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How to visualize high-dimensional data: a roadmap [PDF]
Journal of Data Mining and Digital Humanities, 2020 Discovery of the chronological or geographical distribution of collections of historical text can be more reliable when based on multivariate rather than on univariate data because multivariate data provide a more complete description. Where the data are
Hermann Moisl
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Entropy, 2021 Entropy-based methods have received considerable attention in the quantification of structural complexity of real-world systems. Among numerous empirical entropy algorithms, conditional entropy-based methods such as sample entropy, which are associated ...
Hongjian Xiao, Danilo P. Mandic
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Deep Neural Networks and Transfer Learning on a Multivariate Physiological Signal Dataset
Bioengineering, 2021 While Deep Neural Networks (DNNs) and Transfer Learning (TL) have greatly contributed to several medical and clinical disciplines, the application to multivariate physiological datasets is still limited. Current examples mainly focus on one physiological
Andrea Bizzego +2 more
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Fuzzy Theory Based Quality Assessment of Multivariate Electrical Measurements of Smart Grids
IEEE Access, 2021 Electrical measurements of smart grids form the backbone of various data driven applications. Proper analysis of these measurements can result in improved system planning, operation, monitoring and protection.
Soumyajit Gangopadhyay, Sarasij Das
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Do international standards influence the development of smart regions and cities? [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 The growth of city population has consequences on the sustainability and development of smart regions. International standards can provide good practices in wide areas related to environmental, security and social aspects that contribute to the
Jelena Ruso +2 more
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MDST-DBSCAN: A Density-Based Clustering Method for Multidimensional Spatiotemporal Data
ISPRS International Journal of Geo-Information, 2021 The increasing use of mobile devices and the growing popularity of location-based ser-vices have generated massive spatiotemporal data over the last several years. While it provides new opportunities to enhance our understanding of various urban dynamics,
Changlock Choi, Seong-Yun Hong
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On the Identification of the Riskiest Directional Components from Multivariate Heavy-Tailed Data
Risks, 2023 In univariate data, there exist standard procedures for identifying dominating features that produce the largest number of observations. However, in the multivariate setting, the situation is quite different.
Miriam Hägele, Jaakko Lehtomaa
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Multiscale Entropy Approaches and Their Applications
Entropy, 2020 n ...
Anne Humeau-Heurtier
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Statistical Depth for Text Data: An Application to the Classification of Healthcare Data
Mathematics, 2023 This manuscript introduces a new concept of statistical depth function: the compositional D-depth. It is the first data depth developed exclusively for text data, in particular, for those data vectorized according to a frequency-based criterion, such as ...
Sergio Bolívar +2 more
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ESTIMATION OF SUBMERSIBLE INDUCTION MOTOR EQUIVALENT CIRCUIT PARAMETERS BASED ON TEST DATA
Известия Томского политехнического университета: Инжиниринг георесурсов, 2021 One of the main problems in operation of wells equipped with installations of electric centrifugal pumps is determining the technical condition of submersible electrical equipment and preventing its failures.
Stanislav S. Shubin +8 more
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