Listar por autor "Maza Quiroga, Rosa María"
Mostrando ítems 1-5 de 5
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A novel continual learning approach for competitive neural networks
Fernández Rodríguez, José David; Maza Quiroga, Rosa María; Palomo-Ferrer, Esteban Jose
; Ortiz-de-Lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel (2022)
Continual learning tries to address the stability-plasticity dilemma to avoid catastrophic forgetting when dealing with non-stationary distributions. Prior works focused on supervised or reinforcement learning, but few ... -
Análisis de citoquinas en pacientes adictos a la cocaína
(2018-03-05)La adicción a la cocaína es un problema de salud creciente, siendo España el país de la Unión Europea donde se produce el mayor consumo de esta sustancia. La adicción conlleva el desarrollo de comorbilidad psiqui atrica, ... -
Analysis of functional connectome pipelines for the diagnosis of autism spectrum disorders
Maza Quiroga, Rosa María; Lopez-Rodriguez, Domingo; Thurnhofer-Hemsi, Karl; Luque-Baena, Rafael Marcos; Jiménez Valverde, Clara; López-Rubio, Ezequiel[et al.] (2022-05)
This paper explores the effect of using different pipelines to compute connectomes (matrices representing brain connections) and use them to train machine learning models with the goal of diagnosing Autism Spectrum ... -
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment
Molina-Cabello, Miguel Angel; Thurnhofer Hemsi, Karl; Maza Quiroga, Rosa María; Domínguez, Enrique; López-Rubio, Ezequiel; Molina-Cabello, Miguel Angel[et al.] (2021)
Skin cancer is one of the most prevalent diseases among people. Physicians have a challenge every time they have to determine whether a diseased skin is benign or malign. There exist clinical diagnosis methods (such as ... -
Predicción de enfermedades cardiovasculares mediante algoritmos de inteligencia artificial
(2020-11-24)La Inteligencia Artificial (AI) ha sido un tema muy hablado en las últimas décadas, y sus potenciales aplicaciones en la medicina han siempre sido reconocidas. Hay mucha gente trabajando para implementar la tecnología ...