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stat.ML2026
An Interpretable Generative Framework for Anomaly Detection in High-Dimensional Financial Time Series
Waldyn G Martinez
Detecting structural instability and anomalies in high-dimensional financial time series is challenging due to complex temporal dependence and evolving cross-sectional structure. W…
stat.ML2026
VSCOUT: A Hybrid Variational Autoencoder Approach to Outlier Detection in High-Dimensional Retrospective Monitoring
Waldyn G. Martinez
Modern industrial and service processes generate high-dimensional, non-Gaussian, and contamination-prone data that challenge the foundational assumptions of classical Statistical P…
stat.ML2024
Boundary Peeling: Outlier Detection Method Using One-Class Peeling
Sheikh Arafat, Na Sun, Maria L. Weese +1
Unsupervised outlier detection constitutes a crucial phase within data analysis and remains a dynamic realm of research. A good outlier detection algorithm should be computationall…