97 citations · 174 across the 7 of their papers we have counts for
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cs.LG2021
Kernel density estimation-based sampling for neural network classification
Firuz Kamalov, Ashraf Elnagar
Imbalanced data occurs in a wide range of scenarios. The skewed distribution of the target variable elicits bias in machine learning algorithms. One of the popular methods to comba…
cs.CR2021
Orthogonal variance-based feature selection for intrusion detection systems
Firuz Kamalov, Sherif Moussa, Ziad El Khatib +1
In this paper, we apply a fusion machine learning method to construct an automatic intrusion detection system. Concretely, we employ the orthogonal variance decomposition technique…
cs.CR2021★ 37 cited
Feature selection for intrusion detection systems
Firuz Kamalov, Sherif Moussa, Rita Zgheib +1
In this paper, we analyze existing feature selection methods to identify the key elements of network traffic data that allow intrusion detection. In addition, we propose a new feat…