• Automatic learning of gait signatures for people identification 

      Castro, F.M.; Marín-Jiménez, M.J.; Guil, N.; Pérez de la Blanca, N. (2017-12-05)
      This work targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouettes, in this work we explore the use of ...
    • Autómatas celulares y aplicaciones 

      Cano, Alberto; Rojas, Ángela (FISEM, 2016)
      Un autómata celular es un modelo matemático para un sistema dinámico que evoluciona en pasos discretos. Este trabajo presenta una aplicación de los autómatas celulares para el cifrado de información y el reparto de secretos. ...
    • BiViCyT: Biblioteca Virtual de Documentos Científicos y Técnicos 

      Cerruela García, Gonzalo; Fuentes Alventosa, Javier; Luque Ruiz, Irene; Gómez-Nieto, Miguel Ángel (Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2003)
      In this paper a Web information system devoted to the administration of scientific and technicians documents that are produced by the university community is presented. BiViCyT allows the management of tha administrative ...
    • Borderline kernel based over-sampling 

      Pérez-Ortiz, María; Gutiérrez, Pedro A.; Hervás-Martínez, César (2017-03-30)
      Nowadays, the imbalanced nature of some real-world data is receiving a lot of attention from the pattern recognition and machine learning communities in both theoretical and practical aspects, giving rise to di erent ...
    • Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux 

      Gómez-Orellana, Antonio Manuel; Fernández, Juan Carlos; Dorado Moreno, Manuel; Gutiérrez, Pedro A.; Hervás-Martínez, César (MDPI, 2021)
      Meteorological data are extensively used to perform environmental learning. Soft Computing (SC) and Machine Learning (ML) techniques represent a valuable support in many research areas, but require datasets containing ...
    • Cifrado de imágenes y Matemáticas 

      Rojas, Ángela; Cano, Alberto (Universidad Nacional de La Plata, 2011)
      Un tema que debe interesar al profesorado de Matemáticas de todos los niveles educativos es cómo hacer comprender a nuestros alumnos la utilidad de los conceptos matemáticos que están estudiando en nuestras asignaturas. ...
    • Una clase de aritmética modular, matrices y cifrado para Ingeniería 

      Rojas, Ángela; Cano, Alberto (Federación Iberoamericana de Educación Matemática (FISEM), 2011)
      El Álgebra Lineal tiene una gran cantidad de aplicaciones sin embargo se suele abordar casi siempre de una forma bastante abstracta a nivel universitario. Así que para motivar a nuestro alumnado planificamos realizar ...
    • A Classification Module for Genetic Programming Algorithms in JCLEC 

      Cano, Alberto; Luna, J.M.; Zafra, Amelia; Ventura Soto, S. (MIT Press, 2014)
      JCLEC-Classi cation is a usable and extensible open source library for genetic program- ming classi cation algorithms. It houses implementations of rule-based methods for clas- si cation based on genetic programming, ...
    • Classification Rule Mining with Iterated Greedy 

      Pedraza, Juan A.; García-Martínez, Carlos; Cano, Alberto; Ventura Soto, S. (2017-03-30)
      In the context of data mining, classi cation rule discovering is the task of designing accurate rule based systems that model the useful knowledge that di erentiate some data classes from others, and is present in large ...
    • Comparing Evolutionary Algorithms and Particle Filters for Markerless Human Motion Capture 

      Yeguas-Bolívar, Enrique; Muñoz-Salinas, Rafael; Medina-Carnicer, R.; Carmona Poyato, Ángel (Elsevier, 2014)
      Markerless Human Motion Capture is the problem of determining the joints’ angles of a three-dimensional articulated body model that best matches current and past observations acquired by video cameras. The problem of ...
    • Concurrent Validity and Reliability of an Inertial Measurement Unit for the Assessment of Craniocervical Range of Motion in Subjects with Cerebral Palsy 

      Carmona-Pérez, Cristina; Garrido Castro, Juan Luis; Torres Vidal, Francisco; Alcaraz-Clariana, Sandra; García-Luque, Lourdes; Alburquerque Sendín, Francisco; Rodrigues-de-Souza, Daiana Priscila (MDPI, 2020)
      Objective: This study aimed to determine the validity and reliability of Inertial Measurement Units (IMUs) for the assessment of craniocervical range of motion (ROM) in patients with cerebral palsy (CP). Methods: twenty-three ...
    • Cooperative coevolution of artificial neural network ensembles for pattern classification 

