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ORCIDJorge M. Santos
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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
- [j3]Manuel B. Cruz, Jorge M. Santos, Nuno Cruz:
Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus. Appl. Intell. 42(1): 135-146 (2015) - [c19]Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos:
Deep Transfer Learning Ensemble for Classification. IWANN (1) 2015: 335-348 - [c18]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
- [j2]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) - [c17]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 - [c16]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 - [c15]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 - [c14]Jorge M. Santos, Mark J. Embrechts:
A Family of Two-Dimensional Benchmark Data Sets and Its Application to Comparing Different Cluster Validation Indices. MCPR 2014: 41-50 - [c13]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 - [c12]Mark J. Embrechts, Jonathan D. Linton, Jorge M. Santos:
Random Brains: An ensemble method for feature selection with neural networks. ESANN 2013 - [c11]Manuel B. Cruz, Jorge M. Santos, Nuno Cruz:
Estimating the Maximum Shear Modulus with Neural Networks. IEA/AIE 2013: 684-693 - [c10]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 - [c9]Jorge M. Santos, Frederico Morais:
Evaluating Entropic Based Clustering Algorithms on Biomedical Data. MICAI (Special Sessions) 2013: 194-199 - 2011
- [c8]Manuel B. Cruz, Jorge M. Santos, Nuno Cruz:
Maximum Shear Modulus Prediction by Marchetti Dilatometer Test Using Neural Networks. EANN/AIAI (1) 2011: 335-344 - [c7]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
- [c6]Jorge M. Santos, Sandra Ramos:
Using a clustering similarity measure for feature selection in high dimensional data sets. ISDA 2010: 900-905
2000 – 2009
- 2009
- [c5]Jorge M. Santos, Mark J. Embrechts:
On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification. ICANN (2) 2009: 175-184 - 2008
- [j1]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) - [c4]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 - 2006
- [c3]Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá:
Modular Neural Network Task Decomposition Via Entropic Clustering. ISDA (1) 2006: 62-67 - 2005
- [c2]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 - 2004
- [c1]Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá:
Neural Network Classification Using Error Entropy Minimization. WIRN 2004: 291-297
Coauthor Index
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