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pro vyhledávání: '"Constantinou, Christos"'
Detecting out-of-distribution (OOD) data is crucial in machine learning applications to mitigate the risk of model overconfidence, thereby enhancing the reliability and safety of deployed systems. The majority of existing OOD detection methods predom
Externí odkaz:
http://arxiv.org/abs/2408.11237
Publikováno v:
In Expert Systems With Applications 30 October 2016 60:96-106
Autor:
Zadorozhnyi, Oleksandr, Tsiantis, Pavlos, Michaelides, Erricos, Constantinou, Christos C., Kyriakides, Ioannis, Alexopoulos, Ilias, Abdi, Ehson, Reodica, Jerald, Hayes, Daniel R.
Publikováno v:
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
Marine surveillance deals with the complex problemof modeling and estimating natural and human processeswhile operating with limited information acquisition resources.The complexity of the problem and the scarcity of resources,such as power, processi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9168ab58b3b7e04fbf73194837816216
Publikováno v:
In Expert Systems With Applications 1 October 2014 41(13):5892-5906
Publikováno v:
In Urology March 2013 81(3):685-689
Publikováno v:
In The Journal of Urology October 2012 188(4):1224-1230
Autor:
Zhou, Lu, Lee, Jung Han, Wen, Yan, Constantinou, Christos, Yoshinobu, Murayama, Omata, Sadao, Chen, Bertha †
Publikováno v:
In The Journal of Urology September 2012 188(3):875-880
Autor:
Lovegrove Jones, Ruth C., Peng, Qiyu, Stokes, Maria, Humphrey, Victor F., Payne, Christopher, Constantinou, Christos E.
Publikováno v:
In European Urology June 2010 57(6):1101-1110
Autor:
Constantinou, Christos E.
Publikováno v:
In European Journal of Obstetrics and Gynecology 2009 144 Supplement 1:S159-S165
Publikováno v:
Robotics
Robotics, Vol 10, Iss 126, p 126 (2021)
Robotics; Volume 10; Issue 4; Pages: 126
Robotics, Vol 10, Iss 126, p 126 (2021)
Robotics; Volume 10; Issue 4; Pages: 126
This paper describes the development and experimental validation of algorithms for a novel laser vision system (LVS), suitable for measuring the relative posture from both solid and mesh-like targets in underwater environments. The system was develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8672fb2e1171783cb95c791d037ca968