Imbalance-learning road crash assessment under reduced visibility settings: A proactive multicriteria decision-making system

Adaptation and validity of the reckless driving habits scale in young Chinese drivers

(2023) Ning An et al.   TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR

Simultaneous Alcohol/Cannabis Use and Driving Under the Influence in the U.S.

(2022) Priscila D. Gonçalves et al.   AMERICAN JOURNAL OF PREVENTIVE MEDICINE

Identification of Subway Track Irregularities Based on Detection Data of Portable Detector

(2022) Run Liu et al.   TRANSPORTATION RESEARCH RECORD

Feature selection by machine learning models to identify the public’s changing priorities during the COVID-19 pandemic

(2022) Kenan Mengüç et al.   Journal of Ambient Intelligence and Smart Environments

Industry emergence and market capture: The rise of autonomous vehicles

(2022) Luis F. Alvarez León et al.   TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

A data-driven Bayesian network for probabilistic crash risk assessment of individual driver with traffic violation and crash records

(2022) Yang-Jun Joo et al.   ACCIDENT ANALYSIS AND PREVENTION

A driving simulator study to evaluate the effects of different types of median separation on driving behavior on 2 + 1 roads

(2022) Alessandro Calvi et al.   ACCIDENT ANALYSIS AND PREVENTION

A Comparative Study of Machine Learning Methods for Bio-oil Yield Prediction – A Genetic Algorithm-Based Features Selection

(2021) Zahid Ullah et al.   BIORESOURCE TECHNOLOGY

Smart contracts for automated control system in Blockchain based smart cities

(2021) Nihar Ranjan Pradhan et al.   Journal of Ambient Intelligence and Smart Environments

STL-HDL: A new hybrid network intrusion detection system for imbalanced dataset on big data environment

(2021) Samed Al et al.   COMPUTERS & SECURITY

A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations

(2021) Fahmida Haque et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring

(2020) Wei Dong et al.   AUTOMATION IN CONSTRUCTION

A proactive decision support system for predicting traffic crash events: A critical analysis of imbalanced class distribution

(2020) Zouhair Elamrani Abou Elassad et al.   KNOWLEDGE-BASED SYSTEMS

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

A comparison of two hybrid ensemble techniques for network anomaly detection in spark distributed environment

(2020) Gagandeep Kaur   Journal of Information Security and Applications

Exploring the use of machine learning for risk adjustment: A comparison of standard and penalized linear regression models in predicting health care costs in older adults

(2019) Hong J. Kan et al.   PLoS One

An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data

(2019) Ruchika Malhotra et al.   NEUROCOMPUTING

A new hybrid filter/wrapper algorithm for feature selection in classification

(2019) Jixiong Zhang et al.   ANALYTICA CHIMICA ACTA

Network-based direction of movement prediction in financial markets

(2019) Arash Negahdari Kia et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review

(2019) Zouhair Elamrani Abou Elassad et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Data imbalance in classification: Experimental evaluation

(2019) Fadi Thabtah et al.   INFORMATION SCIENCES

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

(2018) Alberto Fernandez et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Fuzzy rule-based oversampling technique for imbalanced and incomplete data learning

(2018) Gencheng Liu et al.   KNOWLEDGE-BASED SYSTEMS

Imbalanced text sentiment classification using universal and domain-specific knowledge

(2018) Yijing Li et al.   KNOWLEDGE-BASED SYSTEMS

Lane keeping of autonomous vehicles based on differential steering with adaptive multivariable super-twisting control

(2018) Chuan Hu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Effects of crash warning systems on rear-end crash avoidance behavior under fog conditions

(2018) Yina Wu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling

(2018) Dongwoo Lee et al.   TRANSPORTATION RESEARCH RECORD

Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing

(2018) Faris Nafiah et al.   NDT & E INTERNATIONAL

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

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

PSO-based method for SVM classification on skewed data sets

(2017) Jair Cervantes et al.   NEUROCOMPUTING

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

(2017) Yichuan Peng et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Crash prediction with behavioral and physiological features for advanced vehicle collision avoidance system

(2017) Yutao Ba et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Prediction of motorcyclist stress using a heartrate strap, the vehicle telemetry and road information

(2017) Víctor Corcoba-Magaña et al.   Journal of Ambient Intelligence and Smart Environments

Driving simulator scenarios and measures to faithfully evaluate risky driving behavior: A comparative study of different driver age groups

(2017) Jesse Michaels et al.   PLoS One

Weather and road geometry impact on longitudinal driving behavior: Exploratory analysis using an empirically supported acceleration modeling framework

(2016) Samer H. Hamdar et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Probabilistic modeling of short survivability in patients with brain metastasis from lung cancer

(2015) Bunjira Makond et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A two-stage feature selection method with its application

(2015) Xuehua Zhao et al.   COMPUTERS & ELECTRICAL ENGINEERING

Extending Time to Collision for probabilistic reasoning in general traffic scenarios

(2015) James R. Ward et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

The influence of in-vehicle speech warning timing on drivers’ collision avoidance performance at signalized intersections

(2015) Xuedong Yan et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

(2012) Carsten F. Dormann et al.   ECOGRAPHY

A Genetic Programming Model for Real-Time Crash Prediction on Freeways

(2012) Chengcheng Xu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Vision and Night Driving Abilities of Elderly Drivers

(2012) Nicole Gruber et al.   Traffic Injury Prevention

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems

(2011) Ming Gao et al.   NEUROCOMPUTING

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets

(2008) Alberto Fernández et al.   FUZZY SETS AND SYSTEMS

Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets

(2008) Alberto Fernández et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING