Crash Severity Analysis of Highways Based on Multinomial Logistic Regression Model, Decision Tree Techniques, and Artificial Neural Network: A Modeling Comparison

Autor: Gholamreza Shiran, Razieh Khayamim, Reza Imaninasab

Publikováno v: Sustainability, Vol 13, Iss 5670, p 5670 (2021)
Sustainability
Volume 13
Issue 10

The classification of vehicular crashes based on their severity is crucial since not all of them have the same financial and injury values. In addition, avoiding crashes by identifying their influential factors is possible via accurate prediction mod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bdb9588eea5934f64d77d56c5e6c738
https://www.mdpi.com/2071-1050/13/10/5670

Towards a semi-automatic functional annotation tool based on decision tree techniques

Autor: Jérôme Azé, Gentils, L., Claire Toffano-Nioche, Valentin Loux, Jean-François Gibrat, Philippe Bessières, Rouveirol, C., Anne Poupon, Christine Froidevaux

Publikováno v: HAL
BMC Proceedings
Machine Learning in Systems Biology: MLSB 2007
Machine Learning in Systems Biology: MLSB 2007, Sep 2007, Evry, France
BMC Proceedings 2008. S3 (2), 2007; Machine Learning in Systems Biology: MLSB 2007, Evry, FRA, 2007-09-24-2007-09-25, 1-11

National audience; Background: Due to the continuous improvements of high throughput technologies and experimental procedures, the number of sequenced genomes is increasing exponentially. Ultimately, the task of annotating these data relies on the ex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2a87248eba031d124b887a50fa386ce5
https://hal.inrae.fr/hal-02754400