Computational Intelligence and Image Analysis
Lines of Research
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Human Gait Activity Recognition Using Multimodal Sensors – INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
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
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
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
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
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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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