| Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets A Salazar, L Vergara, G Safont Expert Systems with Applications 163, 113819, 2021 | 80 | 2021 |
| Semi-supervised learning for imbalanced classification of credit card transaction A Salazar, G Safont, L Vergara 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 51 | 2018 |
| Combination of multiple detectors for EEG based biometric identification/authentication G Safont, A Salazar, A Soriano, L Vergara 2012 IEEE international carnahan conference on security technology (ICCST …, 2012 | 48 | 2012 |
| Automatic credit card fraud detection based on non-linear signal processing A Salazar, G Safont, A Soriano, L Vergara 2012 IEEE International Carnahan Conference on Security Technology (ICCST …, 2012 | 45 | 2012 |
| On the fusion of non-independent detectors L Vergara, A Soriano, G Safont, A Salazar Digital Signal Processing 50, 24-33, 2016 | 40 | 2016 |
| Multiclass alpha integration of scores from multiple classifiers G Safont, A Salazar, L Vergara Neural Computation 31 (4), 806-825, 2019 | 38 | 2019 |
| Surrogate techniques for testing fraud detection algorithms in credit card operations A Salazar, G Safont, L Vergara 2014 International Carnahan Conference on Security Technology (ICCST), 1-6, 2014 | 37 | 2014 |
| On recovering missing ground penetrating radar traces by statistical interpolation methods G Safont, A Salazar, A Rodriguez, L Vergara Remote Sensing 6 (8), 7546-7565, 2014 | 36 | 2014 |
| Pattern recognition techniques for provenance classification of archaeological ceramics using ultrasounds A Salazar, G Safont, L Vergara, E Vidal Pattern Recognition Letters 135, 441-450, 2020 | 30 | 2020 |
| Semi-supervised Bayesian classification of materials with impact-echo signals J Igual, A Salazar, G Safont, L Vergara Sensors 15 (5), 11528-11550, 2015 | 30 | 2015 |
| Estimating the Laplacian matrix of Gaussian mixtures for signal processing on graphs J Belda, L Vergara, A Salazar, G Safont Signal Processing 148, 241-249, 2018 | 29 | 2018 |
| Probabilistic distance for mixtures of independent component analyzers G Safont, A Salazar, L Vergara, E Gomez, V Villanueva IEEE Transactions on Neural Networks and Learning Systems 29 (4), 1161-1173, 2017 | 28 | 2017 |
| Vector score alpha integration for classifier late fusion G Safont, A Salazar, L Vergara Pattern Recognition Letters 136, 48-55, 2020 | 27 | 2020 |
| Multichannel dynamic modeling of non-Gaussian mixtures G Safont, A Salazar, L Vergara, E Gómez, V Villanueva Pattern Recognition 93, 312-323, 2019 | 26 | 2019 |
| Signal processing on graphs for improving automatic credit card fraud detection L Vergara, A Salazar, J Belda, G Safont, S Moral, S Iglesias 2017 International Carnahan Conference on Security Technology (ICCST), 1-6, 2017 | 26 | 2017 |
| A new surrogating algorithm by the complex graph Fourier transform (CGFT) J Belda, L Vergara, G Safont, A Salazar, Z Parcheta Entropy 21 (8), 759, 2019 | 21 | 2019 |
| Image applications of agglomerative clustering using mixtures of non-Gaussian distributions A Salazar, J Igual, G Safont, L Vergara, A Vidal 2015 International Conference on Computational Science and Computational …, 2015 | 21 | 2015 |
| Estimation of the number of endmembers in hyperspectral images using agglomerative clustering J Prades, G Safont, A Salazar, L Vergara Remote Sensing 12 (21), 3585, 2020 | 20 | 2020 |
| Computing the partial correlation of ICA models for non-Gaussian graph signal processing J Belda, L Vergara, G Safont, A Salazar Entropy 21 (1), 22, 2018 | 18 | 2018 |
| Combination of multiple detectors for credit card fraud detection A Salazar, G Safont, A Rodriguez, L Vergara 2016 IEEE International Symposium on Signal Processing and Information …, 2016 | 16 | 2016 |
Addisson SalazarUniversitat Politècnica de ValenciaVerified email at dcom.upv.es
