PubMed · 2018 · 19 citations · 18 references
ComputingData ScienceForecastingMachine LearningTime Series AnalysisDeep LearningForecasting MethodsPredictive Health ModelingPredictive ModelingTime Series ForecastingTime Series PredictionBlood Glucose RegulationDeep Learning For ForecastingDeep Learning For Time Series ForecastingMulti-step Forecast ErrorMulti-step ForecastingMulti-step-ahead ForecastingMultiple-output ForecastingPredictive Glucose Modeling
5.31 absolute percentage error (APE)). Overall, the results suggest the efficacy of our proposed approach in predicting blood glucose level and multi-step forecasting more generally.
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.8K citations · Full text
Scikit-learn: Machine Learning in Python
Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text
Scikit-learn: Machine Learning in Python
PedregosaFabian, VaroquauxGaël, GramfortAlexandre et al. · Journal of Machine Learning Research · 2011 · 8.2K citations
WaveNet: A Generative Model for Raw Audio
Aäron van den Oord, Sander Dieleman, Heiga Zen et al. · arXiv (Cornell University) · 2016 · 2.5K citations · Full text
Computing, Musicology, Acoustics +16