Zobrazeno 1 - 10
of 610
pro vyhledávání: '"Ilias, Maglogiannis"'
Autor:
Melina Tziomaka, Athanasios Kallipolitis, Andreas Menychtas, Parisis Gallos, Christos Panagopoulos, Alice Georgia Vassiliou, Edison Jahaj, Ioanna Dimopoulou, Anastasia Kotanidou, Ilias Maglogiannis
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1323-1342 (2024)
Apart from providing user-friendly applications that support digitized healthcare routines, the use of wearable devices has proven to increase the independence of patients in a healthcare setting. By applying machine learning techniques to real healt
Externí odkaz:
https://doaj.org/article/b14cf379feb24709a76d5d0111377a85
Autor:
Athanasia Zlatintsi, Panagiotis P. Filntisis, Niki Efthymiou, Christos Garoufis, George Retsinas, Thomas Sounapoglou, Ilias Maglogiannis, Panayiotis Tsanakas, Nikolaos Smyrnis, Petros Maragos
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 641-651 (2024)
This paper presents an overview of the e-Prevention: Person Identification and Relapse Detection Challenge, which was an open call for researchers at ICASSP-2023. The challenge aimed at the analysis and processing of long-term continuous recordings o
Externí odkaz:
https://doaj.org/article/ac7f0b06f1a045adb26b40e7f8ddba4a
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 9068 (2024)
This study aims to evaluate the utilization and effectiveness of artificial intelligence (AI) applications in managing symptoms of anxiety and depression. The primary objectives are to identify current AI tools, analyze their practicality and efficac
Externí odkaz:
https://doaj.org/article/86f179a381524fb3bae4552046803dfb
Autor:
Edison Jahaj, Parisis Gallos, Melina Tziomaka, Athanasios Kallipolitis, Apostolos Pasias, Christos Panagopoulos, Andreas Menychtas, Ioanna Dimopoulou, Anastasia Kotanidou, Ilias Maglogiannis, Alice Georgia Vassiliou
Publikováno v:
Information, Vol 15, Iss 5, p 286 (2024)
Clinical characteristics of COVID-19 patients have been mostly described in hospitalised patients, yet most are managed in an outpatient setting. The COVID-19 pandemic transformed healthcare delivery models and accelerated the implementation and adop
Externí odkaz:
https://doaj.org/article/ccd549e69ed74a87aec34e1fc2ce84cb
Publikováno v:
IEEE Access, Vol 11, Pp 76437-76447 (2023)
Along with the increase in the accuracy of artificial intelligence systems, complexity has also risen. Despite high accuracy, high-risk decision-making requires explanations about the model’s decision, which often take the form of saliency maps. Th
Externí odkaz:
https://doaj.org/article/e1ad67f21bcb4964b3e97f246cb93da8
Autor:
Emmanouil Kalisperakis, Thomas Karantinos, Marina Lazaridi, Vasiliki Garyfalli, Panagiotis P. Filntisis, Athanasia Zlatintsi, Niki Efthymiou, Asimakis Mantas, Leonidas Mantonakis, Theodoros Mougiakos, Ilias Maglogiannis, Panayotis Tsanakas, Petros Maragos, Nikolaos Smyrnis
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
IntroductionMonitoring biometric data using smartwatches (digital phenotypes) provides a novel approach for quantifying behavior in patients with psychiatric disorders. We tested whether such digital phenotypes predict changes in psychopathology of p
Externí odkaz:
https://doaj.org/article/59f257100e3e48e683b034249cb123f7
Publikováno v:
Computer Methods and Programs in Biomedicine Update, Vol 4, Iss , Pp 100109- (2023)
Removing hair from digital dermoscopy images is occasionally a necessary step before further analysis is applied to the images. This work considers two machine learning approaches that segment the hair pixels from dermoscopy images. Subsequently, mor
Externí odkaz:
https://doaj.org/article/d601dfd898424b6aa940c306ad4864b1
Autor:
Andreas Menychtas, Michael Galliakis, Antonis Pardos, Christos Panagopoulos, Kostas Karpouzis, Ilias Maglogiannis
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
The design process of any interactive application is an important part of its lifecycle, since it largely defines its structure, means of interaction with the users and its actual content. In the case of applications related to medical uses and self-
Externí odkaz:
https://doaj.org/article/81646b6b3b374d0bab095bc68a84ef83
Autor:
Athanasia Zlatintsi, Panagiotis P. Filntisis, Christos Garoufis, Niki Efthymiou, Petros Maragos, Andreas Menychtas, Ilias Maglogiannis, Panayiotis Tsanakas, Thomas Sounapoglou, Emmanouil Kalisperakis, Thomas Karantinos, Marina Lazaridi, Vasiliki Garyfalli, Asimakis Mantas, Leonidas Mantonakis, Nikolaos Smyrnis
Publikováno v:
Sensors, Vol 22, Iss 19, p 7544 (2022)
Wearable technologies and digital phenotyping foster unique opportunities for designing novel intelligent electronic services that can address various well-being issues in patients with mental disorders (i.e., schizophrenia and bipolar disorder), thu
Externí odkaz:
https://doaj.org/article/a127b11c177645cf911785a69f35c8c6
Publikováno v:
Sensors, Vol 22, Iss 9, p 3181 (2022)
Augmented reality (AR) and Internet of Things (IoT) are among the core technological elements of modern information systems and applications in which advanced features for user interactivity and monitoring are required. These technologies are continu
Externí odkaz:
https://doaj.org/article/96aa065a34fa4035b0e5bf878accc664