Transfer learning for spatio-temporal transferability of real-time crash prediction models
出版年份 2021 全文链接
标题
Transfer learning for spatio-temporal transferability of real-time crash prediction models
作者
关键词
Transferability, Transfer learning, Imbalanced dataset, Generative adversarial network, Oversampling
出版物
ACCIDENT ANALYSIS AND PREVENTION
Volume 165, Issue -, Pages 106511
出版商
Elsevier BV
发表日期
2021-12-09
DOI
10.1016/j.aap.2021.106511
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- 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
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