Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Data-driven models for monthly streamflow time series prediction
Hydrological modelling using artificial neural networks
An Introductory Study on Time Series Modeling and Forecasting
Characterizing Time Series Data Diversity for Wind Forecasting
Predicting piezometric water level in dams via artificial neural networks
Temperature prediction using fuzzy time series
Toward Automatic Time-Series Forecasting Using Neural Networks
Forecasting Big Time Series: Old and New
Statistical Downscaling of ERA-Interim Forecast Precipitation Data in Complex Terrain Using LASSO Algorithm
Seasonal to Inter-annual Climate Prediction Using Data Mining KNN Technique
Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review
Scalable Forecasting Techniques Applied to Big Electricity Time Series
Recurrent neural networks and robust time series prediction
Automatic time series forecasting: The forecast package for R
Quantile regression neural networks: Implementation in R and application to precipitation downscaling
Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning
TimeFork: Interactive Prediction of Time Series
Time series forecasting using neural networks
Forecasting Non-Stationary Time Series : From Theory to Algorithms
Hybridization of intelligent techniques and ARIMA models for time series prediction
25 years of time series forecasting
Your Location has been Shared 5,398 Times!: A Field Study on Mobile App Privacy Nudging
An Ontology For Specifying Spatiotemporal Scopes in Life Cycle Assessment
A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing
Attention, similarity, and the identification-Categorization Relationship
Reasoning in Non-probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples