| 2013 | ||
|---|---|---|
| b1 | Joaquim Marques de Sá, Luís M. Silva, Jorge M. Santos, Luís A. Alexandre: Minimum Error Entropy Classification. Studies in Computational Intelligence 420, Springer 2013, isbn 978-3-642-29028-2, pp. 1-213 | |
| 2011 | ||
| c13 | Joaquim Marques de Sá, Raquel Sebastião, João Gama, Tânia Fontes: New Results on Minimum Error Entropy Decision Trees. CIARP 2011: 355-362 | |
| c12 | Tânia Fontes, Vânia Lopes, Luís M. Silva, Jorge M. Santos, Joaquim Marques de Sá: NNIGnets, Neural Networks Software. EANN/AIAI (1) 2011: 345-350 | |
| 2010 | ||
| j4 | Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre: The MEE Principle in Data Classification: A Perceptron-Based Analysis. Neural Computation 22(10): 2698-2728 (2010) | |
| 2009 | ||
| c11 | Joaquim Marques de Sá, João Gama, Raquel Sebastião, Luís A. Alexandre: Decision Trees Using the Minimum Entropy-of-Error Principle. CAIP 2009: 799-807 | |
| 2008 | ||
| j3 | Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre: Data classification with multilayer perceptrons using a generalized error function. Neural Networks 21(9): 1302-1310 (2008) | |
| j2 | Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre: LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs. IEEE Trans. Pattern Anal. Mach. Intell. 30(1): 62-75 (2008) | |
| c10 | Luís M. Silva, Mark Embrechts, Jorge M. Santos, Joaquim Marques de Sá: The Influence of the Risk Functional in Data Classification with MLPs. ICANN (1) 2008: 185-194 | |
| 2007 | ||
| e2 | Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic (Eds.): Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I. Lecture Notes in Computer Science 4668, Springer 2007, isbn 978-3-540-74689-8 | |
| e1 | Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic (Eds.): Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II. Lecture Notes in Computer Science 4669, Springer 2007, isbn 978-3-540-74693-5 | |
| 2006 | ||
| j1 | Luís M. Silva, Carlos S. Felgueiras, Luís A. Alexandre, Joaquim Marques de Sá: Error Entropy in Classification Problems: A Univariate Data Analysis. Neural Computation 18(9): 2036-2061 (2006) | |
| c9 | Luís A. Alexandre, Joaquim Marques de Sá: Error Entropy Minimization for LSTM Training. ICANN (1) 2006: 244-253 | |
| c8 | Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá: Modular Neural Network Task Decomposition Via Entropic Clustering. ISDA (1) 2006: 62-67 | |
| c7 | Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre: New developments of the Z-EDM algorithm. ISDA (1) 2006: 1067-1072 | |
| 2005 | ||
| c6 | Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre: Neural network classification using Shannon's entropy. ESANN 2005: 217-222 | |
| c5 | Joaquim Marques de Sá, Carlos S. Felgueiras: Perceptron Learning with Discrete Weights. ESANN 2005: 235-240 | |
| c4 | Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre: Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. ICANN (2) 2005: 91-96 | |
| c3 | Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá: Neural Network Classification: Maximizing Zero-Error Density. ICAPR (1) 2005: 127-135 | |
| 2004 | ||
| c2 | Joaquim Marques de Sá, Fernando Sereno, Luís A. Alexandre: Neural Network Learning: Testing Bounds on Sample Complexity. PRIS 2004: 196-201 | |
| c1 | Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá: Neural Network Classification Using Error Entropy Minimization. WIRN 2004: 291-297 | |
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