TSDCN: Traffic safety state deep clustering network for real‐time traffic crash‐prediction

Feature extraction and clustering analysis of highway congestion

(2019) Tin T. Nguyen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Interval data-based k-means clustering method for traffic state identification at urban intersections

(2019) Wenming Rao et al.   IET Intelligent Transport Systems

Speech Emotion Classification Using Attention-Based LSTM

(2019) Yue Xie et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification

(2019) Bin Deng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Local Deep-Feature Alignment for Unsupervised Dimension Reduction

(2018) Jian Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Traffic State Estimation of Signalized Intersections Based on Stacked Denoising Auto-Encoder Model

(2018) Junping Xiang et al.   WIRELESS PERSONAL COMMUNICATIONS

Three-phase classification of an uninterrupted traffic flow: a k-means clustering study

(2018) Reihaneh Kouhi Esfahani et al.   Transportmetrica B-Transport Dynamics

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Bayesian dynamic updating approach for urban expressway real-time crash risk evaluation

(2018) Kui Yang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Advanced accident prediction models and impacts assessment

(2018) Fabio Galatioto et al.   IET Intelligent Transport Systems

LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

Stacked Convolutional Denoising Auto-Encoders for Feature Representation

(2017) Bo Du et al.   IEEE Transactions on Cybernetics

Real-time crash prediction on urban expressways: identification of key variables and a hybrid support vector machine model

(2016) Jie Sun et al.   IET Intelligent Transport Systems

Improved multi-objective clustering with automatic determination of the number of clusters

(2016) María-Guadalupe Martínez-Peñaloza et al.   NEURAL COMPUTING & APPLICATIONS

Speed pattern recognition technique for short-term traffic forecasting based on traffic dynamics

(2015) Dionysios Kehagias et al.   IET Intelligent Transport Systems

Parametric nonlinear dimensionality reduction using kernel t-SNE

(2015) Andrej Gisbrecht et al.   NEUROCOMPUTING

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation

(2015) Tzu-Tsung Wong   PATTERN RECOGNITION

Deep Learning-Based Classification of Hyperspectral Data

(2014) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

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

Real-time freeway sideswipe crash prediction by support vector machine

(2013) Xu Qu et al.   IET Intelligent Transport Systems

Extension of the gap statistics index to fuzzy clustering

(2013) Shihong Yue et al.   SOFT COMPUTING

Dynamic data-driven local traffic state estimation and prediction

(2013) Constantinos Antoniou et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Traffic condition recognition using the -means clustering method

(2011) M. Montazeri-Gh et al.   Scientia Iranica

Categorizing Freeway Flow Conditions by Using Clustering Methods

(2010) Mehdi Azimi et al.   TRANSPORTATION RESEARCH RECORD