An Improved Deep Learning Model for Traffic Crash Prediction

Deep learning for short-term traffic flow prediction

(2017) Nicholas G. Polson et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Deep learning approach for active classification of electrocardiogram signals

(2016) M.M. Al Rahhal et al.   INFORMATION SCIENCES

State-space model with deep learning for functional dynamics estimation in resting-state fMRI

(2016) Heung-Il Suk et al.   NEUROIMAGE

Analyzing injury crashes using random-parameter bivariate regression models

(2016) Chunjiao Dong et al.   Transportmetrica A-Transport Science

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Convolutional Neural Networks for Distant Speech Recognition

(2014)   IEEE SIGNAL PROCESSING LETTERS

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

(2014) Wenhao Huang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks

(2014) R. Devon Hjelm et al.   NEUROIMAGE

Multivariate negative binomial models for insurance claim counts

(2013) Peng Shi et al.   INSURANCE MATHEMATICS & ECONOMICS

Analyzing crash injury severity for a mountainous freeway incorporating real-time traffic and weather data

(2013) Rongjie Yu et al.   SAFETY SCIENCE

Analysis of driver injury severity in truck-involved accidents using a non-parametric classification tree model

(2012) Li-Yen Chang et al.   SAFETY SCIENCE

Traffic safety forecasting method by particle swarm optimization and support vector machine

(2011) Ren Gang et al.   EXPERT SYSTEMS WITH APPLICATIONS

The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

(2010) Dominique Lord et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Statistical methods versus neural networks in transportation research: Differences, similarities and some insights

(2010) M.G. Karlaftis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES