a comparative evaluation of multi-criteria analysis and machine learning techniques

Ferreira, Z., Almeida, B., Costa, A. C., do Couto Fernandes, M., & Cabral, P. (2025). Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques. Geomatics, Natural Hazards and Risk, 16, 1-32. https://doi.org/10.1080/19475705.2025.2471019 --- This work was supported by national funds through the Fundação para a Ciência e a Tecnologia (FCT), under the project UIDB/04152/2020 - DOI: 10.54499/UIDB/04152/2020 - from the Centro de Investigação em Gestão de Informação (MagIC/NOVA IMS), and by the Instituto Federal de Educação, Ciência e Tecnologia do Tocantins (Campus Palmas).

Publication Details

Journal
Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Published
2025-03-10
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

a comparative evaluation of multi-criteria analysis and machine learning techniques

Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Geochemistry and Geologic Mapping
article

a comparative evaluation of multi-criteria analysis and machine learning techniques

article en

Abstract

Ferreira, Z., Almeida, B., Costa, A. C., do Couto Fernandes, M., & Cabral, P. (2025). Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques. Geomatics, Natural Hazards and Risk, 16, 1-32. https://doi.org/10.1080/19475705.2025.2471019 --- This work was supported by national funds through the Fundação para a Ciência e a Tecnologia (FCT), under the project UIDB/04152/2020 - DOI: 10.54499/UIDB/04152/2020 - from the Centro de Investigação em Gestão de Informação (MagIC/NOVA IMS), and by the Instituto Federal de Educação, Ciência e Tecnologia do Tocantins (Campus Palmas).

Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Openalex Percentile: Top 69%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

a comparative evaluation of multi-criteria analysis and machine learning techniques · Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa) (2025) | TGRS Research Map | TGRS