Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis
Learning Deep Belief Networks from Non-Stationary Streams
Time Series Prediction Via Recurrent Neural Networks with the Information Bottleneck Principle
Evaluation methods and decision theory for classification of streaming data with temporal dependence
Recurrent neural networks for time series prediction
New ensemble methods for evolving data streams
Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting
Learning Precise Timing with LSTM Recurrent Networks
Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks
Recurrent Neural Networks for Time Series Forecasting
An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams
Ensemble of online neural networks for non-stationary and imbalanced data streams
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Recursive Bayesian Recurrent Neural Networks for Time-Series Modeling
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting
Recurrent Neural Networks for Time Series Classification
Classification of streaming time series under more realistic assumptions
Recurrent neural networks and robust time series prediction
market time series prediction with recurrent neural networks .
Digital Innovation and Strategic Transformation
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Development of a neuro-feedback game based on motor imagery EEG
Transcranial magnetic stimulation in neurology