Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mandani Ntekouli"'
Publikováno v:
Machine Learning with Applications, Vol 14, Iss , Pp 100512- (2023)
During an Ecological Momentary Assessment (EMA) study, through repeated digital questionnaires, we have the opportunity to collect multiple multivariate time-series (MTS) data for all participants. Although, it is common that individual data is analy
Externí odkaz:
https://doaj.org/article/c42485d3324b43e789c1c42119f69828
Autor:
George C. Anastassopoulos, Georgia Konstantopoulou, Dimitrios Galiatsatos, Mandani Ntekouli, Christina Lymperopoulou, Konstantinos Assimakopoulos, Theodoros Iliou
Publikováno v:
Evolving Systems. 10:29-39
The main objective of this study was to find a data preprocessing method to boost the prediction performance of the machine learning algorithms in datasets of mental patients. Specifically, the machine learning methods must have almost excellent clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::281d425888083a7c58b2750acc5b2dc9
https://doi.org/10.1007/s12530-017-9205-9
https://doi.org/10.1007/s12530-017-9205-9
Autor:
George C. Anastassopoulos, Panagiotis Polychronopoulos, Maria Marouli, Georgia Konstantopoulou, John Ellul, Mandani Ntekouli, Dimitrios Lyberopoulos
Publikováno v:
Evolving Systems. 9:299-313
Epilepsy is a chronic and dangerous neurological disorder affecting millions of people worldwide. Considering the critical level that this patient’s condition can reach, the continuous surveillance by the side of the patient, the people of his/her
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0c09be0e035332792393f4dc14b8d0d
https://doi.org/10.1007/s12530-017-9198-4
https://doi.org/10.1007/s12530-017-9198-4
Autor:
Maria Marouli, Georgia Konstantopoulou, Mandani Ntekouli, George C. Anastassopoulos, Dimitrios Lymperopoulos
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783319449432
AIAI
AIAI
Epilepsy is one of the most common and dangerous neurological disorders, affecting millions of people around the world every year. Its symptoms are quite subtle and the transition from one phase of the disorder to another can go undetected and end to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5a9b6139077e9e032a8ce514a3d5726
https://doi.org/10.1007/978-3-319-44944-9_3
https://doi.org/10.1007/978-3-319-44944-9_3
Autor:
Dimitrios Galiatsatos, Mandani Ntekouli, Theodoros Iliou, Konstantinos Assimakopoulos, George C. Anastassopoulos, Dimitrios K. Lymberopoulos, Georgia Konstantopoulou
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783319449432
AIAI
AIAI
The main objective of this study was to find a preprocessing method to enhance the effectiveness of the machine learning methods in datasets of mental patients. Specifically, the machine learning methods must have almost excellent classification resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5561ef30935b5a8532cb7db1fac9a58f
https://doi.org/10.1007/978-3-319-44944-9_5
https://doi.org/10.1007/978-3-319-44944-9_5