Computational Intelligence and Image Analysis
Lines of Research
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Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Gorriz, JM; Ramirez, J; Ortiz, A; Martinez-Murcia, FJ; Segovia, F; Suckling, J; Leming, M; Zhang, YD; Alvarez-Sanchez, JR; Bologna, G; Bonomini, P; Casado, FE; Charte, D; Charte, F; Contreras, R; Cuesta-Infante, A; Duro, RJ; Fernandez-Caballero, A; Fernandez-Jover, E; Gomez-Vilda, P; Grana, M; Herrera, F; Iglesias, R; Lekova, A; de Lope, J; Lopez-Rubio, E; Martinez-Tomas, R; Molina-Cabello, MA; Montemayor, AS; Novais, P; Palacios-Alonso, D; Pantrigo, JJ; Payne, BR; Lopez, FD; Pinninghoff, MA; Rincon, M; Santos, J; Thurnhofer-Hemsi, K; Tsanas, A; Varela, R; Ferrandez, JM – 2020
Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems
de las Heras-Pedrosa, C; Sanchez-Nunez, P; Pelaez, JI – 2020
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
Piecewise Polynomial Activation Functions for Feedforward Neural Networks
Lopez-Rubio, E; Ortega-Zamorano, F; Dominguez, E; Munoz-Perez, J – 2019
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences
Garcia-Gonzalez, J; Ortiz-de-Lazcano-Lobato, JM; Luque-Baena, RM; Molina-Cabello, MA; Lopez-Rubio, E – 2019
The influence of habitual consumption of chewing gums in the outcome of masticatory performance tests using two-coloured chewing gums
Vaccaro, G; Pelaez, JI; Gil-Montoya, JA – 2019
Integration of a Mobile Node into a Hybrid Wireless Sensor Network for Urban Environments
Bertiz, CAS; Lozano, JJF; Gomez-Ruiz, JA; Garcia-Cerezo, A – 2019
Automatic identification of characteristic points related to pathologies in electrocardiograms to design expert systems
Pelaez, JI; Gomez-Ruiz, JA; Fornari, J; Vaccaro, GF – 2019
Combining user preferences and expert opinions: a criteria synergy-based model for decision making on the Web
Karanik, M; Bernal, R; Pelaez, JI; Gomez-Ruiz, JA – 2019
Pairwise Voting to Rank Touristic Destinations Based on Preference Valuation
Cabrera, FE; Amaya, M; Witt, GFV; Pelaez, JI – 2019
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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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