      Ortiz-Boyer, Domingo; Hervás-Martínez, César; García-Pedrajas, Nicolás (IEEE, 2005)
      This paper presents a cooperative coevolutive approach for designing neural network ensembles. Cooperative coevolution is a recent paradigm in evolutionary computation that allows the effective modeling of cooperative ...
    • Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns 

      Al‑Twijri, Mohammed Ibrahim; Luna, J.M.; Herrera, Francisco; Ventura Soto, S. (Springer, 2022)
      To provide a good study plan is key to avoid students’ failure. Academic advising based on student’s preferences, complexity of the semester, or even background knowledge is usually considered to reduce the dropout rate. ...
    • COVNET : A cooperative coevolutionary model for evolving artificial neural networks 

      Muñoz-Pérez, José; Hervás-Martínez, César; García-Pedrajas, Nicolás (IEEE, 2003)
      This paper presents COVNET, a new cooperative coevolutionary model for evolving artificial neural networks. This model is based on the idea of coevolving subnetworks. that must cooperate to form a solution for a specific ...
    • CRIBEL: Lifelong learning social network governed by academic institutions: an affordable serverless model in the cloud 

      Romero-del-Castillo, Juan A.; Mancha-Dieguez, J.; Ortiz-Boyer, Domingo (IATED, 2023)
      Academic institutions, teachers, students and workers are facing important changes in the way they organise work and training in new skills demanded by companies in the face of the new challenges of society in general ...
    • Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor–Recipient Matching? 

      Calleja Lozano, Rafael; Hervás-Martínez, César; Briceño Delgado, Francisco Javier (MDPI, 2022)
      Liver transplantation outcomes have improved in recent years. However, with the emergence of expanded donor criteria, tools to better assist donor–recipient matching have become necessary. Most of the currently proposed ...
    • Cumulative exposure to tacrolimus and incidence of cancer after liver transplantation 

      Rodríguez-Perálvarez, Manuel; Colmenero, Jordi; González, Antonio; Gastaca, Mikel; Curell, Anna; Caballero-Marcos, Aránzazu; Sánchez-Martínez, Ana; Maira, Tommaso Di; Herrero, José Ignacio; Almohalla, Carolina; Lorente, Sara; Cuadrado-Lavín, Antonio; Pascual, Sonia; López-Garrido, María Ángeles; González-Grande, Rocío; Gómez-Orellana, Antonio Manuel; Alejandre, Rafael; Zamora-Olaya, Javier; Bernal-Bellido, Carmen; Chronic immunosuppression, cancer Spanish consortium (Wiley, 2022)
      Cancer is the leading cause of death after liver transplantation (LT). This multicenter case–control nested study aimed to evaluate the effect of maintenance immunosuppression on post-LT malignancy. The eligible cohort ...
    • Design, Validity, and Reliability of a New Test, Based on an Inertial Measurement Unit System, for Measuring Cervical Posture and Motor Control in Children with Cerebral Palsy 

      Carmona-Pérez, Cristina; Pérez-Ruiz, Alberto; Garrido Castro, Juan Luis; Torres Vidal, Francisco; Alcaraz-Clariana, Sandra; García-Luque, Lourdes; Rodrigues-de-Souza, Daiana Priscila; Alburquerque Sendín, Francisco (MDPI, 2020)
      Objective: The aim of this study was to design and propose a new test based on inertial measurement unit (IMU) technology, for measuring cervical posture and motor control in children with cerebral palsy (CP) and to evaluate ...
    • Detecting People Looking at Each Other in Videos 

      Marín-Jiménez, M.J.; Zisserman, A.; Eichner, M.; Ferrari, V. (Springer Nature, 2013)
      The objective of this work is to determine if people are interacting in TV video by detecting whether they are looking at each other or not. We determine both the temporal period of the interaction and also spatially ...
    • Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm 

      Nikolaou, Athanasia; Gutiérrez, Pedro A.; Durán, Antonio; Dicaire, Isabelle; Fernández-Navarro, Francisco; Hervás-Martínez, César (2017)
      This paper proposes a time series segmentation algorithm combining a clustering technique and a genetic algorithm to automatically find segments sharing common statistical characteristics in paleoclimate time series. The ...