3 papers
cs.AI2026
Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling
Pierre Lotte, André Péninou, Olivier Teste
Reliable evaluation of anomaly detection methods in multivariate time series remains an open challenge, largely due to the limitations of existing benchmark datasets. Current resou…
cs.LG2026
IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting
Aymane Harkati, Moncef Garouani, Olivier Teste +2
Accurate forecasting of multivariate time series remains challenging due to the need to capture both short-term fluctuations and long-range temporal dependencies. Transformer-based…
cs.LG2025
XStacking: Explanation-Guided Stacked Ensemble Learning
Moncef Garouani, Ayah Barhrhouj, Olivier Teste
Ensemble Machine Learning (EML) techniques, especially stacking, have been shown to improve predictive performance by combining multiple base models. However, they are often critic…