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Charles Nicholas
Charles Nicholas
Verified email at umbc.edu
Title
Cited by
Cited by
Year
Malware detection by eating a whole exe
E Raff, J Barker, J Sylvester, R Brandon, B Catanzaro, CK Nicholas
Workshops at the thirty-second AAAI conference on artificial intelligence, 2018
7362018
Cluster quality analysis using silhouette score
KR Shahapure, C Nicholas
2020 IEEE 7th international conference on data science and advanced …, 2020
6672020
Combining content and collaboration in text filtering
I Soboroff, C Nicholas
Proceedings of the IJCAI 99 (1999), 86-91, 1999
3451999
Ranking retrieval systems without relevance judgments
I Soboroff, C Nicholas, P Cahan
Proceedings of the 24th annual international ACM SIGIR conference on …, 2001
2942001
An investigation of byte n-gram features for malware classification
E Raff, R Zak, R Cox, J Sylvester, P Yacci, R Ward, A Tracy, M McLean, ...
Journal of Computer Virology and Hacking Techniques 14, 1-20, 2018
2042018
Feature selection and document clustering
I Dhillon, J Kogan, C Nicholas
Survey of Text Mining: Clustering, Classification, and Retrieval, 73-100, 2004
1742004
Learning the pe header, malware detection with minimal domain knowledge
E Raff, J Sylvester, C Nicholas
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017
1692017
Grouping multidimensional data
J Kogan, C Nicholas, M Teboulle
Springer-Verlag Berlin Heidelberg, 2006
1682006
Performance and scalability of a large-scale n-gram based information retrieval system
E Millar, D Shen, J Liu, C Nicholas
1342000
ITtalks: A case study in the Semantic Web and DAML+ OIL
RS Cost, T Finin, A Joshi, Y Peng, C Nicholas, I Soboroff, H Chen, L Kagal, ...
IEEE Intelligent Systems 17 (1), 40-47, 2002
1212002
An alternative to NCD for large sequences, Lempel-Ziv Jaccard distance
E Raff, C Nicholas
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
1062017
Collaborative filtering and the generalized vector space model
I Soboroff, C Nicholas
Proceedings of the 23rd annual international ACM SIGIR conference on …, 2000
692000
A survey of machine learning methods and challenges for windows malware classification
E Raff, C Nicholas
arXiv preprint arXiv:2006.09271, 2020
682020
TELLTALE: Experiments in a dynamic hypertext environment for degraded and multilingual data
C Pearce, C Nicholas
Journal of the American Society for Information Science 47 (4), 263-275, 1996
631996
Static malware detection & subterfuge: Quantifying the robustness of machine learning and current anti-virus
W Fleshman, E Raff, R Zak, M McLean, C Nicholas
2018 13th International Conference on Malicious and Unwanted Software …, 2018
572018
Lempel-Ziv Jaccard Distance, an effective alternative to ssdeep and sdhash
E Raff, C Nicholas
Digital Investigation 24, 34-49, 2018
562018
Malware classification and class imbalance via stochastic hashed lzjd
E Raff, C Nicholas
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017
512017
What can N-grams learn for malware detection?
R Zak, E Raff, C Nicholas
2017 12th International Conference on Malicious and Unwanted Software …, 2017
502017
Addressing morphological variation in alphabetic languages
P McNamee, C Nicholas, J Mayfield
Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009
482009
Chameleon: A system for solving the data-translation problem
SA Mamrak, MS Kaelbling, CK Nicholas, M Share
IEEE Transactions on Software Engineering 15 (9), 1090-1108, 1989
461989
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Articles 1–20