Computational Intelligence and Image Analysis
Lines of Research
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Assignment of Custody after Divorce. Differences and Similarities in the Case of Dissolutions of Heterosexual and Homosexual Couples
Becerril-Ruiz, D; Jimenez-Cabello, J; Garcia-Moreno, JM – 2021
Using Formal Grammars as Musical Genome
Albarracin-Molina, DD; Raglio, A; Rivas-Ruiz, F; Vico, FJ – 2021
Bayesian and Neural Inference on LSTM-Based Object Recognition From Tactile and Kinesthetic Information.
Pastor, F; Garcia-Gonzalez, J; Gandarias, JM; Medina, D; Closas, P; Garcia-Cerezo, AJ; Gomez-de-Gabriel, JM – 2021
Characterizing Highly Cited Papers in Mass Cytometry through H-Classics
Di Zeo-Sanchez, DE; Sanchez-Nunez, P; Stephens, C; Lucena, MI – 2021
Citation Classics in Consumer Neuroscience, Neuromarketing and Neuroaesthetics: Identification and Conceptual Analysis
Sanchez-Nunez, P; Cobo, MJ; Vaccaro, G; Pelaez, JI; Herrera-Viedma, E – 2021
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images
Calderon-Ramirez, S; Yang, SX; Moemeni, A; Elizondo, D; Colreavy-Donnelly, S; Chavarria-Estrada, LF; Molina-Cabello, MA – 2021
Data science and molecular biology: prediction and mechanistic explanation
Lopez-Rubio, E; Ratti, E – 2021
Ensemble ellipse fitting by spatial median consensus
Thurnhofer-Hemsi, K; Lopez-Rubio, E; Blazquez-Parra, EB; Ladron-de-Guevara-Munoz, MC; de-Cozar-Macias, OD – 2021
Fuzzy Logic Applied to System Monitors
Khan, N; Elizondo, DA; Deka, L; Molina-Cabello, MA – 2021
Background subtraction by probabilistic modeling of patch features learned by deep autoencoders
Garcia-Gonzalez, J; Ortiz-de-Lazcano-Lobato, JM; Luque-Baena, RM; Lopez-Rubio, E – 2020
The Big Data razor
Lopez-Rubio, E – 2020
Comparison matrix geometric index: A qualitative online reputation metric
Vaccaro, G; Cabrera, FE; Pelaez, JI; Vargas, LG – 2020
The Contagion of Sentiments during the COVID-19 Pandemic Crisis: The Case of Isolation in Spain
Iglesias-Sanchez, PP; Witt, GFV; Cabrera, FE; Jambrino-Maldonado, C – 2020
Content based image retrieval by ensembles of deep learning object classifiers
Hamreras, S; Boucheham, B; Molina-Cabello, MA; Benitez-Rochel, R; Lopez-Rubio, E – 2020
The effect of downsampling-upsampling strategy on foreground detection algorithms
Molina-Cabello, MA; Garcia-Gonzalez, J; Luque-Baena, RM; Lopez-Rubio, E – 2020
Daily music listening to reduce work-related stress: a randomized controlled pilot trial
Raglio, A; Bellandi, D; Gianotti, M; Zanacchi, E; Gnesi, M; Monti, MC; Montomoli, C; Vico, F; Imbriani, C; Giorgi, I; Imbriani, M – 2020
The Effects of COVID-19 Confinement on the Spanish Family: Adaptation or Change?
Ayuso, L; Requena, F; Jimenez-Rodriguez, O; Khamis, N – 2020
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting
Thurnhofer-Hemsi, K; Lopez-Rubio, E; Dominguez, E; Luque-Baena, RM; Roe-Vellve, N – 2020
The Forbidden Region Self-Organizing Map Neural Network
Ramos, AD; Lopez-Rubio, E; Palomo, EJ – 2020
Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras
Benito-Picazo, J; Dominguez, E; Palomo, EJ; Lopez-Rubio, E – 2020
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Members
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Researcher in ChargeSerá Investigador de este nivel los Investigadores Responsable que lideren un grupo de investigación del Instituto y sus Co-IR. Esta categoría puede incluir investigadores muy excepcionales en su disciplina.

Ezequiel López Rubio
Email: ezeqlr@lcc.uma.es
ORCID
SCOPUS
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Investigador/a SéniorSerán aquellos que tengan una actividad investigadora de al menos 5 años en la etapa posdoctoral. Estos investigadores estarán adscritos a un Grupo de Investigación liderado por un Investigador Responsable. Las funciones serán las que le tenga asignadas su IR.
Pueden liderar una línea de investigación de alguno de los grupos de investigación del Instituto, con financiación competitiva propia, y con potencial para llegar a convertirse responsable de un grupo de investigación.
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Investigadores/as posdoctorales y/o juniorEsta etapa posdoctoral estará restringida a Investigadores del Instituto que tengan el título doctor y no contemplados en los perfiles posteriores. Durante su etapa posdoctoral pueden llegar a liderar proyectos de I+D+i como Investigadores Principales, aunque aún no hayan establecido un nivel significativo de independencia. Además, pueden tener actividades de docencia y/o asistencial más allá de su trabajo de investigación.
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Investigadores/as predoctorales y/o en formación
Los investigadores predoctorales y/o en formación serán aquellos investigadores que realizan investigaciones bajo supervisión en una línea de investigación orientada a la resolución de problemas de salud. Incluye aquellos investigadores que están cursando un doctorado (incluyendo a los contratados Río Hortega)
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