• 1920-2015: un siglo de Visión por Computador 

      Medina-Carnicer, R. (Universidad de Córdoba, 2015)
      Dentro de 5 años se cumplirá exactamente un siglo desde la aparición de esta Ciencia a la que aún seguimos refiriéndonos como Visión por Computador. A diferencia de otras Ciencias, con mucha más tradición, conocemos ...
    • A case-study comparison of machine learning approaches for predicting student’s dropout from multiple online educational entities 

      Porras, José Manuel; Lara, Juan A.; Romero, Cristóbal; Ventura Soto, S. (MDPI, 2023)
      Predicting student dropout is a crucial task in online education. Traditionally, each educational entity (institution, university, faculty, department, etc.) creates and uses its own prediction model starting from its own ...
    • A general framework for boosting feature subset selection algorithms 

      Pérez Rodríguez, Javier; Haro García, Aída de; Romero-del-Castillo, Juan A.; García Pedrajas, Nicolás (Elsevier, 2018)
      Feature selection is one of the most important tasks in many machine learning and data mining problems. Due to the increasing size of the problems, removing useless, erroneous or noisy features is frequently an initial ...
    • A guided data projection technique for classi cation of sovereign ratings: the case of European Union 27 

      Sánchez-Monedero, J.; Campoy-Muñoz, P.; Gutiérrez, P.A.; Hervás-Martínez, César (2017-01-20)
      Sovereign rating has had an increasing importance since the beginning of the nancial crisis. However, credit rating agencies opacity has been criticised by several authors highlighting the suitability of designing more ...
    • A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children 

      Romero Morales, C.; Cerezo, Rebeca; Calderón, Vicente (Elsevier, 2019)
      This paper describes a holographic mobile-based application designed to help Spanish-speaking children to practice the pronunciation of basic English vocabulary words. The mastery of vocabulary is a fundamental step when ...
    • A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation 

      Durán Rosal, Antonio Manuel; Gutiérrez-Peña, Pedro Antonio; Carmona Poyato, Ángel; Hervás-Martínez, César (Elsevier, 2019)
      This paper proposes new methods based on time series segmentation, including the adaptation of the particle swarm optimisation algorithm (PSO) to this problem, and more advanced PSO versions, such as barebones PSO (BBPSO) ...
    • A Methodology for Buildings Access to Solar Radiation in Sustainable Cities 

      Fernández-Ahumada, Luis Manuel; Ramírez Faz, José; López Luque, Rafael; Márquez García, Álvaro; Varo-Martínez, Marta (MDPI, 2019)
      The growing need to improve the environmental and energy sustainability of buildings involves the use of solar radiation incident on their surfaces. However, in cities, this task is complicated due to the constructive ...
    • A new approach for multi-view gait recognition on unconstrained paths 

      Madrid-Cuevas, F.J.; Carmona Poyato, Ángel; Muñoz-Salinas, Rafael; Medina-Carnicer, R.; López-Fernández, D. (2017)
      Direction changes cause di culties for most of the gait recognition systems, due to appearance changes. We propose a new approach for multi-view gait recognition, which focuses on recognizing people walking on unconstrained ...
    • A new approach for optimal offline time-series segmentation with error bound guarantee 

      Carmona Poyato, Ángel; Fernández García, Nicolás Luis; Madrid-Cuevas, F.J.; Durán Rosal, Antonio Manuel (Elsevier, 2021)
      This paper proposes a new optimal approach, called OSFS, based on feasible space (FS) Liu et al. (2008)[, that minimizes the number of segments of the approximation and guarantees the error bound using the L∞-norm. On the ...
    • A new approach for optimal time-series segmentation 

      Carmona Poyato, Ángel; Fernández García, Nicolás Luis; Madrid-Cuevas, F.J.; Durán Rosal, Antonio Manuel (Elsevier, 2020)
      This paper proposes a new optimal approach, called OSTS, to improve the segmentation of time series. The proposed method is based on A* algorithm and it uses an improved version of the well-known Salotti method for obtaining ...
    • A New Clustering Algorithm Based on Pattern Extraction in Molecular Fingerprints 

