Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Niki Efthymiou"'
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
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:
Sensors, Vol 23, Iss 7, p 3576 (2023)
Agricultural robotics is an up and coming field which deals with the development of robotic systems able to tackle a multitude of agricultural tasks efficiently. The case of interest, in this work, is mushroom collection in industrial mushroom farms.
Externí odkaz:
https://doaj.org/article/8b1535b3e35240e09df7760cc4615afe
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:
Technologies, Vol 9, Iss 4, p 86 (2021)
This paper proposes a novel lightweight visual perception system with Incremental Learning (IL), tailored to child–robot interaction scenarios. Specifically, this encompasses both an action and emotion recognition module, with the former wrapped ar
Externí odkaz:
https://doaj.org/article/7eb7a9697dbf49b5b91a2c408ba307e8
Autor:
Athanasia Zlatintsi, Petros Koutras, Georgios Evangelopoulos, Nikolaos Malandrakis, Niki Efthymiou, Katerina Pastra, Alexandros Potamianos, Petros Maragos
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-24 (2017)
Abstract Research related to computational modeling for machine-based understanding requires ground truth data for training, content analysis, and evaluation. In this paper, we present a multimodal video database, namely COGNIMUSE, annotated with sen
Externí odkaz:
https://doaj.org/article/8227720ba6b24450ae51c338d8c28908
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c9f832318480cf047628b69b0654bd9
https://doi.org/10.1109/iros47612.2022.9981908
https://doi.org/10.1109/iros47612.2022.9981908
Autor:
Nikolaos Smyrnis, Emmanouil Kalipserakis, Thomas karantinos, Marina Lazaridi, Vasiliki Garyfali, Panagiotis Filntisis, Athanasia Zlatintsi, Niki Efthymiou, Asimakis Mantas, Leonidas Mantonakis, Theodoros Mougiakos, Ilias Maglogiannis, Panayiotis Tsanakas, Petros Maragos
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e9465651bb081eeb72eb188b98da5d2
https://doi.org/10.21203/rs.3.rs-1803398/v1
https://doi.org/10.21203/rs.3.rs-1803398/v1
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6467e833187fa2cb1b68caaffbfd6414
https://doi.org/10.23919/eusipco54536.2021.9616106
https://doi.org/10.23919/eusipco54536.2021.9616106
Autor:
E. Kalisperakis, T. Karantinos, Athanasia Zlatintsi, Christos Garoufis, Niki Efthymiou, Nikolaos Smyrnis, V. Garyfalli, Petros Maragos, L. Mantonakis, Panagiotis Paraskevas Filntisis
Publikováno v:
BHI
In this work, we aim to explore and develop a speech analysis system that identifies relapses in patients with psychotic disorders (i.e., bipolar disorder and schizophrenia) with the long-term goal of monitoring and detecting relapse indicators, in o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed6dcb0f39771bcd259d4eefa1068d9d
https://doi.org/10.1109/bhi50953.2021.9508515
https://doi.org/10.1109/bhi50953.2021.9508515