190 citations · 459 across the 31 of their papers we have counts for
3 papers · 1 filter
ALT: A Python Package for Lightweight Feature Representation in Time Series Classification
Balázs P. Halmos, Balázs Hajós, Vince Á. Molnár +2
We introduce ALT, an open-source Python package created for efficient and accurate time series classification (TSC). The package implements the adaptive law-based transformation (A…
Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series Classification
Marcell T. Kurbucz, Balázs Hajós, Balázs P. Halmos +2
Time series classification (TSC) is fundamental in numerous domains, including finance, healthcare, and environmental monitoring. However, traditional TSC methods often struggle wi…
Learning ECG Signal Features Without Backpropagation Using Linear Laws
Péter Pósfay, Marcell T. Kurbucz, Péter Kovács +1
This paper introduces LLT-ECG, a novel method for electrocardiogram (ECG) signal classification that leverages concepts from theoretical physics to automatically generate features…