Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Onur Kardes"'
Autor:
Tugrul Cem Unal, Aydin Aydoseli, Altay Sencer, Emircan Ortahisar, Gökhan Silahtaroğlu, Serra Sencer, Pulat Akin Sabanci, Özge Doğuç, Yavuz Aras, Ilyas Dolas, Onur Kardes, Ali Ekrem Adıyaman
Publikováno v:
Turkish neurosurgery. 32(3)
AIM: To present an early warning system (EWS) that employs a supervised machine learning algorithm for the rapid detection of extra-axial hematomas (EAHs) in an emergency trauma setting. MATERIAL and METHODS: A total of 150 sets of cranial computed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c77269f94436b89932083189b808627
https://pubmed.ncbi.nlm.nih.gov/35179731
https://pubmed.ncbi.nlm.nih.gov/35179731
Autor:
Onur Kardes, Murat Kantarcioglu
Publikováno v:
ICDM Workshops
Although the semi-honest model is reasonable in some cases, it is unrealistic to assume that adversaries will al- ways follow the protocols exactly. In particular, malicious adversaries could deviate arbitrarily from their prescribed protocols. Clear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8801aebdb733efcba0f882d56ae1985
https://doi.org/10.1109/icdmw.2007.77
https://doi.org/10.1109/icdmw.2007.77
Autor:
Onur Kardes, Murat Kantarcioglu
Publikováno v:
International Journal of Information and Computer Security. 2:353
Most of the cryptographic work in privacy-preserving distributed data mining deals with semi-honest adversaries, which are assumed to follow the prescribed protocol but try to infer private information using the messages they receive during the proto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32e8458ab4895ffb86b5fcf09578d3db
https://doi.org/10.1504/ijics.2008.022488
https://doi.org/10.1504/ijics.2008.022488