Zobrazeno 1 - 10
of 264
pro vyhledávání: '"Schizas, Christos N"'
Autor:
Antoniades, Athos, Nicolaidou, Iolie, Spachos, Dimitris, Mylläri, Jarkko, Giordano, Daniela, Dafli, Eleni, Mitsopoulou, Evangelia, Schizas, Christos N, Pattichis, Constantinos, Nikolaidou, Maria, Bamidis, Panagiotis
Publikováno v:
Journal of Medical Internet Research, Vol 17, Iss 10, p e229 (2015)
BackgroundThe mEducator Best Practice Network (BPN) implemented and extended standards and reference models in e-learning to develop innovative frameworks as well as solutions that enable specialized state-of-the-art medical educational content to be
Externí odkaz:
https://doaj.org/article/2bf6418879d64247a9b71aa49ed6d797
Autor:
SOLOMOU, Theodoros, CANCIU, Ionut-Cristian, CHRISTODOULOU, Marios, SAVVA, Panayiotis, YIASEMI, Constantinos, ANTONIOU, Zinonas, CONSTANTINOU, Ioannis, SCHIZAS, Christos N., PATTICHIS, Constantinos S.
Publikováno v:
Studies in Health Technology & Informatics; 2024, Vol. 316, p497-501, 5p
Publikováno v:
Studies in Health Technology & Informatics; 2024, Vol. 316, p296-300, 5p
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2018
Neural Computing and Applications, 32(11), 6779-6791. SPRINGER LONDON LTD
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014230
ICANN (3)
Neural Computing and Applications
Neural Comput & Applic
Neural Computing and Applications, 32(11), 6779-6791. SPRINGER LONDON LTD
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014230
ICANN (3)
Neural Computing and Applications
Neural Comput & Applic
We present a method for constructing and training a deep domain-to-domain translation network: two datasets describing the same classes (i.e. the source and target domains) are used to train a deep network that can translate a pattern coming from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b36688bb1e737aad60070f61ff8a55b3
https://research.rug.nl/en/publications/894ca25c-2185-4897-b754-41fce2236b94
https://research.rug.nl/en/publications/894ca25c-2185-4897-b754-41fce2236b94
Autor:
Schiza, Eirini C., Foka, Maria, Stylianides, Nicolas, Kyprianou, Theodoros, Schizas, Christos N.
Publikováno v:
In Digital Innovations in Healthcare Education and Training 2021:169-191
Publikováno v:
Frontiers in Robotics and AI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8b5a790e548a3a41ce50f8dae2730206
http://europepmc.org/articles/PMC8014954
http://europepmc.org/articles/PMC8014954
Publikováno v:
APPIS
Proceedings of the 2nd International Conference on Applications of Intelligent Systems
Proceedings of APPIS 2019-2nd International Conference on Applications of Intelligent Systems
Proceedings of the 2nd International Conference on Applications of Intelligent Systems
Proceedings of APPIS 2019-2nd International Conference on Applications of Intelligent Systems
Blockchain is a technology with potential for making ground breaking steps in addressing social, economic and healthcare challenges. The global information technology scene is being overcrowded with blockchain applications with special focus on the v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f3882bf5ea94a74cf4fd0a4ba677123
https://doi.org/10.1145/3309772.3309806
https://doi.org/10.1145/3309772.3309806
Publikováno v:
IEEE transactions on neural networks and learning systems
IEEE Trans Neural Netw Learn Syst
IEEE Trans Neural Netw Learn Syst
We present a generative denoising autoencoder model that has an embedded data classifier in its architecture in order to take advantage of class-based discriminating features and produce better data samples. The proposed model is a conditional genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f335e630aef73600271cdafb84fa580b
http://gnosis.library.ucy.ac.cy/handle/7/62456
http://gnosis.library.ucy.ac.cy/handle/7/62456
Akademický článek
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Autor:
Schiza, Eirini C., Neokleous, Kleanthis C., Petkov, N., Schizas, Christos N., Neokleous,Kleanthis C.
Publikováno v:
Technology and Health Care
Technol.Health Care
Technol.Health Care
Background: Medical practice and patient-doctor relationship will continue improving while technology is integrated in our everyday life. In recent years the term eHealth landmarked a new era with improved health provider's skills and knowledge, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5105122df2bae9f3202ef94a4a28151b
https://doi.org/10.3233/thc-150919
https://doi.org/10.3233/thc-150919