís A. Alexandre (CAIP, 2009)

The MEE Principle in Data Classification: A Perceptron-Based Analysis. - Luís M. Silva; Joaquim Marques de Sá; Luís A. Alexandre (Neural Comput., 2010)

New Results on Minimum Error Entropy Decision Trees. - Joaquim Marques de Sá; Raquel Sebastião; João Gama 001; Tânia Fontes (CIARP, 2011)

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

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)

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)

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)

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)

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)