Joaquim Marques de Sá

31 papers B 3C 5Journal 7Unranked 13

Year	Rank	Type	Title / 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`	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
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	—	`book`	Minimum Error Entropy Classification Joaquim Marques de Sá, Luís M. Silva, Jorge M. Santos, Luís A. Alexandre
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`	NNIGnets, Neural Networks Software. EANN Tânia Fontes, Vânia Lopes, Luís M. Silva, Jorge M. Santos, Joaquim Marques de Sá
2011	C	`conf`	New Results on Minimum Error Entropy Decision Trees. CIARP Joaquim Marques de Sá, Raquel Sebastião, João Gama, Tânia Fontes
2010	J	`jnl`	The MEE Principle in Data Classification: A Perceptron-Based Analysis. Neural Comput. Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
2009	C	`conf`	Decision Trees Using the Minimum Entropy-of-Error Principle. CAIP Joaquim Marques de Sá, João Gama, Raquel Sebastião, Luís A. Alexandre
2008	J	`jnl`	Data classification with multilayer perceptrons using a generalized error function. Neural Networks Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
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
2007	—	`ed.`	Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I ICANN (1) Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic
2007	—	`ed.`	Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II ICANN (2) Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic
2006	—	`conf`	Error Entropy Minimization for LSTM Training. ICANN (1) Luís A. Alexandre, Joaquim Marques de Sá
2006	J	`jnl`	Error Entropy in Classification Problems: A Univariate Data Analysis. Neural Comput. Luís M. Silva, Carlos S. Felgueiras, Luís A. Alexandre, 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
2006	—	`conf`	New developments of the Z-EDM algorithm. ISDA (1) Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
2005	—	`conf`	Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. ICANN (2) Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre
2005	—	`conf`	Neural Network Classification: Maximizing Zero-Error Density. ICAPR (1) Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá
2005	B	`conf`	Neural network classification using Shannon's entropy. ESANN Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
2005	B	`conf`	Perceptron Learning with Discrete Weights. ESANN Joaquim Marques de Sá, Carlos S. Felgueiras
2004	—	`conf`	Neural Network Classification Using Error Entropy Minimization. WIRN Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá
2004	—	`conf`	Neural Network Learning: Testing Bounds on Sample Complexity. PRIS Joaquim Marques de Sá, Fernando Sereno, Luís A. Alexandre
2003	—	`conf`	Statistical comparison of three analysis methods of fBm sequences. ISSPA (1) Patrícia Vieira, Joaquim Marques de Sá, João Bernardes
1991	—	`conf`	A Data Base Management System for an Obstetrics Department. MIE J. F. Luís, M. Filomena Cardoso, João Bernardes, Joaquim Marques de Sá, L. Pereira Leite