Luís M. Silva

27 papers B 3C 3Misc 2Journal 8Unranked 10
YearRankTypeTitle / Venue / Authors
2024 — conf
Predicting Employee Attrition in a Multi-company Setting.
IDEAL (1)
Adriano Gomes, Luís M. Silva, João Pedro Cruz
2023 — conf
Data Management for mobile applications dependent on geo-located data.
PaPoC@EuroSys
Nuno M. Santos, Luís M. Silva, João Leitão, Nuno M. Preguiça
2022 J jnl
Geo-located data for better dynamic replication.
CoRR
Luís M. Silva, Frederico Aleixo, Albert van der Linde, João Leitão, Nuno M. Preguiça
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
Multi-source deep transfer learning for cross-sensor biometrics.
Neural Comput. Appl.
Chetak Kandaswamy, João C. Monteiro, Luís M. Silva, Jaime S. Cardoso
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
2016 B conf
Stacked denoising autoencoders for the automatic recognition of microglial cells' state.
ESANN
Sofia Fernandes, Ricardo Gamelas Sousa, Renato Socodato, Luís M. Silva
2015 — conf
Automatic Detection of Immunogold Particles from Electron Microscopy Images.
ICIAR
Ricardo Gamelas Sousa, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Pedro Quelhas, Luís M. Silva
2015 — conf
Deep Transfer Learning Ensemble for Classification.
IWANN (1)
Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos
2015 Misc conf
Source-Target-Source Classification Using Stacked Denoising Autoencoders.
IbPRIA
Chetak Kandaswamy, Luís M. Silva, Jaime S. Cardoso
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 Misc conf
Application of Artificial Neural Networks to Predict the Impact of Traffic Emissions on Human Health.
EPIA
Tânia Fontes, Luís M. Silva, Sérgio R. Pereira, Margarida C. Coelho
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
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
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 — 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
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
New developments of the Z-EDM algorithm.
ISDA (1)
Luís M. Silva, 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