Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Stathis Parcharidis"'
Autor:
Alexandros Vrochidis, Nikolaos Dimitriou, Stelios Krinidis, Savvas Panagiotidis, Stathis Parcharidis, Dimitrios Tzovaras
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract This paper introduces a deep learning methodology for analyzing audience engagement in online video events. The proposed deep learning framework consists of six layers and starts with keyframe extraction from the video stream and the partici
Externí odkaz:
https://doaj.org/article/a16bc4253532491e9a88236b7c7639ab
Autor:
Alexandros Vrochidis, Stathis Parcharidis, Stelios Krinidis, Dimitrios Tzovaras, Nikolaos Dimitriou, Savvas Panagiotidis
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030871550
ICVS
ICVS
In this paper, an approach for video popularity prediction is proposed, by combining two different methods, video content analysis, and early viewership. Firstly, a multi-modal framework is used, which analyses video content features such as the numb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e2b8d0de4d5d250b9329da826efbece
https://doi.org/10.1007/978-3-030-87156-7_13
https://doi.org/10.1007/978-3-030-87156-7_13
Autor:
Nikolaos Dimitriou, Savvas Panagiotidis, Alexandros Vrochidis, Stathis Parcharidis, Stelios Krinidis, Dimitrios Tzovaras
Publikováno v:
Proceedings of the International Neural Networks Society ISBN: 9783030805678
EANN
EANN
Over the last decade, the volume of videos available on the web has increased exponentially. In order to help users cope with the ever-growing video volume, recommendation systems have emerged that can provide personalized suggestions to users based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9536fff10e74b4a85750755c6218c24
https://doi.org/10.1007/978-3-030-80568-5_38
https://doi.org/10.1007/978-3-030-80568-5_38
Autor:
Damiano Arena, Dimitrios Tzovaras, Dimosthenis Ioannidis, S. Zikos, Apostolos C. Tsolakis, Stathis Parcharidis, K. Ziazios, Dimitris Kiritsis, Stelios Krinidis, Ifigeneia N. Metaxa
Publikováno v:
IFIP Advances in Information and Communication Technology
IFIP International Conference on Advances in Production Management Systems (APMS)
IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2017, Hamburg, Germany. pp.306-313, ⟨10.1007/978-3-319-66923-6_36⟩
IFIP International Conference on Advances in Production Management Systems
Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing ISBN: 9783319669229
APMS (1)
IFIP Advances in Information and Communication Technology-Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing
IFIP International Conference on Advances in Production Management Systems (APMS)
IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2017, Hamburg, Germany. pp.306-313, ⟨10.1007/978-3-319-66923-6_36⟩
IFIP International Conference on Advances in Production Management Systems
Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing ISBN: 9783319669229
APMS (1)
IFIP Advances in Information and Communication Technology-Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing
Part 5: Sustainable Human Integration in Cyber-Physical Systems: The Operator 4.0; International audience; Human resources are one of the most important assets of an organization. The setup of a proper Human Resource Management system undoubtedly rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d4c99faee5e033b225505c50a49dd0a
https://hal.inria.fr/hal-01666183/document
https://hal.inria.fr/hal-01666183/document