Listar IF_Articles por autoría "b07c9a6c-fb25-45bd-8670-2ec31b70f2bb"

Mostrando ítems 1-20 de 30

    • openAccess   A Data Science Analysis of Academic Staff Workload Profiles in Spanish Universities: Gender Gap Laid Bare 

      Cabero-Fayos, Ismael; Epifanio, Irene MDPI (2021-06-25)
      This paper presents a snapshot of the distribution of time that Spanish academic staff spend on different tasks. We carry out a statistical exploratory study by analyzing the responses provided in a survey of 703 Spanish ...

    • openAccess   A data-driven classification of 3D foot types by archetypal shapes based on landmarks 

      Alcacer Sales, Aleix; Epifanio, Irene; Ibáñez Gual, Maria Victoria; Simó, Amelia; Ballester, Alfredo Costin Daniel Untaroiu (Virginia Tech, USA) (2020-01-30)
      The taxonomy of foot shapes or other parts of the body is important, especially for design purposes. We propose a methodology based on archetypoid analysis (ADA) that overcomes the weaknesses of previous methodologies used ...

    • openAccess   A neuroimaging data set on problem solving in the case of the reversal error: Putamen data 

      Ferrando, Lara; Ventura Campos, Mercedes; Epifanio, Irene Elsevier (2020-09-19)
      Structural Magnetic Resonance Images (sMRI) for a sample of university students were recorded. Out of magnetic resonance, students performed a test of algebra problem solving. As we are interested in reversal errors, the ...

    • openAccess   A New Geometric Metric in the Shape and Size Space of Curves in R n 

      Epifanio, Irene; Gimeno, Vicent; Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria MDPI (2020-10-01)
      Shape analysis of curves in Rn is an active research topic in computer vision. While shape itself is important in many applications, there is also a need to study shape in conjunction with other features, such as scale and ...

    • openAccess   Actas del congreso virtual : Avances en Tecnologías Innovación y Desafíos de la Educación Superior ATIDES 2020 

      Arnal, A.; Barrachina Mir, Sergio; Castelló Benavent, Joaquín; Castañeda Díaz, Jorge; Córica, José Luis; Epifanio, Irene; Ferrando, Lara; Galindo, Carlos; Gregori, Pablo; Martínez Garcia, marina; Martínez, Vicente Publicacions de la Universitat Jaume I. Servei de Comunicació i Publicacions, (2021)
      Els entorns virtuals (educació a distància, e-Learning, blended Learning, laboratoris virtuals...), la globalització universitària (mobilitat virtual, educació global i multicultural, convenis interuniversitaris), cursos ...

    • openAccess   Actas del congreso virtual: Avances en Tecnologías Innovación y Desafíos de la Educación Superior. ATIDES 2022 

      Alcacer Sales, Aleix; Arnal, A.; Barrachina Mir, Sergio; Castelló Benavent, Joaquín; Epifanio, Irene; Ferrando, Lara; Galindo, Carlos; Gregori, Pablo; Martínez García, Vicente; Masero Bravo, Lucía Publicacions de la Universitat Jaume I. Servei de Comunicació i Publicacions (2022)
      Els entorns virtuals (educació a distància, e-Learning, blended Learning, laboratoris virtuals...), la globalització universitària (mobilitat virtual, educació global i multicultural, convenis interuniversitaris), cursos ...

    • openAccess   Analysis of Archetypes to Determine Time Use and Workload Profiles of Spanish University Professors 

      Cabero-Fayos, Ismael; Epifanio, Irene; Gual-Arnau, Ximo MDPI (2023)
      Allocation of time use is important to develop appropriate policies, especially in terms of gender equality. Individual well-being depends on many factors, including how time is spent. Therefore, knowing and analysing ...

    • openAccess   Análisis de arquetipos de las respuestas del estudiantado a las encuestas docentes 

      Epifanio, Irene Publicacions de la Universitat Jaume I (2018-10-15)
      Una forma habitual de valorar la docencia del profesorado es, en parte, a través de las encuestas a los estudiantes. Los datos en bruto, no resumidos, ofrecen la posibilidad de ser examinados. En este trabajo se ilustrará ...

    • openAccess   Archetypal analysis for ordinal data 

      Fernández, Daniel; Epifanio, Irene; McMillan, Louise Elsevier Inc. (2021-08-03)
      Archetypoid analysis (ADA) is an exploratory approach that explains a set of continuous observations as mixtures of pure (extreme) patterns. Those patterns (archetypoids) are actual observations of the sample which makes ...

