Jorge M. Santos

25 papers B 2C 6Journal 5Unranked 11
YearRankTypeTitle / Venue / Authors
2017 J jnl
Distribution-Based Categorization of Classifier Transfer Learning.
CoRR
Ricardo Gamelas Sousa, Luís A. Alexandre, Jorge M. Santos, Luís M. Silva, Joaquim Marques de Sá
2017 J jnl
Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition.
CoRR
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
2015 — conf
Deep Transfer Learning Ensemble for Classification.
IWANN (1)
Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos
2015 — conf
Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging.
IWANN (1)
Ricardo Gamelas Sousa, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Joaquim Marques de Sá, Luís A. Alexandre, Jorge M. Santos, Luís M. Silva
2015 J jnl
Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus.
Appl. Intell.
Manuel B. Cruz, Jorge M. Santos, Nuno Cruz
2014 — conf
A Family of Two-Dimensional Benchmark Data Sets and Its Application to Comparing Different Cluster Validation Indices.
MCPR
Jorge M. Santos, Mark J. Embrechts
2014 J jnl
Classification Performance of Multilayer Perceptrons with Different Risk functionals.
Int. J. Pattern Recognit. Artif. Intell.
Luís M. Silva, Jorge M. Santos, Joaquim Marques de Sá
2014 C conf
Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference.
ICANN
Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos, Joaquim Marques de Sá
2014 C conf
Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders.
ICMLA
Telmo Amaral, Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá, Jorge M. Santos
2014 B conf
Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders.
SMC
Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Ricardo Gamelas Sousa, Jorge M. Santos, Joaquim Marques de Sá
2014 — conf
Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance.
ICIAR (1)
Telmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Joaquim Marques de Sá, Jorge M. Santos
2013 C conf
Estimating the Maximum Shear Modulus with Neural Networks.
IEA/AIE
Manuel B. Cruz, Jorge M. Santos, Nuno Cruz
2013 — conf
Evaluating Entropic Based Clustering Algorithms on Biomedical Data.
MICAI (Special Sessions)
Jorge M. Santos, Frederico Morais
2013 — book
Minimum Error Entropy Classification
Joaquim Marques de Sá, Luís M. Silva, Jorge M. Santos, Luís A. Alexandre
2013 B conf
Random Brains: An ensemble method for feature selection with neural networks.
ESANN
Mark J. Embrechts, Jonathan D. Linton, Jorge M. Santos
2013 — conf
Using Different Cost Functions to Train Stacked Auto-Encoders.
MICAI (Special Sessions)
Telmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Jorge M. Santos, Joaquim Marques de Sá
2011 C conf
Maximum Shear Modulus Prediction by Marchetti Dilatometer Test Using Neural Networks.
EANN
Manuel B. Cruz, Jorge M. Santos, Nuno Cruz
2011 C conf
NNIGnets, Neural Networks Software.
EANN
Tânia Fontes, Vânia Lopes, Luís M. Silva, Jorge M. Santos, Joaquim Marques de Sá
2010 C conf
Using a clustering similarity measure for feature selection in high dimensional data sets.
ISDA
Jorge M. Santos, Sandra Ramos
2009 — conf
On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification.
ICANN (2)
Jorge M. Santos, Mark J. Embrechts
2008 J jnl
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs.
IEEE Trans. Pattern Anal. Mach. Intell.
Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre
2008 — conf
The Influence of the Risk Functional in Data Classification with MLPs.
ICANN (1)
Luís M. Silva, Mark J. Embrechts, Jorge M. Santos, Joaquim Marques de Sá
2006 — conf
Modular Neural Network Task Decomposition Via Entropic Clustering.
ISDA (1)
Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá
2005 — conf
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria.
ICANN (2)
Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre
2004 — conf
Neural Network Classification Using Error Entropy Minimization.
WIRN
Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá