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Dr. Maria Ferentinou
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Cited by
Year
A study of slope stability prediction using neural networks
MG Sakellariou, MD Ferentinou
Geotechnical & Geological Engineering 23, 419-445, 2005
3142005
GIS-based landslide susceptibility mapping on the Peloponnese Peninsula, Greece
C Chalkias, M Ferentinou, C Polykretis
Geosciences 4 (3), 176-190, 2014
1602014
Computational intelligence tools for the prediction of slope performance
MD Ferentinou, MG Sakellariou
Computers and Geotechnics 34 (5), 362-384, 2007
1202007
Slope stability classification under seismic conditions using several tree-based intelligent techniques
PG Asteris, FIM Rizal, M Koopialipoor, PC Roussis, M Ferentinou, ...
Applied Sciences 12 (3), 1753, 2022
892022
A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments …
C Polykretis, M Ferentinou, C Chalkias
Bulletin of Engineering Geology and the Environment 74, 27-45, 2015
882015
Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area
C Polykretis, C Chalkias, M Ferentinou
Bulletin of Engineering Geology and the Environment 78, 1173-1187, 2019
822019
Shallow landslide susceptibility assessment in a semiarid environment—A Quaternary catchment of KwaZulu-Natal, South Africa
C Romer, M Ferentinou
Engineering geology 201, 29-44, 2016
822016
GIS-based estimation of slope stability
MG Sakellariou, MD Ferentinou
Natural Hazards Review 2 (1), 12-21, 2001
762001
Assessment of the sensitivity of the southern coast of the Gulf of Corinth (Peloponnese, Greece) to sea-level rise
E Karymbalis, C Chalkias, G Chalkias, E Grigoropoulou, G Manthos, ...
Central European Journal of Geosciences 4, 561-577, 2012
632012
Landslide phenomena related to major fault tectonics: rift zone of Corinth Gulf, Greece
G Koukis, N Sabatakakis, M Ferentinou, S Lainas, X Alexiadou, ...
Bulletin of engineering geology and the environment 68, 215-229, 2009
582009
Integrating rock engineering systems device and artificial neural networks to predict stability conditions in an open pit
M Ferentinou, M Fakir
Engineering Geology 246, 293-309, 2018
522018
GIS supported landslide susceptibility modeling at regional scale: An expert-based fuzzy weighting method
C Chalkias, M Ferentinou, C Polykretis
ISPRS International Journal of Geo-Information 3 (2), 523-539, 2014
482014
Landslide susceptibility, Peloponnese peninsula in south Greece
C Chalkias, S Kalogirou, M Ferentinou
Journal of Maps 10 (2), 211-222, 2014
432014
An ANN approach for the prediction of uniaxial compressive strength, of some sedimentary and igneous rocks in eastern KwaZulu-Natal
M Ferentinou, M Fakir
ISRM EUROCK, ISRM-EUROCK-2017-141, 2017
422017
Numerical investigations of rock bridge effect on open pit slope stability
C Romer, M Ferentinou
Journal of Rock Mechanics and Geotechnical Engineering 11 (6), 1184-1200, 2019
362019
On random subspace optimization-based hybrid computing models predicting the california bearing ratio of soils
DK Trong, BT Pham, FE Jalal, M Iqbal, PC Roussis, A Mamou, ...
Materials 14 (21), 6516, 2021
312021
Mapping mass movement susceptibility across Greece with GIS, ANN and statistical methods
M Ferentinou, C Chalkias
Landslide Science and Practice: Volume 1: Landslide Inventory and …, 2013
302013
Predicting clay compressibility using a novel Manta ray foraging optimization-based extreme learning machine model
PG Asteris, A Mamou, M Ferentinou, TT Tran, J Zhou
Transportation Geotechnics 37, 100861, 2022
282022
Bagging and multilayer perceptron hybrid intelligence models predicting the swelling potential of soil
DD Nguyen, PC Roussis, BT Pham, M Ferentinou, A Mamou, DQ Vu, ...
Transportation Geotechnics 36, 100797, 2022
232022
Exploring spatial non-stationarity in the relationships between landslide susceptibility and conditioning factors: A local modeling approach using geographically weighted …
C Chalkias, C Polykretis, E Karymbalis, M Soldati, A Ghinoi, M Ferentinou
Bulletin of Engineering Geology and the Environment 79, 2799-2814, 2020
232020
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