Joaquim Marques de Sá

According to our database, Joaquim Marques de Sá authored at least 29 papers between 1991 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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

Proceedings of the Advances in Computational Intelligence, 2015

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

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

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the 13th International Conference on Machine Learning and Applications, 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

Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

Minimum Error Entropy Classification

Joaquim Marques de Sá, Luís M. Silva, Jorge M. Santos, Luís A. Alexandre

Studies in Computational Intelligence 420, Springer, ISBN: 978-3-642-29028-2, 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

Proceedings of the 12th Mexican International Conference on Artificial Intelligence, 2013

2011

NNIGnets, Neural Networks Software.

Tânia Fontes, Vânia Lopes, Luís M. Silva, Jorge M. Santos, Joaquim Marques de Sá

Proceedings of the Engineering Applications of Neural Networks, 2011

New Results on Minimum Error Entropy Decision Trees.

Joaquim Marques de Sá, Raquel Sebastião, João Gama, Tânia Fontes

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010

The MEE Principle in Data Classification: A Perceptron-Based Analysis.

Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre

Neural Comput., 2010

2009

Decision Trees Using the Minimum Entropy-of-Error Principle.

Joaquim Marques de Sá, João Gama, Raquel Sebastião, Luís A. Alexandre

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

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

Data classification with multilayer perceptrons using a generalized error function.

Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre

Neural Networks, 2008

The Influence of the Risk Functional in Data Classification with MLPs.

Luís M. Silva, Mark J. Embrechts, Jorge M. Santos, Joaquim Marques de Sá

Proceedings of the Artificial Neural Networks, 2008

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

New developments of the Z-EDM algorithm.

Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Modular Neural Network Task Decomposition Via Entropic Clustering.

Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Error Entropy Minimization for LSTM Training.

Luís A. Alexandre, Joaquim Marques de Sá

Proceedings of the Artificial Neural Networks, 2006

2005

Neural Network Classification: Maximizing Zero-Error Density.

Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá

Proceedings of the Pattern Recognition and Data Mining, 2005

Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria.

Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Neural network classification using Shannon's entropy.

Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Perceptron Learning with Discrete Weights.

Joaquim Marques de Sá, Carlos S. Felgueiras

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004

Neural Network Classification Using Error Entropy Minimization.

Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá

Proceedings of the Biological and Artificial Intelligence Environments, 2004

Neural Network Learning: Testing Bounds on Sample Complexity.

Joaquim Marques de Sá, Fernando Sereno, Luís A. Alexandre

Proceedings of the Pattern Recognition in Information Systems, 2004

2003

Statistical comparison of three analysis methods of fBm sequences.

Patrícia Vieira, Joaquim Marques de Sá, João Bernardes

Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

1991

A Data Base Management System for an Obstetrics Department.

J. F. Luís, M. Filomena Cardoso, João Bernardes, Joaquim Marques de Sá, L. Pereira Leite

Proceedings of the Medical Informatics Europe 1991, 1991