|Gully erosion susceptibility assessment by means of GIS-based logistic regression: A case of Sicily (Italy)|
C Conoscenti, S Angileri, C Cappadonia, E Rotigliano, V Agnesi, ...
Geomorphology 204, 399-411, 2014
|GIS analysis to assess landslide susceptibility in a fluvial basin of NW Sicily (Italy)|
C Conoscenti, C Di Maggio, E Rotigliano
Geomorphology 94 (3-4), 325-339, 2008
|Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the …|
L Lombardo, M Cama, C Conoscenti, M Märker, E Rotigliano
Natural Hazards 79 (3), 1621-1648, 2015
|Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: a case of the Belice River basin (western Sicily …|
C Conoscenti, M Ciaccio, NA Caraballo-Arias, Á Gómez-Gutiérrez, ...
Geomorphology 242, 49-64, 2015
|Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two mediterranean basins: advantages and limitations|
Á Gómez-Gutiérrez, C Conoscenti, SE Angileri, E Rotigliano, S Schnabel
Natural Hazards 79 (1), 291-314, 2015
|Soil erosion susceptibility assessment and validation using a geostatistical multivariate approach: a test in Southern Sicily|
C Conoscenti, C Di Maggio, E Rotigliano
Natural Hazards 46 (3), 287-305, 2008
|A GIS-based approach for gully erosion susceptibility modelling: a test in Sicily, Italy|
C Conoscenti, V Agnesi, S Angileri, C Cappadonia, E Rotigliano, ...
Environmental earth sciences 70 (3), 1179-1195, 2013
|Exploring the effect of absence selection on landslide susceptibility models: a case study in Sicily, Italy|
C Conoscenti, E Rotigliano, M Cama, NA Caraballo-Arias, L Lombardo, ...
Geomorphology 261, 222-235, 2016
|A multidisciplinary approach to the evaluation of the mechanism that triggered the Cerda landslide (Sicily, Italy)|
V Agnesi, M Camarda, C Conoscenti, C Di Maggio, IS Diliberto, ...
Geomorphology 65 (1-2), 101-116, 2005
|A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran|
A Arabameri, K Rezaei, A Cerdà, C Conoscenti, Z Kalantari
Science of the Total Environment 660, 443-458, 2019
|Forward logistic regression for earth-flow landslide susceptibility assessment in the Platani river basin (southern Sicily, Italy)|
D Costanzo, J Chacón, C Conoscenti, C Irigaray, E Rotigliano
Landslides 11 (4), 639-653, 2014
|Improving transferability strategies for debris flow susceptibility assessment: Application to the Saponara and Itala catchments (Messina, Italy)|
M Cama, L Lombardo, C Conoscenti, E Rotigliano
Geomorphology 288, 52-65, 2017
|Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy)|
M Cama, C Conoscenti, L Lombardo, E Rotigliano
Environmental earth sciences 75 (3), 238, 2016
|Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping|
Y Garosi, M Sheklabadi, HR Pourghasemi, AA Besalatpour, C Conoscenti, ...
Geoderma 330, 65-78, 2018
|Water erosion susceptibility mapping by applying stochastic gradient treeboost to the Imera Meridionale river basin (Sicily, Italy)|
SE Angileri, C Conoscenti, V Hochschild, M Märker, E Rotigliano, ...
Geomorphology 262, 61-76, 2016
|Predicting storm-triggered debris flow events: application to the 2009 Ionian Peloritan disaster (Sicily, Italy).|
M Cama, L Lombardo, C Conoscenti, V Agnesi, E Rotigliano
Natural Hazards & Earth System Sciences 15 (8), 2015
|The role of the diagnostic areas in the assessment of landslide susceptibility models: a test in the Sicilian chain|
E Rotigliano, V Agnesi, C Cappadonia, C Conoscenti
Natural hazards 58 (3), 981-999, 2011
|Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques|
A Arabameri, B Pradhan, K Rezaei, C Conoscenti
Catena 180, 282-297, 2019
|Assessing the performance of GIS-based machine learning models with different accuracy measures for determining susceptibility to gully erosion|
Y Garosi, M Sheklabadi, C Conoscenti, HR Pourghasemi, K Van Oost
Science of the Total Environment 664, 1117-1132, 2019
|PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches|
O Rahmati, A Kornejady, M Samadi, RC Deo, C Conoscenti, L Lombardo, ...
Science of the total environment 664, 296-311, 2019