3 papers
cs.LG2026
TIGER: Time-Series Classification with In-Context-Learning Gated Ensemble of Representations
Johann Faouzi
A representation family is a distinct way of extracting features from time series. Ensemble algorithms that combine several representation families remain the most accurate approac…
cs.LG2026
CLUES-WEASEL: No additional clues required to choose your time series clustering algorithm
Johann Faouzi
Time series data is very common in many real-world applications and in numerous domains, with increasing interest for automated information extraction using machine learning. One o…
cs.LG2026
MomentQuant: an even more minimalist interval method with linear time complexity for time series classification
Johann Faouzi
Time series data is very common in many real-world applications and in numerous domains, with increasing interest for automated information extraction using machine learning. One o…