• Clasificación de información táctil para la detección de personas 

      Gandarias-Palacios, Juan M.; Gómez-de-Gabriel, Jesús Manuel; García-Cerezo, Alfonso (2017-09-29)
      Este artículo presenta el diseño de un efector final táctil y la aplicación de técnicas de inteligencia artificial para la detección de personas mediante un brazo manipulador ligero de 6 grados de libertad. Este efector ...
    • Deep Learning to Analyze RNA-Seq Gene Expression Data 

      Urda, Daniel; Montes-Torres, Julio; Moreno, Fernando; Franco, Leonardo; Jerez-Aragonés, José Manuel (Springer, 2017)
      Deep learning models are currently being applied in several areas with great success. However, their application for the analysis of high-throughput sequencing data remains a challenge for the research community due to ...
    • Gait recognition from multiple view-points 

      Castro Payan, Francisco Manuel (UMA Editorial, 2018-11-15)
      Arquitectura de Computadores Resumen tesis: La identificación automática de personas está ganando mucha importancia en los últimos años ya que se puede aplicar en entornos que deben ser seguros (aeropuertos, centrales ...
    • Learning Bayesian Networks for Student Modeling 

      Millán, Eva; Belmonte-Martinez, Maria Victoria; Jiménez, Guiomar; Pérez-de-la-Cruz, José-Luis (2015-07-03)
      In the last decade, there has been a growing interest in using Bayesian Networks (BN) in the student modelling problem. This increased interest is probably due to the fact that BNs provide a sound methodology for this ...
    • Machine learning models to search relevant genetic signatures in clinical context 

      Urda, Daniel; Luque-Baena, Rafael; Franco, Leonardo; Sánchez-Maroño, Noelia; Jerez-Aragonés, José Manuel (2017-06-26)
      Clinicians are interested in the estimation of robust and relevant genetic signatures from gene sequencing data. Many machine learning approaches have been proposed trying to address well-known issues of this complex ...