| 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 | 87 | 2021 |
| A case study of knowledge discovery on academic achievement, student desertion and student retention A Salazar, J Gosalbez, I Bosch, R Miralles, L Vergara ITRE 2004. 2nd International Conference Information Technology: Research and …, 2004 | 70 | 2004 |
| Learning material defect patterns by separating mixtures of independent component analyzers from NDT sonic signals A Salazar, L Vergara, R Llinares Mechanical Systems and Signal Processing 24 (6), 1870-1886, 2010 | 56 | 2010 |
| 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 | 55 | 2018 |
| Fusion of scores in a detection context based on alpha integration A Soriano, L Vergara, B Ahmed, A Salazar Neural Computation 27 (9), 1983-2010, 2015 | 54 | 2015 |
| 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 | 50 | 2012 |
| A general procedure for learning mixtures of independent component analyzers A Salazar, L Vergara, A Serrano, J Igual Pattern Recognition 43 (1), 69-85, 2010 | 48 | 2010 |
| 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 | 47 | 2012 |
| Multiclass alpha integration of scores from multiple classifiers G Safont, A Salazar, L Vergara Neural Computation 31 (4), 806-825, 2019 | 43 | 2019 |
| On the fusion of non-independent detectors L Vergara, A Soriano, G Safont, A Salazar Digital Signal Processing 50, 24-33, 2016 | 43 | 2016 |
| 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 | 38 | 2014 |
| On including sequential dependence in ICA mixture models A Salazar, L Vergara, R Miralles Signal Processing 90 (7), 2314-2318, 2010 | 37 | 2010 |
| 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 |
| Aspiration risk factors, microbiology, and empiric antibiotics for patients hospitalized with community-acquired pneumonia J Marin-Corral, S Pascual-Guardia, F Amati, S Aliberti, JR Masclans, ... Chest 159 (1), 58-72, 2021 | 35 | 2021 |
| Blind source separation for classification and detection of flaws in impact-echo testing A Salazar, L Vergara, J Igual, J Gosalbez Mechanical Systems and Signal Processing 19 (6), 1312-1325, 2005 | 33 | 2005 |
| 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 | 32 | 2020 |
| Semi-blind source extraction of atrial activity by combining statistical and spectral features R Llinares, J Igual, A Salazar, A Camacho Digital Signal Processing 21 (2), 391-403, 2011 | 31 | 2011 |
| 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 | 30 | 2018 |
| 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 |
| Vector score alpha integration for classifier late fusion G Safont, A Salazar, L Vergara Pattern Recognition Letters 136, 48-55, 2020 | 29 | 2020 |
