Jorge M. Santos
Jorge M. Santos
Verified email at isep.ipp.pt
Title
Cited by
Cited by
Year
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
2582009
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
482016
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
482007
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
472013
Improving deep neural network performance by reusing features trained with transductive transference
C Kandaswamy, LM Silva, LA Alexandre, JM Santos, JM de Sá
International Conference on Artificial Neural Networks, 265-272, 2014
372014
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
322004
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
312014
Modular neural network task decomposition via entropic clustering
JM Santos, LA Alexandre, JM De Sa
Sixth international conference on intelligent systems design and …, 2006
262006
Minimum error entropy classification
JPM de Sá, LMA Silva, JMF Santos, LA Alexandre
Springer, 2013
242013
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
International Conference Image Analysis and Recognition, 290-300, 2014
202014
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
182004
Data classification with neural networks and entropic criteria
JMF Santos
15*2007
Improving performance on problems with few labelled data by reusing stacked auto-encoders
T Amaral, C Kandaswamy, LM Silva, LA Alexandre, JM de Sá, JM Santos
2014 13th International Conference on Machine Learning and Applications, 367-372, 2014
142014
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
142005
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
112014
Batch-sequential algorithm for neural networks trained with entropic criteria
JM Santos, JM De Sá, LA Alexandre
International Conference on Artificial Neural Networks, 91-96, 2005
112005
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
102014
Human clustering on bi-dimensional data: An assessment
JM Santos, JM de Sá
Techical Report 1, 2005
92005
Deep transfer learning ensemble for classification
C Kandaswamy, LM Silva, LA Alexandre, JM Santos
International Work-Conference on Artificial Neural Networks, 335-348, 2015
82015
Using a clustering similarity measure for feature selection in high dimensional data sets
JM Santos, S Ramos
2010 10th International Conference on Intelligent Systems Design and …, 2010
82010
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