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Found 3 papers, 1 papers with code
Benchmark time series data sets for PyTorch -- the torchtime package
The development of models for Electronic Health Record data is an area of active research featuring a small number of public benchmark data sets.
Volume-Centred Range Bars: Novel Interpretable Representation of Financial Markets Designed for Machine Learning Applications
In this study, we propose a volume-price-based market representation for making financial time series more suitable for machine learning pipelines.
Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data
Conventional inclusion criteria used in osteoarthritis clinical trials are not very effective in selecting patients who would benefit from a therapy being tested.
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