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Found 2 papers, 1 papers with code
On Ensemble Learning
Our common framework and empirical results are an effort to bring some sense of order to the chaos that is evident in the evolving field of ensemble learning -- both within the narrow confines of the malware analysis problem, and in the larger realm of machine learning in general.
A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classification
We show that we can obtain better classification accuracy based on these feature embeddings, as compared to HMM experiments that directly use the opcode sequences, and serve to establish a baseline.
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