Luís M. Silva

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 6

Top Topics

Manifold Alignment

Automatic Recognition

Transfer Learning

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

Publications

Nuno M. Santos, Luís M. Silva, João Leitão, Nuno M. Preguiça
Data Management for mobile applications dependent on geo-located data. PaPoC@EuroSys (2023)
Luís M. Silva, Frederico Aleixo, Albert van der Linde, João Leitão, Nuno M. Preguiça
Geo-located data for better dynamic replication. CoRR (2022)
Chetak Kandaswamy, João C. Monteiro, Luís M. Silva, Jaime S. Cardoso
Multi-source deep transfer learning for cross-sensor biometrics. Neural Comput. Appl. 28 (9) (2017)
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)
Sofia Fernandes, Ricardo Gamelas Sousa, Renato Socodato, Luís M. Silva
Stacked denoising autoencoders for the automatic recognition of microglial cells' state. ESANN (2016)
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)
Ricardo Gamelas Sousa, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Pedro Quelhas, Luís M. Silva
Automatic Detection of Immunogold Particles from Electron Microscopy Images. ICIAR (2015)
Chetak Kandaswamy, Luís M. Silva, Jaime S. Cardoso
Source-Target-Source Classification Using Stacked Denoising Autoencoders. IbPRIA (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)
Tânia Fontes, Luís M. Silva, Sérgio R. Pereira, Margarida C. Coelho
Application of Artificial Neural Networks to Predict the Impact of Traffic Emissions on Human Health. EPIA (2013)
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)
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)
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 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)