Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Transfer Learning for Traffic Speed Prediction with Effective Spatiotemporal Features
Utilizing Real-World Transportation Data for Accurate Traffic Prediction
A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries
Predicting Traffic Accidents Through Heterogeneous Urban Data : A Case Study
Topology-regularized universal vector autoregression for traffic forecasting in large urban areas
A Deep Learning Approach to the Prediction of Short-term Traffic Accident Risk
DNN-based prediction model for spatio-temporal data
SHORT-TERM TRAFFIC FLOW PREDICTION: NEURAL NETWORK APPROACH
Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition
Driver Behavior Analysis and Prediction Models : A Survey
A Vehicle Recognition Algorithm Based on Deep Transfer Learning with a Multiple Feature Subspace Distribution
DeepTraffic: Driving Fast through Dense Traffic with Deep Reinforcement Learning
Issues and future directions in traffic classification
Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
A novel transfer learning framework for time series forecasting
Driver Identification: a Time Series Classification Approach
Traffic Prediction using a Deep Learning Paradigm
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management
Recognition of traffic signs based on their colour and shape features extracted using human vision models
Probabilistic neural networks based moving vehicles extraction algorithm for intelligent traffic surveillance systems
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction
Improving predictive inference under covariate shift by weighting the log-likelihood function
A comparison of cytological and parasitological methods in the diagnosis of Trichomonas vaginalis.
optimization and applications of echo state networks with leaky - integrator neurons .
Constraints in the IoT: The World in 2020 and Beyond
Analogical reasoning with relational Bayesian sets