    • openAccess   Archetypal analysis with missing data: see all samples by looking at a few based on extreme profiles 

      Epifanio, Irene; Ibáñez Gual, Maria Victoria; Simó, Amelia American Statistical Association (2019-05-13)
      In this paper we propose several methodologies for handling missing or incomplete data in Archetype analysis (AA) and Archetypoid analysis (ADA). AA seeks to find archetypes, which are convex combinations of data points, ...

    • openAccess   Archetypal analysis: an alternative to clustering for unsupervised texture segmentation 

      Cabero-Fayos, Ismael; Epifanio, Irene International Society for Stereology & Image Analysis (2019-04)
      Texture segmentation is one of the main tasks in image applications, specifically in remote sensing, where the objective is to segment high-resolution images of natural landscapes into different cover types. Often the focus ...

    • openAccess   Archetypal analysis: contributions for estimating boundary cases in multivariate accommodation problem 

      Epifanio, Irene; Vinué Visús, Guillermo; Alemany Mut, Sandra Elsevier (2012-12)
      The use of archetypal analysis is proposed in order to determine a set of representative cases that entail a certain percentage of the population, in the accommodation problem. A well-known anthropometric database has been ...

    • openAccess   Archetypal contour shapes 

      Alcacer Sales, Aleix; Epifanio, Irene; Ibáñez Gual, Maria Victoria; Simó, Amelia Università di Cassino e del Lazio Meridionale. Centro Editoriale di Ateneo (2019)
      Shapes are represented by contour functions from planar object outlines. Functional archetypal analysis is proposed to describe closed contour shapes. Each contour function is approximated by a convex combination of ...

    • openAccess   Archetypal Curves in the Shape and Size Space: Discovering the Salient Features of Curved Big Data by Representative Extremes 

      Epifanio, Irene; Gimeno, Vicent; Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria Springer (2023)
      Curves are complex data. Tools for visualizing, exploring, and discovering the structure of a data set of curves are valuable. In this paper, we propose a scalable methodology to solve this challenge. On the one hand, ...

    • openAccess   Archetypal shapes based on landmarks and extension to handle missing data 

      Epifanio, Irene; Ibáñez Gual, Maria Victoria; Simó, Amelia Springer Verlag (2017-10)
      Archetype and archetypoid analysis are extended to shapes. The objective is to find representative shapes. Archetypal shapes are pure (extreme) shapes. We focus on the case where the shape of an object is represented by a ...

    • openAccess   Archetype analysis: A new subspace outlier detection approach 

      Cabero-Fayos, Ismael; Epifanio, Irene; Piérola Orcero, Ana; Ballester, Alfredo Elsevier (2021)
      The problem of detecting outliers in multivariate data sets with continuous numerical features is addressed by a new method. This method combines projections into relevant subspaces by archetype analysis with a nearest ...

    • openAccess   Combining Classification and User-Based Collaborative Filtering for Matching Footwear Size 

      Alcacer Sales, Aleix; Epifanio, Irene; Valero, Jorge; Ballester, Alfredo MDPI (2021)
      Size mismatch is a serious problem in online footwear purchase because size mismatch implies an almost sure return. Not only foot measurements are important in selecting a size, but also user preference. This is the ...

    • openAccess   Detecting and visualizing differences in brain structures with SPHARM and functional data analysis 

      Ferrando, Lara; Ventura Campos, Mercedes; Epifanio, Irene Elsevier (2020-08-07)
      A new procedure for classifying brain structures described by SPHARM is presented. We combine a dimension reduction technique (functional principal component analysis or functional independent component analysis) with ...

    • openAccess   Finding archetypal patterns for binary questionnaires 

      Cabero-Fayos, Ismael; Epifanio, Irene Institut d'Estadística de Catalunya (Idescat) (2020-01)
      Archetypal analysis is an exploratory tool that explains a set of observations as mixtures of pure (extreme) patterns. If the patterns are actual observations of the sample, we refer to them as archetypoids. For the first ...

    • openAccess   Forecasting basketball players’ performance using sparse functional data 

      Vinué Visús, Guillermo; Epifanio, Irene Wiley (2019-09)
      Statistics and analytic methods are becoming increasingly important in basketball. In particular, predicting players’ performance using past observations is a considerable challenge. The purpose of this study is to ...