Producción científica
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| Publicación |
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Á. Esteban, M. López Pérez
and
R. Molina Soriano,
"A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes", Computer Methods and Programs in Biomedicine, vol.178
, 303-317, 2019
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S. Coughlin, S. Bahaadini, N. Rohani, M. Zevin, O. Patane, M. Harandi, C. Jackson, V. Noroozi, S. Allen, J. Areeda, M. Coughlin, P. Ruiz Matarán, C. Berry, K. Crowston, A. Katsaggelos, A. Lundgren, C. Osterlund, J. Smith , L. Trouille
and
V. Kalogera,
"Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning", Physical Review D, vol.99
, -, 2019
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S. López, R. Molina Soriano
and
N. Pérez De La Blanca Capilla,
"Deep CNNs for Object Detection using Passive Millimeter Sensors", IEEE Transactions on Circuits and Systems for Video Technology, vol.29
, 2580-2589, 2019
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A. Lucas, S. López, R. Molina Soriano
and
A. K Katsaggelos,
"Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution", IEEE Transactions on Image Processing, vol.28
, 3312-3327, 2019
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P. Ruiz Matarán, P. Morales Álvarez, R. Molina Soriano
and
A. K-Katsaggelos,
"Learning from crowds with variational Gaussian processes", Pattern recognition, vol.88
, 238-311, 2019
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P. Morales Álvarez, P. Ruiz Matarán, R. Santos-Rodíguez, R. Molina Soriano
and
A. Katsaggelos,
"Scalable and efficient learning from crowds with Gaussian processes", Information Fusion, vol.52
, 110-127, 2019
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N. Hidalgo-Gavira, J. Mateos Delgado, M. Vega López, R. Molina Soriano
and
A.K. Katsaggelos ,
"Variational Bayesian Blind Color Deconvolution of Histopathological Images", IEEE Transactions on Image Processing, vol.29
, 2026-2036, 2019
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J.G. Serra Pérez, J. Mateos Delgado, R. Molina Soriano
and
A.K. Katsaggelos ,
"Variational EM Method for Blur Estimation using the Spike-and-Slab Image Prior", Digital Signal Processing, vol.88
, 116-129, 2019
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Última actualización del SICA: 25/03/2026
junio 2026
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