Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality. Allix, K., Bissyandé, T. F., Jérome, Q., Klein, J., State, R., & Le Traon, Y. In Proceedings of Conference on Data and Application Security and Privacy (CODASPY), pages 163-166, 2014. ![Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper bibtex @inproceedings{ dblp1671615,
title = {Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality},
author = {Kevin Allix and Tegawendé F. Bissyandé and Quentin Jérome and Jacques Klein and Radu State and Yves Le Traon},
author_short = {Allix, K. and Bissyandé, T. F. and Jérome, Q. and Klein, J. and State, R. and Le Traon, Y.},
bibtype = {inproceedings},
type = {inproceedings},
year = {2014},
key = {dblp1671615},
id = {dblp1671615},
biburl = {http://www.dblp.org/rec/bibtex/conf/codaspy/AllixBJKST14},
url = {http://doi.acm.org/10.1145/2557547.2557587},
conference = {CODASPY},
pages = {163-166},
text = {CODASPY 2014:163-166},
booktitle = {Proceedings of Conference on Data and Application Security and Privacy (CODASPY)}
}
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