Jorge M. Santos - researchr alias

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Viewing Publication 1 - 23 from 23

2015

2014

Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-EncodersTelmo Amaral, Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá, Jorge M. Santos. icmla 2014: 367-372 [doi]

Transfer Learning Using Rotated Image Data to Improve Deep Neural Network PerformanceTelmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Joaquim Marques de Sá, Jorge M. Santos. iciar 2014: 290-300 [doi]

Improving transfer learning accuracy by reusing Stacked Denoising AutoencodersChetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Ricardo Sousa, Jorge M. Santos, Joaquim Marques de Sá. SMC 2014: 1380-1387 [doi]

Improving Deep Neural Network Performance by Reusing Features Trained with Transductive TransferenceChetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos, Joaquim Marques de Sá. icann 2014: 265-272 [doi]

A Family of Two-Dimensional Benchmark Data Sets and Its Application to Comparing Different Cluster Validation IndicesJorge M. Santos, Mark Embrechts. mcpr2 2014: 41-50 [doi]

Classification Performance of Multilayer Perceptrons with Different Risk functionalsLuís M. Silva, Jorge M. Santos, Joaquim Marques de Sá. ijprai, 28(6), 2014. [doi]

2013

2011

Maximum Shear Modulus Prediction by Marchetti Dilatometer Test Using Neural NetworksManuel Cruz, Jorge M. Santos, Nuno Cruz. ifip12 2011: 335-344 [doi]

NNIGnets, Neural Networks SoftwareTânia Fontes, Vânia Lopes, Luís M. Silva, Jorge M. Santos, Joaquim Marques de Sá. ifip12 2011: 345-350 [doi]

2010

Using a clustering similarity measure for feature selection in high dimensional data setsJorge M. Santos, Sandra Ramos. isda 2010: 900-905 [doi]

2009

On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised ClassificationJorge M. Santos, Mark Embrechts. icann 2009: 175-184 [doi]

2008

LEGClust - A Clustering Algorithm Based on Layered Entropic SubgraphsJorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre. pami, 30(1):62-75, 2008. [doi]

The Influence of the Risk Functional in Data Classification with MLPsLuís M. Silva, Mark Embrechts, Jorge M. Santos, Joaquim Marques de Sá. icann 2008: 185-194 [doi]

2006

Modular Neural Network Task Decomposition Via Entropic ClusteringJorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá. isda 2006: 62-67 [doi]

2005

Batch-Sequential Algorithm for Neural Networks Trained with Entropic CriteriaJorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre. icann 2005: 91-96 [doi]

2004

Neural Network Classification Using Error Entropy MinimizationJorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá. wirn 2010: 291-297 [doi]

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