Author

Johann Faouzi

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#machine learning Preprint Oct 2026

TIGER: Time-Series Classification with In-Context-Learning Gated Ensemble of Representations

A representation family is a distinct way of extracting features from time series. Ensemble algorithms that combine several representation families remain the most accurate approach to time series classification. Current state-of-the-art ensembles, most notably HIVE-COTE~2.0, pair a bespoke classification algorithm wit...

Johann Faouzi · 0 citations

#machine learning Preprint Sep 2026

MomentQuant: an even more minimalist interval method with linear time complexity for time series classification

Evidence is provided that the implementation of Quant is faster than the original one, and that MomentQuant is even faster than the implementation of Quant, at the cost of a tiny decrease in predictive performance.

Johann Faouzi · 0 citations