Author

Sebastian Buschjäger

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#artificial intelligence Preprint Sep 2026

Diagnosing Temporal Misalignment in Multichannel Time-Series Classification with Minimum Description Length

A classifier- and label-free diagnostic based on minimum description length (MDL) that provides a general-purpose tool for detecting, understanding, and correcting temporal misalignment throughout the time-series learning pipeline.

Sebastian Buschjäger, Michael Frichert, Daniel Kuhse et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods

This work calls on the stream-learning community to make bounded resource usage a first-class design objective alongside drift adaptation, and proposes concrete steps toward this goal, including an API through which stream learners can explicitly expose and respect resource budgets.

Sebastian Buschjäger, N. Gunasekara, Heitor Murilo Gomes · 0 citations