Jorge M. Santos
Jorge M. Santos
Email confirmado em
Citado por
Citado por
On the use of the adjusted rand index as a metric for evaluating supervised classification
JM Santos, M Embrechts
International conference on artificial neural networks, 175-184, 2009
High-content analysis of breast cancer using single-cell deep transfer learning
C Kandaswamy, LM Silva, LA Alexandre, JM Santos
Journal of biomolecular screening 21 (3), 252-259, 2016
Using different cost functions to train stacked auto-encoders
T Amaral, LM Silva, LA Alexandre, C Kandaswamy, JM Santos, JM de Sá
2013 12th Mexican international conference on artificial intelligence, 114-120, 2013
Improving deep neural network performance by reusing features trained with transductive transference
C Kandaswamy, LM Silva, LA Alexandre, JM Santos, JM de Sá
Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014
Improving transfer learning accuracy by reusing stacked denoising autoencoders
C Kandaswamy, LM Silva, LA Alexandre, R Sousa, JM Santos, JM de Sá
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014
Legclust—a clustering algorithm based on layered entropic subgraphs
JM Santos, JM de Sá, LA Alexandre
IEEE Transactions on pattern analysis and machine intelligence 30 (1), 62-75, 2007
Minimum error entropy classification
JPM de Sá, LMA Silva, JMF Santos, LA Alexandre
Springer, 2013
The error entropy minimization algorithm for neural network classification
JM Santos, LA Alexandre, JM de Sá
int. conf. on recent advances in soft computing, 92-97, 2004
Transfer learning using rotated image data to improve deep neural network performance
T Amaral, LM Silva, LA Alexandre, C Kandaswamy, JM de Sá, JM Santos
Image Analysis and Recognition: 11th International Conference, ICIAR 2014 …, 2014
Modular neural network task decomposition via entropic clustering
JM Santos, LA Alexandre, JM De Sa
Sixth international conference on intelligent systems design and …, 2006
Practice motivation and life satisfaction of athletes of team sports: Comparative study between adapted and regular sport
M Batista, A Lercas, J Santos, S Honório, J Serrano, J Petrica
Universidad de Alicante. Área de Educación Física y Deporte, 2019
Using personas for supporting user modeling on scheduling systems
A Madureira, B Cunha, JP Pereira, S Gomes, I Pereira, JM Santos, ...
2014 14th International Conference on Hybrid Intelligent Systems, 279-284, 2014
Optimization of the error entropy minimization algorithm for neural network classification
JM Santos, JM de Sá, LA Alexandre, F Sereno
Intelligent engineering systems through artificial neural networks 14, 81-86, 2004
Deep transfer learning ensemble for classification
C Kandaswamy, LM Silva, LA Alexandre, JM Santos
Advances in Computational Intelligence: 13th International Work-Conference …, 2015
Characteristics of the first 80 patients at timepoint of first assessment included in the juvenile systemic sclerosis inception cohort
I Foeldvari, J Klotsche, KS Torok, O Kasapcopur, A Adrovic, V Stanevica, ...
J Scleroderma Relat Disord 4, 1-13, 2018
CAMBADA'2014: Team Description Paper
R Dias, F Amaral, JL Azevedo, R Castro, B Cunha, J Cunha, P Dias, ...
Proceedings Robocup 2013, 2013
Data classification with neural networks and entropic criteria
JMF Santos
Improving performance on problems with few labelled data by reusing stacked auto-encoders
T Amaral, C Kandaswamy, LM Silva, LA Alexandre, JM De Sa, JM Santos
2014 13th International Conference on Machine Learning and Applications, 367-372, 2014
Neural networks trained with the EEM algorithm: tuning the smoothing parameter
MS JORGE, JM DE SÁ, LA Alexandre
WSEAS Transactions on Systems 4 (4), 2005
Prototype of an adaptive decision support system for interactive scheduling with metacognition and user modeling experience
A Madureira, S Gomes, B Cunha, JP Pereira, JM Santos, I Pereira
2014 Sixth World Congress on Nature and Biologically Inspired Computing …, 2014
O sistema não pode efectuar a operação agora. Tente mais tarde.
Artigos 1–20