Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Ljupčo Todorovski"'
Publikováno v:
Future Internet, Vol 14, Iss 5, p 126 (2022)
The emergence of digital technologies has profoundly affected and transformed almost every aspect of societal relations. These impacts have also reached public administration, including its governance. Digital technologies’ rise has paved the way f
Externí odkaz:
https://doaj.org/article/8289425b0aef454599b54f79c87ba61a
Publikováno v:
Applied Sciences, Vol 9, Iss 4, p 743 (2019)
In this paper we perform a comparative analysis of three models for a feature representation of text documents in the context of document classification. In particular, we consider the most often used family of bag-of-words models, the recently propo
Externí odkaz:
https://doaj.org/article/1f65a9bfb7004894b245bfd0c1cdf46d
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0153507 (2016)
Ensembles are a well established machine learning paradigm, leading to accurate and robust models, predominantly applied to predictive modeling tasks. Ensemble models comprise a finite set of diverse predictive models whose combined output is expecte
Externí odkaz:
https://doaj.org/article/1de2ab25ca1e475cb39a50d2ded4349c
Autor:
Nikola Simidjievski, Jovan Tanevski, Bernard Ženko, Zoran Levnajić, Ljupčo Todorovski, Sašo Džeroski
Publikováno v:
New Journal of Physics, Vol 20, Iss 11, p 113003 (2018)
Methods for reconstructing the topology of complex networks from time-resolved observations of node dynamics are gaining relevance across scientific disciplines. Of biggest practical interest are methods that make no assumptions about the properties
Externí odkaz:
https://doaj.org/article/28a0f5cca3c843b0af62c9c086a25b8f
Publikováno v:
International Journal of Intelligent Systems. 37:6080-6122
Meta learning generalizes the empirical experience with different learning tasks and holds promise for providing important empirical insight into the behavior of machine learning algorithms. In this paper, we present a comprehensive meta‐learning s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ab8dc70e7c4d631a869881592cb6b9c
https://doi.org/10.1002/int.22835
https://doi.org/10.1002/int.22835
Ordinary differential equations (ODEs) are a widely used formalism for the mathematical modeling of dynamical systems, a task omnipresent in scientific domains. The paper introduces a novel method for inferring ODEs from data. It extends ProGED, a me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18f12caa2e28afe37f72c1170e840c26
https://doi.org/10.21203/rs.3.rs-2678362/v1
https://doi.org/10.21203/rs.3.rs-2678362/v1
Autor:
Ljupčo Todorovski
Publikováno v:
Artificial Intelligence, Social Harms and Human Rights ISBN: 9783031191480
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::336c7f3787f450f1c025b93b8e71107f
https://doi.org/10.1007/978-3-031-19149-7_7
https://doi.org/10.1007/978-3-031-19149-7_7
Publikováno v:
Discovery Science ISBN: 9783031188398
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9c652b830fe7c389d987da35cfa8d1e
https://doi.org/10.1007/978-3-031-18840-4_2
https://doi.org/10.1007/978-3-031-18840-4_2
Publikováno v:
Applied sciences, vol. 9, no. 4, 743, 2019.
Applied Sciences, Vol 9, Iss 4, p 743 (2019)
Applied Sciences
Volume 9
Issue 4
Applied Sciences, Vol 9, Iss 4, p 743 (2019)
Applied Sciences
Volume 9
Issue 4
In this paper we perform a comparative analysis of three models for a feature representation of text documents in the context of document classification. In particular, we consider the most often used family of bag-of-words models, the recently propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1ae5310209829127b1d20aebfd3248d
https://repozitorij.uni-lj.si/Dokument.php?id=149436&dn=
https://repozitorij.uni-lj.si/Dokument.php?id=149436&dn=