Producción científica
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R. Del Amor, J. Pérez-Cano, M. López-Pérez, L. Terradez, J. Aneiros-Fernández, S. Morales, J. Mateos Delgado, R. Molina Soriano
and
V. Naranjo,
"Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset", Artificial Intelligence in Medicine, vol.145
, 102686-, 2023
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M.Á. Ruiz Fresneda, A. Gijón-Gijón
and
P. Morales Álvarez,
"Bibliometric analysis of the global scientific production on machine learning applied to different cancer types", Environmental Science and Pollution Research, vol.30
, 96125-96137, 2023
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M. López Pérez, P. Morales Álvarez, L.A.D. Cooper, R. Molina Soriano
and
A.K. Katsaggelos ,
"Deep Gaussian Processes for classification with multiple noisy annotators. Application to breast cancer tissue classification", IEEE Access, vol.11
, 6922-6934, 2023
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S. López, J. Mateos Delgado, R. Molina Soriano
and
A. K Katsaggelos,
"Learning Moore-Penrose based residuals for robust non-blind image deconvolution", Digital Signal Processing, vol.142
, 104193-, 2023
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A. Schmidt, P. Morales Álvarez
and
R. Molina Soriano,
"Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning", IEEE Transactions on Neural Networks and Learning Systems
, -, 2023
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P. Ruiz Matarán, P. Morales Álvarez, S. Coughlin, R. Molina Soriano
and
A.K. Katsaggelos ,
"Probabilistic fusion of crowds and experts for the search of gravitational waves", Knowledge-Based Systems
, -, 2023
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M. López Pérez
and
R. Molina Soriano,
"Métodos probabilísticos para la detección automática de cáncer en imágenes histológicas", "III Congreso Nacional - V Jornadas de Investigadores/as en Formación: Fomentando la interdisciplinariedad (JIFFI)", None-None, 2022
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F. Pérez Bueno
"Pint of Science Granada", "Pint of Science", None-None, 2022
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Última actualización del SICA: 25/03/2026
junio 2026
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