Ebru Akcapinar Sezer
Ebru Akcapinar Sezer
Verified email at hacettepe.edu.tr
Cited by
Cited by
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm
A Akgun, EA Sezer, HA Nefeslioglu, C Gokceoglu, B Pradhan
Computers & Geosciences 38 (1), 23-34, 2012
Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia
EA Sezer, B Pradhan, C Gokceoglu
Expert Systems with Applications 38 (7), 8208-8219, 2011
Landslide susceptibility mapping by neuro-fuzzy approach in a landslide-prone area (Cameron Highlands, Malaysia)
B Pradhan, EA Sezer, C Gokceoglu, MF Buchroithner
IEEE Transactions on Geoscience and Remote Sensing 48 (12), 4164-4177, 2010
Assessment of landslide susceptibility by decision trees in the metropolitan area of Istanbul, Turkey
HA Nefeslioglu, E Sezer, C Gokceoglu, AS Bozkir, TY Duman
Mathematical Problems in Engineering 2010, 2010
Application of two non-linear prediction tools to the estimation of tunnel boring machine performance
S Yagiz, C Gokceoglu, E Sezer, S Iplikci
Engineering Applications of Artificial Intelligence 22 (4-5), 808-814, 2009
A comparison of some soft computing methods for software fault prediction
E Erturk, EA Sezer
Expert systems with applications 42 (4), 1872-1879, 2015
Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulusá…
S Yagiz, EA Sezer, C Gokceoglu
International Journal for Numerical and Analytical Methods in Geomechanicsá…, 2012
A modified analytical hierarchy process (M-AHP) approach for decision support systems in natural hazard assessments
HA Nefeslioglu, EA Sezer, C Gokceoglu, Z Ayas
Computers & Geosciences 59, 1-8, 2013
Modeling of the uniaxial compressive strength of some clay-bearing rocks using neural network
A Cevik, EA Sezer, AF Cabalar, C Gokceoglu
Applied Soft Computing 11 (2), 2587-2594, 2011
Prediction of uniaxial compressive strength of granitic rocks by various nonlinear tools and comparison of their performances
N Yesiloglu-Gultekin, C Gokceoglu, EA Sezer
International Journal of Rock Mechanics and Mining Sciences 62, 113-122, 2013
A statistical assessment on international landslide literature (1945–2008)
C Gokceoglu, E Sezer
Landslides 6 (4), 345, 2009
An application of adaptive neuro fuzzy inference system for estimating the uniaxial compressive strength of certain granitic rocks from their mineral contents
N Yesiloglu-Gultekin, EA Sezer, C Gokceoglu, H Bayhan
Expert Systems with Applications 40 (3), 921-928, 2013
Some non-linear models to predict the weathering degrees of a granitic rock from physical and mechanical parameters
G Dagdelenler, EA Sezer, C Gokceoglu
Expert systems with applications 38 (6), 7476-7485, 2011
Assessment of feature selection metrics for sentiment analyses: Turkish movie reviews
F Akba, A Ušan, EA Sezer, H Sever
8th European Conference on Data Mining 191, 180-184, 2014
Identification of user patterns in social networks by data mining techniques: Facebook case
AS Bozkır, SG Mazman, EA Sezer
International Symposium on Information Management in a Changing World, 145-153, 2010
An assessment on producing synthetic samples by fuzzy C-means for limited number of data in prediction models
EA Sezer, HA Nefeslioglu, C Gokceoglu
Applied Soft Computing 24, 126-134, 2014
GeoFIS: an integrated tool for the assessment of landslide susceptibility
T Osna, EA Sezer, A Akgun
Computers & Geosciences 66, 20-30, 2014
Predicting food demand in food courts by decision tree approaches
AS Bozkir, EA Sezer
Procedia Computer Science 3, 759-763, 2011
Iterative software fault prediction with a hybrid approach
E Erturk, EA Sezer
Applied Soft Computing 49, 1020-1033, 2016
Machine Learning and Data Mining in Pattern Recognition: Second International Workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001. Proceedings
P Perner
Springer, 2003
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