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ORCIDJoaquim Marques de Sá
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2010 – 2019
- 2017
[i2]Ricardo Gamelas Sousa, Luís A. Alexandre, Jorge M. Santos
, Luís M. Silva, Joaquim Marques de Sá:
Distribution-Based Categorization of Classifier Transfer Learning. CoRR abs/1712.02159 (2017)- [i1]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:
Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition. CoRR abs/1712.02824 (2017) - 2015
- [c21]Ricardo Gamelas Sousa, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Joaquim Marques de Sá, Luís A. Alexandre, Jorge M. Santos, Luís M. Silva:
Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging. IWANN (1) 2015: 374-384 - 2014
- [j5]Luís M. Silva, Jorge M. Santos, Joaquim Marques de Sá:
Classification Performance of Multilayer Perceptrons with Different Risk functionals. Int. J. Pattern Recognit. Artif. Intell. 28(6) (2014) - [c20]Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos, Joaquim Marques de Sá:
Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference. ICANN 2014: 265-272 - [c19]Telmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Joaquim Marques de Sá, Jorge M. Santos:
Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance. ICIAR (1) 2014: 290-300 - [c18]Telmo Amaral, Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá, Jorge M. Santos:
Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders. ICMLA 2014: 367-372 - [c17]Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Ricardo Gamelas Sousa, Jorge M. Santos, Joaquim Marques de Sá:
Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders. SMC 2014: 1380-1387 - 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 - [c16]Telmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Jorge M. Santos, Joaquim Marques de Sá:
Using Different Cost Functions to Train Stacked Auto-Encoders. MICAI (Special Sessions) 2013: 114-120 - 2011
- [c15]Joaquim Marques de Sá, Raquel Sebastião, João Gama, Tânia Fontes:
New Results on Minimum Error Entropy Decision Trees. CIARP 2011: 355-362 - [c14]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 Comput. 22(10): 2698-2728 (2010)
2000 – 2009
- 2009
- [c13]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) - [c12]Luís M. Silva, Mark J. 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:
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 [contents] - [e1]Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic:
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 [contents] - 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 Comput. 18(9): 2036-2061 (2006) - [c11]Luís A. Alexandre, Joaquim Marques de Sá:
Error Entropy Minimization for LSTM Training. ICANN (1) 2006: 244-253 - [c10]Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá:
Modular Neural Network Task Decomposition Via Entropic Clustering. ISDA (1) 2006: 62-67 - [c9]Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre:
New developments of the Z-EDM algorithm. ISDA (1) 2006: 1067-1072 - 2005
- [c8]Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre:
Neural network classification using Shannon's entropy. ESANN 2005: 217-222 - [c7]Joaquim Marques de Sá, Carlos S. Felgueiras:
Perceptron Learning with Discrete Weights. ESANN 2005: 235-240 - [c6]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 - [c5]Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá:
Neural Network Classification: Maximizing Zero-Error Density. ICAPR (1) 2005: 127-135 - 2004
- [c4]Joaquim Marques de Sá, Fernando Sereno, Luís A. Alexandre:
Neural Network Learning: Testing Bounds on Sample Complexity. PRIS 2004: 196-201 - [c3]Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá:
Neural Network Classification Using Error Entropy Minimization. WIRN 2004: 291-297 - 2003
- [c2]Patrícia Vieira, Joaquim Marques de Sá, João Bernardes:
Statistical comparison of three analysis methods of fBm sequences. ISSPA (1) 2003: 565-567
1990 – 1999
- 1991
- [c1]J. F. Luís, M. Filomena Cardoso, João Bernardes, Joaquim Marques de Sá, L. Pereira Leite:
A Data Base Management System for an Obstetrics Department. MIE 1991: 891-894
Coauthor Index
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