Computational Intelligence and Image Analysis
Lines of Research
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A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization – NEUROCOMPUTING
Fernandez-Rodriguez, JD; Palomo, EJ; Benito-Picazo, J; Domfnguez, E; Lopez-Rubio, E; Ortega-Zamorano, F – 2023 – 10.1016/j.neucom.2023.126288
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection – NEURAL COMPUTING & APPLICATIONS
Fuentes-Fino, R; Calderon-Ramirez, S; Dominguez, E; Lopez-Rubio, E; Elizondo, D; Molina-Cabello, MA – 2023 – 10.1007/s00521-023-08904-3
Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering – Computer Applications in Engineering Education
Molina-Cabello M.A., Thurnhofer-Hemsi K., Molina-Cabello D., Palomo E.J. – 2023 – 10.1002/cae.22597
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos – INTEGRATED COMPUTER-AIDED ENGINEERING
Fernandez-Rodriguez, JD; Garcia-Gonzalez, J; Benitez-Rochel, R; Molina-Cabello, MA; Ramos-Jimenez, G; Lopez-Rubio, E – 2023 – 10.3233/ICA-230706
Automated labeling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks – PATTERN RECOGNITION LETTERS
Garcia-Aguilar, I; Garcia-Gonzalez, J; Luque-Baena, RM; Lopez-Rubio, E – 2023 – 10.1016/j.patrec.2023.01.015
Dynamic learning rates for continual unsupervised learning – INTEGRATED COMPUTER-AIDED ENGINEERING
Fernandez-Rodriguez, JD; Palomo, EJ; Ortiz-De-Lazcano-Lobato, JM; Ramos-Jimenez, G; Lopez-Rubio, E – 2023 – 10.3233/ICA-230701
Female Breadwinner: More Egalitarian Couples? An International Comparison
Khamis, N; Ayuso, L – 2022
Improved detection of small objects in road network sequences using CNN and super resolution
Garcia-Aguilar, I; Luque-Baena, RM; Lopez-Rubio, E – 2022
Money Management and Subjective Well-being in Couples
Requena, F; Ayuso, L – 2022
Spanish citizens’ opinions on future trends in cardiology as expressed in digital ecosystems.
Rodriguez-Capitan, J; Vaccaro-Witt, GF; Cabrera-Lara, FE; Gomez-Doblas, JJ; Pavon, FJ; Crespo-Leiro, MG; Pelaez-Sanchez, JI; Jimenez-Navarro, M – 2022
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica
Calderon-Ramirez, S; Murillo-Hernandez, D; Rojas-Salazar, K; Elizondo, D; Yang, SX; Moemeni, A; Molina-Cabello, M – 2022
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
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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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