Skip to main navigation
Skip to search
Skip to main content
KAUST PORTAL FOR RESEARCHERS AND STUDENTS Home
Home
Profiles
Research units
Research output
Press/Media
Prizes
Courses
Equipment
Student theses
Datasets
Search by expertise, name or affiliation
Presenting logistic regression-based landslide susceptibility results
Luigi Lombardo
*
,
P. Martin Mai
*
Corresponding author for this work
Physical Sciences and Engineering
Earth Science and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
195
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Presenting logistic regression-based landslide susceptibility results'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Logistic Regression
100%
Best Practice
50%
Parameter Estimation
50%
Feature Selection
50%
Workflow
50%
Logistic Regression Model
50%
Selection Operator
50%
Engineering
Parameter Estimation
100%
Presenting Result
100%
Flow Work
100%
Earth and Planetary Sciences
Parameter Estimation
100%
Debris Flow
100%
Geomorphological Response
100%
Mathematics
Logistic Regression
100%
Logistic Regression Model
50%
Regression Result
50%
Generalized Linear Model
50%
Parameter Estimation
50%
Keyphrases
Well-exposedness
50%
Analytics Application
50%
Simultaneous Parameter Estimation
50%
Logistic Regression Method
50%