Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Stavros Doropoulos"'
Autor:
Sotirios Moschos, Polychronis Charitidis, Stavros Doropoulos, Anastasios Avramis, Stavros Vologiannidis
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109042- (2023)
The recent advancements in the field of deep learning have fundamentally altered the manner in which certain challenges and problems are addressed. One area that stands to greatly benefit from such innovations is the realm of urban planning, where th
Externí odkaz:
https://doaj.org/article/8aaf9da744c14573b61f739f09ee42ed
Autor:
Polychronis Charitidis, Sotirios Moschos, Archontis Pipertzis, Ioakeim James Theologou, Michael Michailidis, Stavros Doropoulos, Christos Diou, Stavros Vologiannidis
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 266 (2022)
Urban environments are evolving rapidly in big cities; keeping track of these changes is becoming harder. Information regarding urban features, such as the number of trees, lights, or shops in a particular region, can be crucial for tasks, such as ur
Externí odkaz:
https://doaj.org/article/16d669ad79c04f24a2bebae9111a32e9
Publikováno v:
Digital Library Perspectives. 39:131-144
Purpose This paper aims to attempt to provide an overview of the copyright legal framework for audiovisual resources in Europe and Greece, how Audiovisual (AV) content is currently licensed by Greek providers and how licenses or copyright exceptions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::961328a32948dcbe5ddfdbaa781664c7
https://doi.org/10.1108/dlp-04-2022-0033
https://doi.org/10.1108/dlp-04-2022-0033
Autor:
Nikolaos Passalis, Loukia Avramelou, Solon Seficha, Avraam Tsantekidis, Stavros Doropoulos, Giorgos Makris, Anastasios Tefas
Publikováno v:
Neural Computing and Applications. 34:19441-19452
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df55217ce80f8afee5b558e491047766
https://doi.org/10.1007/s00521-022-07509-6
https://doi.org/10.1007/s00521-022-07509-6
Autor:
Stavros Doropoulos, Nikolaos Passalis
In this paper we propose a deep learning method for performing attributed-based music-to-image translation. The proposed method is applied for synthesizing visual stories according to the sentiment expressed by songs. The generated images aim to indu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cd7ccd0e9c27d6c0c0728fbaac96fdd
http://arxiv.org/abs/1912.05654
http://arxiv.org/abs/1912.05654
Autor:
Stavros Doropoulos, Eleftherios Spyromitros-Xioufis, Eleni Partalidou, Stavros Vologiannidis, Konstantinos I. Diamantaras
Publikováno v:
WI
This paper proposes a machine learning approach to part-of-speech tagging and named entity recognition for Greek, focusing on the extraction of morphological features and classification of tokens into a small set of classes for named entities. The ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7c243313acd0f528298cd215e77bf8f
https://doi.org/10.1145/3350546.3352543
https://doi.org/10.1145/3350546.3352543
Autor:
Sophia Karakeva, Stavros Doropoulos, Stavros Vologiannidis, Ioannis Papastergiou, Polychronis Charitidis
Publikováno v:
Online Social Networks and Media. 17:100071
The damaging effects of hate speech on social media are evident during the last few years, and several organizations, researchers and social media platforms tried to harness them in various ways. Despite these efforts, social media users are still af
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8757274506b4ba621373d55f1d162250
https://doi.org/10.1016/j.osnem.2020.100071
https://doi.org/10.1016/j.osnem.2020.100071