Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A Functional Data Analysis Approach to Traffic Volume Forecasting
Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning
Traffic Demand Forecasting for Port Services
Transforming GIS Data into Functional Road Models for Large-Scale Traffic Simulation
Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting
Accurate and Interpretable Bayesian MARS for Traffic Flow Prediction
A survey on forecasting of time series data
Short-term traffic flow prediction with optimized Multi-kernel Support Vector Machine
Big-data-generated traffic flow prediction using deep learning and dempster-shafer theory
Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting
Kernel Density Estimation of traffic accidents in a network space
Explaining and Forecasting Online Auction Prices and Their Dynamics Using Functional Data Analysis
STARIMA-based traffic prediction with time-varying lags
Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting
spatio - temporal graph convolutional networks : a deep learning framework for traffic forecasting .
Mining the Situation: Spatiotemporal Traffic Prediction With Big Data
Highway traffic accident prediction using VDS big data analysis
Road Traffic Data: Collection Methods and Applications
Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Traffic flow prediction using neural network
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition
On Controllable Sparse Alternatives to Softmax
learning representations by back - propagating errors .
Trends in Eye Tracking Scanpaths: Segmentation Effect?
Modeling and Analyzing Real-Time Data Streams