350 related articles for article (PubMed ID: 23287112)
1. Utilizing support vector machine in real-time crash risk evaluation.
Yu R; Abdel-Aty M
Accid Anal Prev; 2013 Mar; 51():252-9. PubMed ID: 23287112
[TBL] [Abstract][Full Text] [Related]
2. Support vector machine in crash prediction at the level of traffic analysis zones: Assessing the spatial proximity effects.
Dong N; Huang H; Zheng L
Accid Anal Prev; 2015 Sep; 82():192-8. PubMed ID: 26091769
[TBL] [Abstract][Full Text] [Related]
3. Using support vector machine models for crash injury severity analysis.
Li Z; Liu P; Wang W; Xu C
Accid Anal Prev; 2012 Mar; 45():478-86. PubMed ID: 22269532
[TBL] [Abstract][Full Text] [Related]
4. Multi-level Bayesian analyses for single- and multi-vehicle freeway crashes.
Yu R; Abdel-Aty M
Accid Anal Prev; 2013 Sep; 58():97-105. PubMed ID: 23727550
[TBL] [Abstract][Full Text] [Related]
5. Using hierarchical Bayesian binary probit models to analyze crash injury severity on high speed facilities with real-time traffic data.
Yu R; Abdel-Aty M
Accid Anal Prev; 2014 Jan; 62():161-7. PubMed ID: 24172082
[TBL] [Abstract][Full Text] [Related]
6. Seminal quality prediction using data mining methods.
Sahoo AJ; Kumar Y
Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
[TBL] [Abstract][Full Text] [Related]
7. Analysis of real-time crash risk for expressway ramps using traffic, geometric, trip generation, and socio-demographic predictors.
Wang L; Abdel-Aty M; Lee J; Shi Q
Accid Anal Prev; 2019 Jan; 122():378-384. PubMed ID: 28689932
[TBL] [Abstract][Full Text] [Related]
8. Prediction of thoracic injury severity in frontal impacts by selected anatomical morphomic variables through model-averaged logistic regression approach.
Zhang P; Parenteau C; Wang L; Holcombe S; Kohoyda-Inglis C; Sullivan J; Wang S
Accid Anal Prev; 2013 Nov; 60():172-80. PubMed ID: 24060439
[TBL] [Abstract][Full Text] [Related]
9. Predicting motor vehicle crashes using Support Vector Machine models.
Li X; Lord D; Zhang Y; Xie Y
Accid Anal Prev; 2008 Jul; 40(4):1611-8. PubMed ID: 18606297
[TBL] [Abstract][Full Text] [Related]
10. Bayesian ranking of sites for engineering safety improvements: decision parameter, treatability concept, statistical criterion, and spatial dependence.
Miaou SP; Song JJ
Accid Anal Prev; 2005 Jul; 37(4):699-720. PubMed ID: 15949462
[TBL] [Abstract][Full Text] [Related]
11. A joint-probability approach to crash prediction models.
Pei X; Wong SC; Sze NN
Accid Anal Prev; 2011 May; 43(3):1160-6. PubMed ID: 21376914
[TBL] [Abstract][Full Text] [Related]
12. Class-imbalanced crash prediction based on real-time traffic and weather data: A driving simulator study.
Elamrani Abou Elassad Z; Mousannif H; Al Moatassime H
Traffic Inj Prev; 2020; 21(3):201-208. PubMed ID: 32125890
[No Abstract] [Full Text] [Related]
13. Estimating safety effects of pavement management factors utilizing Bayesian random effect models.
Jiang X; Huang B; Zaretzki RL; Richards S; Yan X
Traffic Inj Prev; 2013; 14(7):766-75. PubMed ID: 23944326
[TBL] [Abstract][Full Text] [Related]
14. Identifying crash-prone traffic conditions under different weather on freeways.
Xu C; Wang W; Liu P
J Safety Res; 2013 Sep; 46():135-44. PubMed ID: 23932695
[TBL] [Abstract][Full Text] [Related]
15. Developing a new real-time traffic safety management framework for urban expressways utilizing reinforcement learning tree.
Yang K; Quddus M; Antoniou C
Accid Anal Prev; 2022 Dec; 178():106848. PubMed ID: 36174250
[TBL] [Abstract][Full Text] [Related]
16. Investigating the different characteristics of weekday and weekend crashes.
Yu R; Abdel-Aty M
J Safety Res; 2013 Sep; 46():91-7. PubMed ID: 23932690
[TBL] [Abstract][Full Text] [Related]
17. Investigating the effects of the fixed and varying dispersion parameters of Poisson-gamma models on empirical Bayes estimates.
Lord D; Park PY
Accid Anal Prev; 2008 Jul; 40(4):1441-57. PubMed ID: 18606278
[TBL] [Abstract][Full Text] [Related]
18. Crash risk analysis for Shanghai urban expressways: A Bayesian semi-parametric modeling approach.
Yu R; Wang X; Yang K; Abdel-Aty M
Accid Anal Prev; 2016 Oct; 95(Pt B):495-502. PubMed ID: 26847949
[TBL] [Abstract][Full Text] [Related]
19. A machine learning-based approach to prognostic analysis of thoracic transplantations.
Delen D; Oztekin A; Kong ZJ
Artif Intell Med; 2010 May; 49(1):33-42. PubMed ID: 20153956
[TBL] [Abstract][Full Text] [Related]
20. Vicinal support vector classifier using supervised kernel-based clustering.
Yang X; Cao A; Song Q; Schaefer G; Su Y
Artif Intell Med; 2014 Mar; 60(3):189-96. PubMed ID: 24637294
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
