Author

F. Sohrab

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#computer vision Jul 2026

Zero-Shot Heart Rate Variability Forecasting from Consumer Wearables Using Time Series Foundation Models

A variability-preserving imputation method is introduced that augments linear interpolation with locally adaptive stochastic noise, retaining physiological dynamics essential for accurate forecasting in short-term Heart Rate Variability forecasting.

Luukas Peräkylä, F. Sohrab, Ville Hautamäki et al. · arXiv.org · 0 citations

#machine learning Open access Feb 2025

Anomaly detection in smart power grids with graph-regularized MS-SVDD: a multimodal subspace learning approach

A generalized Multimodal Subspace Support Vector Data Description model with graph-embedded regularization is proposed, illustrating how relational and structural information can be systematically embedded into one-class models, enabling robust learning under complex, high-dimensional, and multimodal conditions.

Thomas Debelle, F. Sohrab, Pekka Abrahamsson et al. · Scientific Reports · 1 citation