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Markus Löning
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sktime: A Unified Interface for Machine Learning with Time Series
M Löning, A Bagnall, S Ganesh, V Kazakov, J Lines, FJ Király
Workshop on Systems for ML at NeurIPS 2019, 2019
2562019
Can degrowth overcome the leakage problem of unilateral climate policy?
M Larch, M Löning, J Wanner
Ecological economics 152, 118-130, 2018
102018
Designing Machine Learning Toolboxes: Concepts, Principles and Patterns
FJ Király, M Löning, A Blaom, A Guecioueur, R Sonabend
arXiv preprint arXiv:2101.04938, 2021
92021
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency
A Bagnall, F Király, M Löning, M Middlehurst, G Oastler
arXiv preprint arXiv:1909.05738, 2019
92019
Forecasting with sktime: Designing sktime's new forecasting api and applying it to replicate and extend the m4 study
M Löning, F Király
arXiv preprint arXiv:2005.08067, 2020
82020
A unified interface for machine learning with time series
M Löning, A Bagnall, S Ganesh, V Kazakov, J Lines, FJ Király
arXiv preprint arXiv:1909.07872, 2019
72019
A unified interface for machine learning with time series. ArXiv e-prints
M Löning, A Bagnall, S Ganesh, V Kazakov, J Lines, FJ Király
arXiv preprint arXiv:1909.07872, 2019
62019
Machine Learning with Time Series: A Taxonomy of Learning Tasks, Development of a Unified Framework, and Comparative Benchmarking of Algorithms
M Löning
UCL (University College London), 2021
2021
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Artikelen 1–8