This repository implements and compares several optimization methods for regularized logistic regression, with a focus on stochastic algorithms, proximal regularization, and sparse models. The code is ...

Abstract: Anomaly detection in multivariate time series is a critical research area, but it is also a challenging one due to its occurrence in various real-world scenarios, such as structural health ...

Abstract: The detection of ships encompasses an abundance of applications within the domains of fishery management, marine rescue operations, and maritime monitoring. In recent years, a multitude of ...

Naive follow-based graphs are dense and noisy — a user may follow thousands of accounts without ever interacting with them. Ranking influencers by follower count alone misses structurally important ...