Author:
Calzavara Stefano,Ferrara Pietro,Lucchese Claudio
Publisher
Springer International Publishing
Reference29 articles.
1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);B Biggio,2013
2. Biggio, B., Roli, F.: Wild patterns: ten years after the rise of adversarial machine learning. Pattern Recognit. 84, 317–331 (2018)
3. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001).
https://doi.org/10.1023/A:1010933404324
4. Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J.: Classification and Regression Trees. Wadsworth, Belmont (1984)
5. Calzavara, S., Lucchese, C., Tolomei, G.: Adversarial training of gradient-boosted decision trees. In: Proceedings of CIKM. ACM (2019)
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