Jorge M. Santos

Publication Activity (10 Years)

Years Active: 2004-2017
Publications (10 Years): 2

Top Topics

Transfer Learning

Top Venues

MICAI (Special Sessions)

Int. J. Pattern Recognit. Artif. Intell.

Publications

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 (2017)
Ricardo Gamelas Sousa, Luís A. Alexandre, Jorge M. Santos, Luís M. Silva, Joaquim Marques de Sá
Distribution-Based Categorization of Classifier Transfer Learning. CoRR (2017)
Manuel 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) (2015)
Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos
Deep Transfer Learning Ensemble for Classification. IWANN (1) (2015)
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)
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)
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)
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)
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)
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)
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)
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)
Mark J. Embrechts, Jonathan D. Linton, Jorge M. Santos
Random Brains: An ensemble method for feature selection with neural networks. ESANN (2013)
Manuel Cruz, Jorge M. Santos, Nuno Cruz
Estimating the Maximum Shear Modulus with Neural Networks. IEA/AIE (2013)
Jorge M. Santos, Frederico Morais
Evaluating Entropic Based Clustering Algorithms on Biomedical Data. MICAI (Special Sessions) (2013)
Manuel Cruz, Jorge M. Santos, Nuno Cruz
Maximum Shear Modulus Prediction by Marchetti Dilatometer Test Using Neural Networks. EANN/AIAI (1) (2011)
Tânia Fontes, Vânia Lopes, Luís M. Silva, Jorge M. Santos, Joaquim Marques de Sá
NNIGnets, Neural Networks Software. EANN/AIAI (1) (2011)
Jorge M. Santos, Sandra Ramos
Using a clustering similarity measure for feature selection in high dimensional data sets. ISDA (2010)
Jorge M. Santos, Mark J. Embrechts
On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification. ICANN (2) (2009)
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) (2008)
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)
Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá
Modular Neural Network Task Decomposition Via Entropic Clustering. ISDA (1) (2006)
Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. ICANN (2) (2005)
Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá
Neural Network Classification Using Error Entropy Minimization. WIRN (2004)