Listar Departament: Matemàtiques por autoría "c5f89f33-30f3-4b2b-9b6a-ce5e1542df49"
Mostrando ítems 1-6 de 6
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A Data Science Analysis of Academic Staff Workload Profiles in Spanish Universities: Gender Gap Laid Bare
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 ... -
¿A qué dedica el tiempo el profesorado universitario?
ASOCIACION THE CONVERSATION ESPAÑA (2023-03)Las tareas y horas de trabajo semanal del profesorado universitario constituyen un tema de constante actualidad. Aunque es en las universidades donde se desarrolla la mayoría de la investigación y transferencia en España, ...
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Analysis of Archetypes to Determine Time Use and Workload Profiles of Spanish University Professors
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 ...
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Archetypal analysis: an alternative to clustering for unsupervised texture segmentation
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 ...
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Archetype analysis: A new subspace outlier detection approach
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 ...
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Finding archetypal patterns for binary questionnaires
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 ...
