Výsledky vyhledávání - "Alkiviadis Tsimpiris"

Akademický článek

Predicting student specializations: a Machine Learning Approach based on Academic Performance

Autor: Athanasios Angeioplastis, Nikolaos Papaioannou, Alkiviadis Tsimpiris, Angeliki Kamilali, Dimitrios Varsamis

Publikováno v: Je-LKS: Journal of E-Learning and Knowledge Society, Vol 20, Iss 2 (2024)

Education is a cornerstone of societal progress, equipping people with essential skills and knowledge. In today’s dynamic global society, personalized learning experiences are crucial. Data-driven methodologies, especially Educational Data Mining (

Externí odkaz: https://doaj.org/article/8bcacf500f9c47cfb190fb3259289078

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Akademický článek

Short-Term Water Demand Forecasting from Univariate Time Series of Water Reservoir Stations

Autor: Georgios Myllis, Alkiviadis Tsimpiris, Vasiliki Vrana

Publikováno v: Information, Vol 15, Iss 10, p 605 (2024)

This study presents an improved data-centric approach to short-term water demand forecasting using univariate time series from water reservoir levels. The dataset comprises water level recordings from 21 reservoirs in Eastern Thessaloniki collected o

Externí odkaz: https://doaj.org/article/b791c9729e22432ebd3671aa91cf2a39

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Akademický článek

Evaluation of Granger Causality Measures for Constructing Networks from Multivariate Time Series

Autor: Elsa Siggiridou, Christos Koutlis, Alkiviadis Tsimpiris, Dimitris Kugiumtzis

Publikováno v: Entropy, Vol 21, Iss 11, p 1080 (2019)

Granger causality and variants of this concept allow the study of complex dynamical systems as networks constructed from multivariate time series. In this work, a large number of Granger causality measures used to form causality networks from multiva

Externí odkaz: https://doaj.org/article/e031eb21699140329d29deccd998c4e2

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Akademický článek

Measures of Analysis of Time Series (MATS): A MATLAB Toolkit for Computation of Multiple Measures on Time Series Data Bases

Autor: Dimitris Kugiumtzis, Alkiviadis Tsimpiris

Publikováno v: Journal of Statistical Software, Vol 33, Iss 05 (2010)

In many applications, such as physiology and finance, large time series data bases are to be analyzed requiring the computation of linear, nonlinear and other measures. Such measures have been developed and implemented in commercial and freeware soft

Externí odkaz: https://doaj.org/article/f0526208283a4de694d7214ac17f2f38

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State-of-the-art CNN Architectures for Assessing Fine Motor Skills: a Comparative Study

Autor: Konstantinos Strikas, Nikolaos Papaioannou, Ioannis Stamatopoulos, Athanasios Angeioplastis, Alkiviadis Tsimpiris, Dimitrios Varsamis, Paraskevi Giagazoglou

Publikováno v: WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION. 20:44-51

It is considered that children’s normal growth depends on their ability to use their fine motor skills. Deficits in fine motor skills in preschool children can interfere with even basic daily activities. Research also links these problems to future

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7e0ff627f76c173eefcdfa59cfc21bf8
https://doi.org/10.37394/232010.2023.20.7

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Parallel Feature Subset Selection Wrappers Using k-means Classifier

Autor: Nikolaos Papaioannou, Alkiviadis Tsimpiris, Christos Talagozis, Leonidas Fragidis, Athanasios Angeioplastis, Sotirios Tsakiridis, Dimitrios Varsamis

Publikováno v: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS. 20:76-86

In a world where the volume of data is constantly increasing, the implementation time of various processes increases significantly. Therefore, the proper management and the effort to reduce the dimensions of the datasets are considered imperative. Fe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7f5116d21f7e8c9cd2d9ba6977697f0c
https://doi.org/10.37394/23209.2023.20.10

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