Boosting training for PDF malware classifier via active learning
2
Office of Science and Technology, China Information Technology Security Evaluation Center Beijing China
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3
Intelligent Network Research Institute, Zhejiang Lab Hangzhou China
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Publication type: Journal Article
Publication date: 2021-05-16
scimago Q1
wos Q2
SJR: 1.141
CiteScore: 13.9
Impact factor: 3.7
ISSN: 08848173, 1098111X
Artificial Intelligence
Software
Theoretical Computer Science
Human-Computer Interaction
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Metrics
24
Total citations:
24
Citations from 2024:
8
(33.34%)
Cite this
GOST |
RIS |
BibTex |
MLA
Cite this
GOST
Copy
Li Y. et al. Boosting training for PDF malware classifier via active learning // International Journal of Intelligent Systems. 2021. Vol. 37. No. 4. pp. 2803-2821.
GOST all authors (up to 50)
Copy
Li Y., Wang X., Shi Z., Zhang R., Xue J., Wang Z. Boosting training for PDF malware classifier via active learning // International Journal of Intelligent Systems. 2021. Vol. 37. No. 4. pp. 2803-2821.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1002/int.22451
UR - https://doi.org/10.1002/int.22451
TI - Boosting training for PDF malware classifier via active learning
T2 - International Journal of Intelligent Systems
AU - Li, Yuanzhang
AU - Wang, Xinxin
AU - Shi, Zhiwei
AU - Zhang, Ruyun
AU - Xue, Jingfeng
AU - Wang, Zhi
PY - 2021
DA - 2021/05/16
PB - Wiley
SP - 2803-2821
IS - 4
VL - 37
SN - 0884-8173
SN - 1098-111X
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2021_Li,
author = {Yuanzhang Li and Xinxin Wang and Zhiwei Shi and Ruyun Zhang and Jingfeng Xue and Zhi Wang},
title = {Boosting training for PDF malware classifier via active learning},
journal = {International Journal of Intelligent Systems},
year = {2021},
volume = {37},
publisher = {Wiley},
month = {may},
url = {https://doi.org/10.1002/int.22451},
number = {4},
pages = {2803--2821},
doi = {10.1002/int.22451}
}
Cite this
MLA
Copy
Li, Yuanzhang, et al. “Boosting training for PDF malware classifier via active learning.” International Journal of Intelligent Systems, vol. 37, no. 4, May. 2021, pp. 2803-2821. https://doi.org/10.1002/int.22451.