Zobrazeno 1 - 6
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pro vyhledávání: '"Siho Han"'
Autor:
Siho Han, Simon S. Woo
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08476ee72b040432cd6385ce275e6c7b
https://doi.org/10.1145/3534678.3539117
https://doi.org/10.1145/3534678.3539117
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695439
ACCV (6)
ACCV (6)
Outperforming the previous state of the art, numerous deep learning models have been proposed for image classification using the ImageNet database. In most cases, significant improvement has been made through novel data augmentation techniques and le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c06eae93c1a549de6310a80b3b9172c
https://doi.org/10.1007/978-3-030-69544-6_32
https://doi.org/10.1007/978-3-030-69544-6_32
Publikováno v:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track ISBN: 9783030676667
ECML/PKDD (4)
ECML/PKDD (4)
The advent of Industry 4.0, partly characterized by the development of cyber-physical systems (CPSs), naturally entails the need for reliable security schemes. In particular, accurate detection of anomalies is of paramount importance, as even a small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d22a75358c7ae43df347c24b49a6313c
https://doi.org/10.1007/978-3-030-67667-4_10
https://doi.org/10.1007/978-3-030-67667-4_10
Publikováno v:
ICT Systems Security and Privacy Protection ISBN: 9783030781194
SEC
SEC
Detecting rare cases of anomalies in Cyber-Physical Systems (CPSs) is an extremely challenging task. It is especially difficult to accurately model various instances of CPS measurements due to the dearth of anomaly samples and the subtlety of how the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4fe23994508858a431647a2bdda18b0
https://doi.org/10.1007/978-3-030-78120-0_25
https://doi.org/10.1007/978-3-030-78120-0_25
Publikováno v:
IEEE BigData
Detecting fake or disguised face images become much more challenging due to the significant advancements made in machine learning, computer vision, and image processing techniques. In addition, due to the rise of various DeepFakes, fake images can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::379357d6fee1b8a08729bf3e2f30e011
https://doi.org/10.1109/bigdata47090.2019.9005683
https://doi.org/10.1109/bigdata47090.2019.9005683
Relationship between positive end-expiratory pressure and internal jugular vein cross-sectional area
Publikováno v:
Acta Anaesthesiologica Scandinavica. 56:840-845
Background Application of positive end-expiratory pressure (PEEP) has been used to increase the cross-sectional area (CSA) of the right internal jugular vein (IJV) in order to facilitate catheterisation. We aimed to determine the PEEP level at which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41e152876c8279901faa20c07b96602b
https://doi.org/10.1111/j.1399-6576.2011.02638.x
https://doi.org/10.1111/j.1399-6576.2011.02638.x