Listar Departament: Matemàtiques por autoría "c34ccdcd-ae52-428d-907d-129c67be0661"
Mostrando ítems 1-5 de 5
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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 ... -
Analysis of the contributions to the SDGs of university students by degrees
Ferrando, Lara; Alcacer Sales, Aleix; Lloria, Atanasia; Martínez-García, Marina; Martínez Serrano, Belén; Pérez-Suay, Adrián; Epifanio, Irene IEEE (2022-11-17)The perception of the SDGs of the students of our degrees, who belong to different areas, has been analyzed through an online survey. The objective was not to know their knowledge, but we focused on knowing their opinion ... -
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 ... -
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 ... -
Ordinal classification for interval-valued data and interval-valued functional data
Alcacer Sales, Aleix; Martínez Garcia, marina; Epifanio, Irene Elsevier (2023-10-29)The aim of ordinal classification is to predict the ordered labels of the output from a set of observed inputs. Interval-valued data refers to data in the form of intervals. For the first time, interval-valued data and ...