Abstract: To solve the problem that the features produced by hidden means, such as code obfuscation and compression, in encrypted malicious WebShell files are not the same as those produced by ...
weightederm is a scikit-learn-style package for fast and accurate offline change point detection and estimation (or data segmentation) in regression settings via weighted empirical risk minimization ...
The code for Ligra, Ligra+, and Hygra is located in the ligra/ directory. The code for the applications is in the apps/ directory, which is where compilation should be performed. Example inputs are ...
Abstract: A random marker code is inserted into the information sequences periodically, and a novel symbol-level decoding algorithm considering the weighted Levenshtein distance (WLD) is designed for ...
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XGBoost (extreme Gradient Boosting) has revolutionized the way we build predictive models. Its speed, efficiency, and superior performance make it one of the most powerful machine learning algorithms ...
In the first phase, stroke activations with baseline NCCT and CT angiography were used to train an aICV‐NCCT. The algorithm was then internally validated using intraclass correlations and Intersection ...
In this paper, a Cluster-based Synthetic minority oversampling technique (SMOTE) Both-sampling (CSBBoost) ensemble algorithm is proposed for classifying imbalanced data. In this algorithm, a ...
In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.
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