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Handling Imbalanced Data for Real-Time Crash Prediction: Application of Boosting and Sampling Techniques

Author(s): ORCID (Research Assistant, Dept. of Civil and Architectural Engineering and Mechanics, Univ. of Arizona, Tucson, AZ 85721 (corresponding author))
ORCID (Graduate Research Assistant, Dept. of Civil and Architectural Engineering and Mechanics, Univ. of Arizona, Tucson, AZ 85721)
(Professor, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Milwaukee, Milwaukee, WI 53211.)
ORCID (Associate Professor, Dept. of Civil and Architectural Engineering and Mechanics, Univ. of Arizona, Tucson, AZ 85721)
ORCID (Assistant Professor of Project and Operations Management, Dept. of Management, College of Business, Bryant Univ., Smithfield, RI 02917)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, Part A: Systems, , n. 3, v. 147
Page(s): 04020165
DOI: 10.1061/jtepbs.0000499
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/jtepbs.0000499.
  • About this
    data sheet
  • Reference-ID
    10580589
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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