Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning
SHORT-TERM TRAFFIC FLOW PREDICTION: NEURAL NETWORK APPROACH
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Traffic Prediction using a Deep Learning Paradigm
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Ensemble learning based urban traffic state prediction for coupling traffic network with large scale data
DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting
Using Real-Time Road Traffic Data to Evaluate Congestion
A bayesian network approach to traffic flow forecasting
Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning
spatio - temporal graph convolutional networks : a deep learning framework for traffic forecasting .
LC-RNN: A Deep Learning Model for Traffic Speed Prediction
Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting
Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models
Going Deeper with Convolutional Neural Network for Intelligent Transportation
A prediction method of network traffic using time series models
Short-term traffic flow prediction with optimized Multi-kernel Support Vector Machine
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
STARIMA-based traffic prediction with time-varying lags
Traffic Flow Prediction using Adaboost Algorithm with Random Forests as a Weak Learner
Bayesian space conceptualization and place classification for semantic maps in mobile robotics
QoE and power efficiency tradeoff for fog computing networks with fog node cooperation
Deep Brain Stimulation Signal Classification Using Deep Belief Networks
A Maximum Entropy Approach To Natural Language Processing
The LHAM log-structured history data access method