Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Time Series Prediction Using DBN and ARIMA
Time series forecasting using a deep belief network with restricted Boltzmann machines
Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference
Comparison of neural-network learning algorithms for time-series prediction
market time series prediction with recurrent neural networks .
Autoregressive Tree Models for Time-Series Analysis.
A new boosting algorithm for improved time-series forecasting with recurrent neural networks
A moving-average filter based hybrid ARIMA-ANN model for forecasting time series data
Restricted Boltzmann Machines for the Prediction of Trends in Financial Time Series
Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach.
Time Series Prediction by Using a Connectionist Network with Internal Delay Lines
Predicting time series with support vector machines
Comparison of Strategies for Multi-step-Ahead Prediction of Time Series Using Neural Network
Theory and Algorithms for Forecasting Time Series
Neural network model for time series prediction by reinforcement learning
Recurrent Neural Networks for Time Series Classification
Time Series Prediction Via Recurrent Neural Networks with the Information Bottleneck Principle
An artificial neural network (p,d,q) model for timeseries forecasting
Deep learning for time series classification: a review
Time Series Forecasting Based on Augmented Long Short-Term Memory
Multi-step Ahead Time Series Forecasting for Different Data Patterns Based on LSTM Recurrent Neural Network
Fraud Detection in Credit Card by Clustering Approach
A Fast Learning Algorithm for Deep Belief Nets
An in vitro evaluation of graphene oxide reduced by Ganoderma spp. in human breast cancer cells (MDA-MB-231)
Budget-Aware Deep Semantic Video Segmentation
Elliptical ASIFT Agglomeration in Class Prototype for Logo Detection