| Applying logistic regression to relevance feedback in image retrieval systems T León, P Zuccarello, G Ayala, E de Ves, J Domingo Pattern Recognition 40 (10), 2621-2632, 2007 | 83 | 2007 |
| Segmentation of macular fluorescein angiographies. A statistical approach A Simó, E de Ves Pattern Recognition 34 (4), 795-809, 2001 | 74 | 2001 |
| Girls4STEM: Gender diversity in STEM for a sustainable future X Benavent, E de Ves, A Forte, C Botella-Mascarell, E López-Iñesta, ... Sustainability 12 (15), 6051, 2020 | 71 | 2020 |
| A novel Bayesian framework for relevance feedback in image content-based retrieval systems E de Ves, J Domingo, G Ayala, P Zuccarello Pattern Recognition 39 (9), 1622-1632, 2006 | 62 | 2006 |
| Multimedia information retrieval based on late semantic fusion approaches: Experiments on a wikipedia image collection X Benavent, A Garcia-Serrano, R Granados, J Benavent, E de Ves IEEE Transactions on Multimedia 15 (8), 2009-2021, 2013 | 41 | 2013 |
| A statistical model for magnitudes and angles of wavelet frame coefficients and its application to texture retrieval E de Ves, D Acevedo, A Ruedin, X Benavent Pattern Recognition 47 (9), 2925-2939, 2014 | 35 | 2014 |
| A relevance feedback CBIR algorithm based on fuzzy sets M Arevalillo-Herráez, M Zacarés, X Benavent, E de Ves Signal Processing: Image Communication 23 (7), 490-504, 2008 | 31 | 2008 |
| Selecting the structuring element for morphological texture classification E de Ves, X Benavent, G Ayala, J Domingo Pattern Analysis and applications 9, 48-57, 2006 | 25 | 2006 |
| A novel dynamic multi-model relevance feedback procedure for content-based image retrieval E de Ves, X Benavent, I Coma, G Ayala Neurocomputing 208, 99-107, 2016 | 24 | 2016 |
| Experiences at ImageCLEF 2010 using CBIR and TBIR Mixing Information Approaches. J Benavent, X Benavent, E de Ves, R Granados, A García-Serrano CLEF (Notebook Papers/LABs/Workshops), 2010 | 23 | 2010 |
| A new wavelet-based texture descriptor for image retrieval E de Ves, A Ruedin, D Acevedo, X Benavent, L Seijas Computer Analysis of Images and Patterns: 12th International Conference …, 2007 | 21 | 2007 |
| Irregular motion recovery in fluorescein angiograms J Domingo, G Ayala, A Simó, E de Ves, L Martínez-Costa, P Marco Pattern Recognition Letters 18 (8), 805-821, 1997 | 21 | 1997 |
| An active contour model for the automatic detection of the fovea in fluorescein angiographies J Gutierrez, I Epifanio, E De Ves, FJ Ferri Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 20 | 2000 |
| Iniciativas contra la brecha de género en STEM. Una guía de buenas prácticas C Botella, E López-Iñesta, S Rueda, A Forte, E De Ves, ... Asociación de Enseñantes Universitarios de la Informática (AENUI), 2020 | 19 | 2020 |
| Modeling user preferences in content-based image retrieval: A novel attempt to bridge the semantic gap E de Ves, G Ayala, X Benavent, J Domingo, E Dura Neurocomputing 168, 829-845, 2015 | 18 | 2015 |
| Macular edema computer-aided evaluation in ocular vein occlusions L Martınez-Costa, P Marco, G Ayala, E De Ves, J Domingo, A Simó Computers and biomedical research 31 (5), 374-384, 1998 | 16 | 1998 |
| Wavelet-based texture retrieval modeling the magnitudes of wavelet detail coefficients with a generalized Gamma distribution E de Ves, X Benavent, A Ruedin, D Acevedo, L Seijas 2010 20th International Conference on Pattern Recognition, 221-224, 2010 | 15 | 2010 |
| Multimodal Information Approaches for the Wikipedia Collection at ImageCLEF 2011. R Granados, J Benavent, X Benavent, E de Ves, A García-Serrano CLEF (Notebook Papers/Labs/Workshop), 2011 | 13 | 2011 |
| Resuming shapes with applications A Simó, E De Ves, G Ayala Journal of Mathematical Imaging and Vision 20, 209-222, 2004 | 13 | 2004 |
| FCA-based knowledge representation and local generalized linear models to address relevance and diversity in diverse social images X Benavent, A Castellanos, E de Ves, A Garcia-Serrano, J Cigarran Future Generation Computer Systems 100, 250-265, 2019 | 12 | 2019 |
Juan DomingoUniversity of ValenciaVerified email at uv.es
