Buscar
Mostrando ítems 41-50 de 139
Outlier Detection for Multivariate Time Series: A Functional Data Approach ®
(Elsevier, 2021)
[Abstract] A method for detecting outlier samples in a multivariate time series dataset is proposed. It is assumed that an outlying series is characterized by having been generated from a different process than those ...
Quantile Cross-Spectral Density: A Novel and Effective Tool for Clustering Multivariate Time Series
(Elsevier, 2021)
[Abstract] Clustering of multivariate time series is a central problem in data mining with applications in many fields. Frequently, the clustering target is to identify groups of series generated by the same multivariate ...
Altered pathways in methylome and transcriptome longitudinal analysis of normal weight and bariatric surgery women
(NLM (Medline), 2020-04-15)
[Abstract] DNA methylation could provide a link between environmental, genetic factors and weight control and can modify gene expression pattern. This study aimed to identify genes, which are differentially expressed and ...
Evaluation of Depression in Subacute Low Back Pain: A Case Control Study
(American Society of Interventional Pain Physicians, 2017)
[Abstract] Low back pain (LBP) is the most common musculoskeletal disorder affecting the general population and it is believed to be associated with depression. The study aim was to describe and compare the impact in a ...
Erosive Degradation Study of Concrete Augmented by Mussel Shells for Marine Construction
(MDPI, 2021-10)
[Abstract] This work proposes a green material for artificial reefs to be placed in Galicia (northwest Spain) taking into account the principles of circular economy and sustainability of the ecosystem. New concrete ...
Statistical Quality Control with the qcr Package
(Technische Universitaet Wien, 2021)
[Abstract] The R package qcr for Statistical Quality Control (SQC) is introduced and described. It includes a comprehensive set of univariate and multivariate SQC tools that completes and increases the SQC techniques ...
Assessment of the Influence of Features on a Classification Problem: An Application to COVID-19 Patients
(Elsevier, 2022)
[Abstract] This paper deals with an important subject in classification problems addressed by machine learning techniques: the evaluation of the influence of each of the features on the classification of individuals. ...
Ordinal Time Series Analysis with the R Package otsfeatures
(MDPI, 2023-06)
[Abstract] The 21st century has witnessed a growing interest in the analysis of time series data. While most of the literature on the topic deals with real-valued time series, ordinal time series have typically received ...
Evaluating the impact of items and cooperation in inventory models with exemptable ordering costs
(Elsevier B.V., 2024-03)
[Absctract]: In this paper we introduce and analyse, from a game theoretical perspective, several multi-agent or multi-item continuous review inventory models in which the buyers are exempted from ordering costs if the ...
Cost-sensitive thresholding over a two-dimensional decision region for fraud detection
(Elsevier B.V., 2024-02)
[Absctract]: Credit fraud poses a challenging task in terms of detection. It can result in significant losses depending on the amount, so a cost-sensitive perspective needs to be taken. Classical approaches focus on ...