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  A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine

Ünal, A. B., Akgün, M., & Pfeifer, N. (2019). A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine. In Y. Mu, R. H. Deng, & X. Huang (Eds.), Cryptology and Network Security (pp. 493-511). Berlin: Springer. doi:10.1007/978-3-030-31578-8_27.

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Genre: Conference Paper

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 Creators:
Ünal, Ali Burak1, Author
Akgün, Mete1, Author
Pfeifer, Nico2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              

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Language(s): eng - English
 Dates: 20192019
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Uenal_CANS2019
DOI: 10.1007/978-3-030-31578-8_27
 Degree: -

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Title: 18th International Conference on Cryptology and Network Security
Place of Event: Fuzhou, China
Start-/End Date: 2019-10-25 - 2019-10-27

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Title: Cryptology and Network Security
  Subtitle : 18th International Conference, CANS 2019 ; Fuzhou, China, October 25–27, 2019 ; Proceedings
  Abbreviation : CANS 2019
Source Genre: Proceedings
 Creator(s):
Mu, Yi1, Editor
Deng, Robert H.1, Editor
Huang, Xinyi1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 493 - 511 Identifier: ISBN: 978-3-030-31577-1

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 11829 Sequence Number: - Start / End Page: - Identifier: -