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 | 587 | 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 | 84 | 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 | 65 | 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 | 54 | 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 | 50 | 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 | 47 | 2007 |
Minimum error entropy classification JPM de Sá, LMA Silva, JMF Santos, LA Alexandre Springer, 2013 | 36 | 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 | 35 | 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 | 29 | 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 | 26 | 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 | 25 | 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 | 23 | 2014 |
Deep transfer learning ensemble for classification C Kandaswamy, LM Silva, LA Alexandre, JM Santos Advances in Computational Intelligence: 13th International Work-Conference …, 2015 | 21 | 2015 |
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 | 21 | 2004 |
CAMBADA'2014: Team Description Paper R Dias, F Amaral, JL Azevedo, R Castro, B Cunha, J Cunha, P Dias, ... Proceedings Robocup 2013, 2013 | 19 | 2013 |
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 | 18 | 2018 |
Data classification with neural networks and entropic criteria JMF Santos | 18* | 2007 |
Lesion volume quantification using two convolutional neural networks in MRIs of multiple sclerosis patients M de Oliveira, M Piacenti-Silva, FCG da Rocha, JM Santos, JS Cardoso, ... Diagnostics 12 (2), 230, 2022 | 16 | 2022 |
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 | 16 | 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 | 14 | 2005 |