Listar MAT_Articles por autoría "b07c9a6c-fb25-45bd-8670-2ec31b70f2bb"
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Combining Classification and User-Based Collaborative Filtering for Matching Footwear Size
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 ... -
Detecting and visualizing differences in brain structures with SPHARM and functional data analysis
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 ...
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Detection of Anomalies in Water Networks by Functional Data Analysis
Hindawi Publishing Corporation (2018)A functional data analysis (FDA) based methodology for detecting anomalous flows in urban water networks is introduced. Primary hydraulic variables are recorded in real-time by telecontrol systems, so they are functional ...
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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 ...
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Forecasting basketball players’ performance using sparse functional data
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 ...
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Functional archetype and archetypoid analysis
Elsevier (2016-12)Archetype and archetypoid analysis can be extended to functional data. Each function is approximated by a convex combination of actual observations (functional archetypoids) or functional archetypes, which are a convex ...
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Functional data analysis in shape analysis
Elsevier (2011)Mid-level processes on images often return outputs in functional form. In this context the use of functional data analysis (FDA) in image analysis is considered. In particular, attention is focussed on shape analysis, ...
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Generalized partially linear models on Riemannian manifolds
Royal Statistical Society (2020-05-03)We introduce generalized partially linear models with covariates on Riemannian manifolds. These models, like ordinary generalized linear models, are a generalization of partially linear models on Riemannian manifolds that ...
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h-plots for displaying nonmetric dissimilarity matrices
Wiley Periodicals (2013-01)Nonmetric pairwise data with violations of symmetry, reflexivity, or triangle inequality appear in fields such as image matching, web mining, or cognitive psychology. When data are inherently nonmetric, we should not enforce ...
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Hippocampal shape analysis in Alzheimer’s disease using Functional Data Analysis
Wiley-Blackwell (2013)The hippocampus is one of the first affected regions in Alzheimer's disease. The left hippocampi of control subjects, patients with mild cognitive impairment and patients with Alzheimer's disease are represented by spherical ...
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Intervention in prediction measure: a new approach to assessing variable importance for random forests
Springer Verlag (2017-05)Background Random forests are a popular method in many fields since they can be successfully applied to complex data, with a small sample size, complex interactions and correlations, mixed type predictors, etc. Furthermore, ...
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Mapping the Asymmetrical Citation Relationships Between Journals by h-Plots
Wiley (2014)I propose the use of h-plots for visualizing the asymmetric relationships between the citing and cited profiles of journals in a common map. With this exploratory tool, we can understand better the journal's dual roles of ...
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Morphological analysis of cells by means of an elastic metric in the shape space
International Society for Stereology (2020-03)Shape analysis is of great importance in many fields, such as computer vision, medical imaging, and computational biology. This analysis can be performed considering shapes as closed planar curves in the shape space. This ...
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Ordinal classification for interval-valued data and interval-valued functional data
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 ...
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Ordinal classification of 3D brain structures by functional data analysis
Elsevier B.V. All (2021-08-24)We introduce several ordinal classification methods for functional data, specificallymultiargument and multivariate functional data. Their performance is analyzed in fourreal data sets that belong to a neuroeducational ...
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Revisiting Male Allies in Mathematics and Physics Throughout History: Role Models for Men in STEM Education
MDPI (2024-05-16)In the academic world, there are also gender inequalities, which are especially visible in certain masculinized STEM areas, such as physics and mathematics. An essential factor in correcting these inequalities is the ...
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Robust archetypoids for anomaly detection in big functional data
Springer (2020-08-03)Archetypoid analysis (ADA) has proven to be a successful unsupervised statistical technique to identify extreme observations in the periphery of the data cloud, both in classical multivariate data and functional data. ...
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Robust multivariate and functional archetypal analysis with application to financial time series analysis
Elsevier (2018-12)Archetypal analysis approximates data by means of mixtures of actual extreme cases (archetypoids) or archetypes, which are a convex combination of cases in the data set. Archetypes lie on the boundary of the convex hull. ...
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Shape Descriptors for classification of functional data
American Statistical Association (2008)Curve discrimination is an important task in engineering and other sciences. We propose several shape descriptors for classifying functional data, inspired by form anal- ysis from the image analysis eld: statistical ...
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Ten Simple Rules for organizing a non–real-time web conference
Scott Markel, Dassault Systemes BIOVIA (USA) (2020-01-26)The present work describes the 100% virtual ATIDES (Avances en Tecnologı ´as, Innovacio ´n y Desafı ´os de la Educacio ´n Superior) conference that was held between October 15 and 31, 2018, sponsored by Universitat Jaume ...
