Joaquim Marques de Sá

North West Agriculture and Forestry University — China

Computer Science · Physical Sciences

9h-index318citations22works1.02yr avg
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Research Topics

Neural Networks and Applications(11), Domain Adaptation and Few-Shot Learning(5), Blind Source Separation Techniques(5), Face and Expression Recognition(3), Fault Detection and Control Systems(3)

Publications22 total

Construction of hierarchical porous carbon/NiCo2S4 composites by a microwave heating and hydrothermal process for supercapacitors
Diamond and Related Materials·2025· 1 cited
Stacked Denoising Autoencoders and Transfer Learning for Immunogold\n Particles Detection and Recognition
arXiv (Cornell University)·2017Open Access
Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition
arXiv (Cornell University)·2017Open Access
Distribution-Based Categorization of Classifier Transfer Learning
arXiv (Cornell University)·2017Open Access
Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging
Lecture notes in computer science·2015· 6 cited
CLASSIFICATION PERFORMANCE OF MULTILAYER PERCEPTRONS WITH DIFFERENT RISK FUNCTIONALS
International Journal of Pattern Recognition and Artificial Intelligence·2014· 1 cited
Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference
Lecture notes in computer science·2014· 51 cited
Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance
Lecture notes in computer science·2014· 17 cited
Month of birth and risk of multiple sclerosis in a Portuguese population
Clinical Neurology and Neurosurgery·2013· 13 cited
NNIGnets, Neural Networks Software
IFIP International Federation for Information Processing/IFIP·2011· 1 citedOpen Access
The MEE Principle in Data Classification: A Perceptron-Based Analysis
Neural Computation·2010· 16 cited
Data classification with multilayer perceptrons using a generalized error function
Neural Networks·2008· 48 cited
The Influence of the Risk Functional in Data Classification with MLPs
Lecture notes in computer science·2008· 3 cited
Proceedings of the 17th international conference on Artificial neural networks
2007· 87 cited
Artificial neural networks - ICANN 2007 : 17th International Conference, Porto, Portugal, September 9-13, 2007 : proceedings
Springer eBooks·2007
Error Entropy in Classification Problems: A Univariate Data Analysis
Neural Computation·2006· 19 cited
Neural networks trained with the EEM algorithm: tuning the smoothing parameter
2005· 9 cited
Neural Network Classification Using Error Entropy Minimization
2005· 1 cited
Neural Network Classification: Maximizing Zero-Error Density
Lecture notes in computer science·2005· 10 cited
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria
Lecture notes in computer science·2005· 4 cited
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Frequent Co-authors

Luı́s A. Alexandre(16), Luís M. Silva(14), Jorge M. Santos(12), Ricardo Sousa(4), Tiago Esteves(3), Chetak Kandaswamy(2), Sara Rocha(2), Francisco Figueiredo(2), P. Monjardino(2), Pedro Quelhas(2), Włodzisław Duch(1), Danilo P. Mandic(1), Carlos S. Felgueiras(1), Telmo Amaral(1), Pedro Barros(1), María José Sá(1), Mark J. Embrechts(1), Tânia Fontes(1), Vânia Lopes(1), Huayan Zhang(1)