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: Change detection (CD) aims to identify pixel-level changes of interest in multitemporal remote sensing images (RSIs). Due to the high cost of pixel-level annotations, semisupervised ...

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 ...

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 ...