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Do not sleep on traditional machine learning Simple and interpretable techniques are competitive to deep learning for sleep scoring
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Plotly-resampler : effective visual analytics for large time series
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- Journal Article
- A1
- open access
Forecasting : theory and practice
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- Journal Article
- A1
- open access
Evaluating the impact of COVID-19 countermeasures on alcohol consumption through wastewater-based epidemiology : a case study in Belgium
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- Journal Article
- A1
- open access
Hierarchical pattern matching for anomaly detection in time series
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- Journal Article
- A1
- open access
tsflex : flexible time series processing & feature extraction
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- Journal Article
- A1
- open access
Spatial distribution of soil moisture in Mongolia using SMAP and MODIS satellite data : a time series model (2010-2025)
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- Journal Article
- A1
- open access
SCMFTS : scalable and distributed complexity measures and features for univariate and multivariate time series in Big Data environments
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- Journal Article
- A1
- open access
A complete software stack for IoT time-series analysis that combines semantics and machine learning-lessons learned from the dyversify project
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- Journal Article
- A1
- open access
A personalized Bayesian approach for early intervention in gestational weight gain management toward pregnancy care