Computational Intelligence and Image Analysis
Lines of Research
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Characterizing Highly Cited Papers in Mass Cytometry through H-Classics
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
Impact of Visual Design Elements and Principles in Human Electroencephalogram Brain Activity Assessed with Spectral Methods and Convolutional Neural Networks
Cabrera, FE; Sanchez-Nunez, P; Vaccaro, G; Pelaez, JI; Escudero, J – 2021
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.
Calderon-Ramirez, S; Yang, SX; Moemeni, A; Colreavy-Donnelly, S; Elizondo, DA; Oala, L; Rodriguez-Capitan, J; Jimenez-Navarro, M; Lopez-Rubio, E; Molina-Cabello, MA – 2021
Online Networks and Subjective Well-Being: The Effect of Big Five Personality Traits
Requena, F; Ayuso, L – 2021
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks
Garcia-Gonzalez, J; Molina-Cabello, MA; Luque-Baena, RM; Ortiz-de-Lazcano-Lobato, JM; Lopez-Rubio, E – 2021
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting
Thurnhofer-Hemsi, K; Lopez-Rubio, E; Dominguez, E; Elizondo, DA – 2021
Algorithmic Music for Therapy: Effectiveness and Perspectives
Raglio, A; Baiardi, P; Vizzari, G; Imbriani, M; Castelli, M; Manzoni, S; Vico, F; Manzoni, L – 2021
The Discovery of Family Policies in Spain: Between Ideology and Pragmatism
Sanchez, LA; Jimenez, MB – 2021
Anomalous object detection by active search with PTZ cameras
Lopez-Rubio, E; Molina-Cabello, MA; Castro, FM; Luque-Baena, RM; Marin-Jimenez, MJ; Guil, N – 2021
Throwing light on black boxes: emergence of visual categories from deep learning
Lopez-Rubio, E – 2021
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
Foreground detection by ensembles of random polygonal tilings
Molina-Cabello, MA; Elizondo, DA; Luque-Baena, RM; Lopez-Rubio, E – 2020
Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial
Ragho, A; Imbriani, M; Imbriani, C; Baiardi, P; Manzoni, S; Gianotti, M; Castelli, M; Vanneschi, L; Vico, F; Manzoni, L – 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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Co-investigator 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.
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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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