Computational Intelligence and Image Analysis
Lines of Research
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Improving Art Style Classification Through Data Augmentation Using Diffusion Models – ELECTRONICS
Improving Medical Image Segmentation Using Test-Time Augmentation with MedSAM – MATHEMATICS
Nazzal, W; Thurnhofer-Hemsi, K; López-Rubio, E – 2024 – 10.3390/math12244003
Natural Language Processing Tools and Workflows for Improving Research Processes – APPLIED SCIENCES-BASEL
Khan, N; Elizondo, D; Deka, L; Molina-Cabello, MA – 2024 – 10.3390/app142411731
Human Gait Activity Recognition Using Multimodal Sensors – INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
Teran-Pineda, D; Thurnhofer-Hemsi, K; Dominguez, E – 2023 – 10.1142/S0129065723500582
Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm – NEURAL COMPUTING & APPLICATIONS
Garcia-Aguilar, I; Garcia-Gonzalez, J; Luque-Baena, RM; Lopez-Rubio, E – 2023 – 10.1007/s00521-023-08741-4
Optimized instance segmentation by super-resolution and maximal clique generation – INTEGRATED COMPUTER-AIDED ENGINEERING
Garcia-Aguilar, I; Garcia-Gonzalez, J; Luque-Baena, RM; Lopez-Rubio, E; Dominguez, E – 2023 – 10.3233/ICA-230700
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit – AXIOMS
Maza-Quiroga, R; Thurnhofer-Hemsi, K; López-Rodríguez, D; López-Rubio, E – 2023 – 10.3390/axioms12121117
Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation – SENSORS
Garcia-Aguilar, I; Luque-Baena, RM; Dominguez, E; Lopez-Rubio, E – 2023 – 10.3390/s23167185
The Economy that Lies Ahead. The Effects of Digital Social Relations on Work Productivity, Coordination and Independence – REVISTA ESPANOLA DE INVESTIGACIONES SOCIOLOGICAS
Requena, F; García-Moreno, JM – 2023 – 10.5477/cis/reis.184.85
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
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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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