Joaquim Marques de Sá

Publication Activity (10 Years)

Years Active: 1991-2017
Publications (10 Years): 2

Top Topics

Manifold Alignment

Transfer Learning

Top Venues

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)
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)
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)
Joaquim Marques de Sá, Raquel Sebastião, João Gama, Tânia Fontes
New Results on Minimum Error Entropy Decision Trees. CIARP (2011)
Tânia Fontes, Vânia Lopes, Luís M. Silva, Jorge M. Santos, Joaquim Marques de Sá
NNIGnets, Neural Networks Software. EANN/AIAI (1) (2011)
Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
The MEE Principle in Data Classification: A Perceptron-Based Analysis. Neural Comput. 22 (10) (2010)
Joaquim Marques de Sá, João Gama, Raquel Sebastião, Luís A. Alexandre
Decision Trees Using the Minimum Entropy-of-Error Principle. CAIP (2009)
Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
Data classification with multilayer perceptrons using a generalized error function. Neural Networks 21 (9) (2008)
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)
Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
New developments of the Z-EDM algorithm. ISDA (1) (2006)
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) (2006)
Luís A. Alexandre, Joaquim Marques de Sá
Error Entropy Minimization for LSTM Training. ICANN (1) (2006)
Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá
Modular Neural Network Task Decomposition Via Entropic Clustering. ISDA (1) (2006)
Joaquim Marques de Sá, Carlos S. Felgueiras
Perceptron Learning with Discrete Weights. ESANN (2005)
Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. ICANN (2) (2005)
Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
Neural network classification using Shannon's entropy. ESANN (2005)
Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá
Neural Network Classification: Maximizing Zero-Error Density. ICAPR (1) (2005)
Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá
Neural Network Classification Using Error Entropy Minimization. WIRN (2004)
Joaquim Marques de Sá, Fernando Sereno, Luís A. Alexandre
Neural Network Learning: Testing Bounds on Sample Complexity. PRIS (2004)
Patrícia Vieira, Joaquim Marques de Sá, João Bernardes
Statistical comparison of three analysis methods of fBm sequences. ISSPA (1) (2003)
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)