المؤلفون: Nikolakopoulos, Anastasios, Evangelatos, Spyridon, Veroni, Eleni, Chasapas, Konstantinos, Gousetis, Nikolaos, Apostolaras, Apostolos, Nikolopoulos, Christos D., Korakis, Thanasis

المصدر: 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE) Electronic Engineering, Information Technology & Education (EEITE), 2024 5th International Conference in. :1-5 May, 2024

Relation: 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE)

المؤلفون: Kyriakou, Katerina, Apostolaras, Apostolos, Velentzas, Polychronis, Syrigos, Ilias, Maglavera, Stavroula, Evangelatos, Spyridon, Veroni, Eleni, Korakis, Thanasis

المصدر: 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE) Electronic Engineering, Information Technology & Education (EEITE), 2024 5th International Conference in. :1-6 May, 2024

Relation: 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE)

المؤلفون: Ntantogian, Christoforos^Aff4, Laoudias, Christos^Aff5, Honrubia, Antonio Jesus Diaz^Aff6, Veroni, Eleni^Aff7, Xenakis, Christos^Aff7

المساهمون: Vlamos, Panagiotis, editor^Aff1, Kotsireas, Ilias S., editor^Aff2, Tarnanas, Ioannis, editor^Aff3

المصدر: Handbook of Computational Neurodegeneration. :743-770

المؤلفون: Veroni, Eleni, Ntantogian, Christoforos, Xenakis, Christos

المصدر: In Journal of Information Security and Applications June 2022 67

المؤلفون: Ntantogian, Christoforos, Veroni, Eleni, Karopoulos, Georgios, Xenakis, Christos

المصدر: In Computers and Electrical Engineering July 2019 77:163-178

المؤلفون: Veroni, Eleni

مصطلحات الفهرس: Face detection in complex environments, particularly in the context of monitoring preterm infants, presents unique challenges due to occlusions such as hats or medical equipment, variation in lighting, video quality etc. Standard face detection models often fall short in such scenarios. Addressing the occlusion problem, this thesis proposes a novel two-part YOLOv5 model approach. The first part includes training the model on a customized dataset with bounding boxes of different facial parts. The, Master Thesis, Student Thesis

URL: https://studenttheses.uu.nl/handle/20.500.12932/44830

المؤلفون: Veroni, Eleni, Xenakis, Christos, Gonzalez-Granadillo, Gustavo, Diaz-Rodriguez, Rodrigo, Dumortier, Jos, Papachristopoulus, Konstantina, Laoudias, Christos, Zamorano, Juan Mora, Jofre, Marc, Navarro-Llobet, Diana, Romeu, Ramon, Koch, Sabine, Papachristou, Panos, Panaousis, Emmanouil

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::702359877df15103bdbc5112322ab5af

المؤلفون: Mehta, Mayuri, Passi, Kalpdrum, Chatterjee, Indranath, Patel, Rajan, Kougka, Georgia, Gounaris, Anastasios, Papadopoulos, Apostolos, Vakali, Athena, Llobet, Diana Navarro, Dumortier, Jos, Veroni, Eleni, Xenakis, Christos, Gonzalez-Granadillo, Gustavo

المصدر: Knowledge Modelling and Big Data Analytics in Healthcare ISBN: 9781003142751
Knowledge Modelling and Big Data Analytics in Healthcare

مصطلحات موضوعية: Knowledge management, business.industry, Health care, Conceptual model (computer science), Business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37d3f20a36606d4202a6e171200d73b8

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المؤلفون: Ntantogian, Christoforos Veroni, Eleni Karopoulos, Georgios and Xenakis, Christos

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______2127::faa790a8fbd17634e47c72de21094a19
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3184578