| A study of slope stability prediction using neural networks MG Sakellariou, MD Ferentinou Geotechnical & Geological Engineering 23, 419-445, 2005 | 314 | 2005 |
| GIS-based landslide susceptibility mapping on the Peloponnese Peninsula, Greece C Chalkias, M Ferentinou, C Polykretis Geosciences 4 (3), 176-190, 2014 | 160 | 2014 |
| Computational intelligence tools for the prediction of slope performance MD Ferentinou, MG Sakellariou Computers and Geotechnics 34 (5), 362-384, 2007 | 120 | 2007 |
| 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 | 89 | 2022 |
| 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 | 88 | 2015 |
| 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 | 82 | 2019 |
| 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 | 82 | 2016 |
| GIS-based estimation of slope stability MG Sakellariou, MD Ferentinou Natural Hazards Review 2 (1), 12-21, 2001 | 76 | 2001 |
| 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 | 63 | 2012 |
| 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 | 58 | 2009 |
| 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 | 52 | 2018 |
| 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 | 48 | 2014 |
| Landslide susceptibility, Peloponnese peninsula in south Greece C Chalkias, S Kalogirou, M Ferentinou Journal of Maps 10 (2), 211-222, 2014 | 43 | 2014 |
| 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 | 42 | 2017 |
| 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 | 36 | 2019 |
| 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 | 31 | 2021 |
| 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 | 30 | 2013 |
| 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 | 28 | 2022 |
| 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 | 23 | 2022 |
| 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 | 23 | 2020 |
Michael SakellariouNational Tecnical University of AthensVerified email at mail.ntua.gr
