irregular-time-series
Irregular time series in Python: datasets, classifiers and the benchmark from our ICLR 2026 paper.
Converting irregularly spaced time series, such as eletronic health records, into dataframes for tabular classification.
Dynamic Time Warping
Fast, interpretable Bag-of-Receptive-Fields (BORF) features for regular and irregular time series classification, with saliency explanations. IEEE Access 2024.
