International Journal of Forecasting · 2022 · 20 citations · 26 references
ComputingComputer ScienceMeteorologyForecastingMachine LearningWeather ForecastingDeep LearningForecast VerificationForecasting MethodsForecasting UncertaintyTime Series ForecastingTime Series PredictionDeep Learning For ForecastingDeep Learning For Time Series ForecastingDeep Learning-based ForecastingForecast StabilityNeural Forecasting
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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
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations
Leo Breiman · Machine Learning · 1996 · 16.4K citations · Full text
Pattern Recognition and Machine Learning
Kybernetes · 2007 · 8.4K citations