      Palacios Bejarano, Bernardo; Cerruela García, Gonzalo; Luque Ruiz, Irene; García-Pedrajas, Nicolás; Gómez-Nieto, Miguel Ángel (2017-12-11)
      In this paper an algorithm for the extraction of patterns in chemical fingerprints is described. As input this algorithm uses a fingerprint representation of the molecule dataset, generating a group of consistent disjoint ...
    • A new thresholding approach for automatic generation of polygonal approximations 

      Fernández García, Nicolás Luis; Moral Martínez, Luis del; Carmona Poyato, Ángel; Medina-Carnicer, R.; Madrid-Cuevas, F.J. (Elsevier, 2016)
      The present paper proposes a new algorithm for automatic generation of polygonal approximations of 2D closed contours based on a new thresholding method. The new proposal computes the signi cance level of the contour points ...
    • A novel backtracking approach for two-axis solar PV tracking plants 

      Fernández-Ahumada, Luis Manuel; Ramírez Faz, José; López Luque, Rafael; Varo-Martínez, Marta; Moreno-García, Isabel; Casares de la Torre, Francisco José (Elsevier, 2020)
      Solar tracking is a technique required to increase energy production in multiple photovoltaic (PV) facilities. In these plants, during low-elevation solar angle hours, shadows appear between the collectors causing a dramatic ...
    • A Novel Low-Cost Sensor Prototype for Monitoring Temperature during Wine Fermentation in Tanks 

      Sainz, Beatriz; Antolín, Jonathan; López-Coronado, Miguel; Castro Lozano, Carlos de (MDPI, 2013)
      This paper presents a multipurpose and low cost sensor for temperature control over the wine fermentation process, in order to steadily communicate data through wireless modules in real time to a viticulturist’s mobile ...
    • A Review of Classification Problems and Algorithms in Renewable Energy Applications 

      Pérez-Ortiz, María; Jiménez-Fernández, Silvia; Gutiérrez, Pedro A.; Alexandre, Enrique; Salcedo Sanz, S.; Hervás-Martínez, César (MDPI, 2016)
      Classification problems and their corresponding solving approaches constitute one of the fields of machine learning. The application of classification schemes in Renewable Energy (RE) has gained significant attention in ...
    • A review on data fusion in multimodal learning analytics and educational data mining 

      Chango, Wilson; Lara, Juan A.; Cerezo, Rebeca; Romero Morales, C. (Wiley, 2022)
      The new educational models such as smart learning environments use of digital and context-aware devices to facilitate the learning process. In this new educational scenario, a huge quantity of multimodal students' data ...
    • A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning 

      Ramírez, Aurora; Feldt, Robert; Romero, José Raúl (Association for Computing Machinery, 2023)
      Most software companies have extensive test suites and re-run parts of them continuously to ensure recent changes have no adverse effects. Since test suites are costly to execute, industry needs methods for test case ...
    • A two-stage algorithm in evolutionary product unit neural networks for classification 

      Tallón-Ballesteros, Antonio J.; Hervás-Martínez, César (Elsevier, 2011)
      This paper presents a procedure to add broader diversity at the beginning of the evolutionary process. It consists of creating two initial populations with different parameter settings, evolving them for a small number of ...
    • A Ubiquitous NFC Solution for the Development of Tailored Marketing Strategies Based on Discount Vouchers and Loyalty Cards 

      Borrego Jaraba, Francisco Manuel; Castro Garrido, María del Pilar; Cerruela García, Gonzalo; Luque Ruiz, Irene; Gómez-Nieto, Miguel Ángel (MDPI, 2013)
      Because of the global economic turmoil, nowadays a lot of companies are adopting a “deal of the day” business model, some of them with great success. Generally, they try to attract and retain customers through discount ...
    • A VR Serious Game to Increase Empathy towards Students with Phonological Dyslexia 

      Alcalde-Llergo, José M.; Yeguas-Bolívar, Enrique; Aparicio Martínez, Pilar; Zingoni, Andrea; Taborri, Juri; Pinzi, Sara (IEEE, 2023)
      Dyslexia is a neurodevelopmental disorder that is estimated to affect about 5-10% of the population. In particular, phonological dyslexia causes problems in connecting the sounds of words with their written forms. This ...