Transfer learning for spatio-temporal transferability of real-time crash prediction models

Investigation of transfer learning for image classification and impact on training sample size

(2021) Wenbo Zhu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A review on deep learning in machining and tool monitoring: methods, opportunities, and challenges

(2021) Vahid Nasir et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A deep learning approach for real-time crash prediction using vehicle-by-vehicle data

(2021) Franco Basso et al.   ACCIDENT ANALYSIS AND PREVENTION

Class-imbalanced crash prediction based on real-time traffic and weather data: A driving simulator study

(2020) Zouhair Elamrani Abou Elassad et al.   Traffic Injury Prevention

Real-time crash prediction on expressways using deep generative models

(2020) Qing Cai et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A real-time crash prediction fusion framework: An imbalance-aware strategy for collision avoidance systems

(2020) Zouhair Elamrani Abou Elassad et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study of Cancer-Staging Data in Biology

(2019) Yufei Liu et al.   Engineering

Real-Time Crash Risk Prediction using Long Short-Term Memory Recurrent Neural Network

(2019) Jinghui Yuan et al.   TRANSPORTATION RESEARCH RECORD

Comparing Machine Learning and Deep Learning Methods for Real-Time Crash Prediction

(2019) Athanasios Theofilatos et al.   TRANSPORTATION RESEARCH RECORD

Real-time crash prediction in an urban expressway using disaggregated data

(2018) Franco Basso et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

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

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

PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data

(2018) Jintao Ke et al.   Transportmetrica A-Transport Science

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

An optimized real-time crash prediction model on freeway with over-sampling techniques based on support vector machine

(2017) Jinming You et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Transferability Analysis of Heterogeneous Overdispersion Parameter Negative Binomial Crash Models

(2016) Narayan Venkataraman et al.   TRANSPORTATION RESEARCH RECORD

Diversity techniques improve the performance of the best imbalance learning ensembles

(2015) José F. Díez-Pastor et al.   INFORMATION SCIENCES

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

(2015) José A. Sáez et al.   INFORMATION SCIENCES

Deep learning

(2015) Yann LeCun et al.   NATURE

Classifying imbalanced data sets using similarity based hierarchical decomposition

(2015) Cigdem Beyan et al.   PATTERN RECOGNITION

Application of a Rule-Based Approach in Real-Time Crash Risk Prediction Model Development Using Loop Detector Data

(2015) Ali Pirdavani et al.   Traffic Injury Prevention

Big Data applications in real-time traffic operation and safety monitoring and improvement on urban expressways

(2015) Qi Shi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A dynamic Bayesian network model for real-time crash prediction using traffic speed conditions data

(2015) Jie Sun et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Use of Support Vector Machine Models for Real-Time Prediction of Crash Risk on Urban Expressways

(2014) Jian Sun et al.   TRANSPORTATION RESEARCH RECORD

Cost-sensitive decision tree ensembles for effective imbalanced classification

(2013) Bartosz Krawczyk et al.   APPLIED SOFT COMPUTING

Transfer learning for activity recognition: a survey

(2013) Diane Cook et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Using the Bayesian updating approach to improve the spatial and temporal transferability of real-time crash risk prediction models

(2013) Chengcheng Xu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Estimation of Real-Time Crash Risk

(2012) Anurag Pande et al.   TRANSPORTATION RESEARCH RECORD

The Viability of Using Automatic Vehicle Identification Data for Real-Time Crash Prediction

(2011) Mohamed M. Ahmed et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Robust weighted kernel logistic regression in imbalanced and rare events data

(2010) Maher Maalouf et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Generalization in quantitative and qualitative research: Myths and strategies

(2010) Denise F. Polit et al.   INTERNATIONAL JOURNAL OF NURSING STUDIES

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING