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Emrah Hançer
Emrah Hançer
Department of Software Engineering, Mehmet Akif Ersoy University
Verified email at mehmetakif.edu.tr
Title
Cited by
Cited by
Year
Differential evolution for filter feature selection based on information theory and feature ranking
E Hancer, B Xue, M Zhang
Knowledge-Based Systems 140, 103-119, 2018
3392018
Pareto front feature selection based on artificial bee colony optimization
E Hancer, B Xue, M Zhang, D Karaboga, B Akay
Information Sciences 422, 462-479, 2018
3152018
A novel binary artificial bee colony algorithm based on genetic operators
C Ozturk, E Hancer, D Karaboga
Information Sciences 297, 154-170, 2015
1882015
Dynamic clustering with improved binary artificial bee colony algorithm
C Ozturk, E Hancer, D Karaboga
Applied Soft Computing 28, 69-80, 2015
1872015
A binary ABC algorithm based on advanced similarity scheme for feature selection
E Hancer, B Xue, D Karaboga, M Zhang
Applied Soft Computing 36, 334-348, 2015
1732015
A survey on feature selection approaches for clustering
E Hancer, B Xue, M Zhang
Artificial Intelligence Review, 1-27, 2020
1382020
A comprehensive survey of traditional, merge-split and evolutionary approaches proposed for determination of cluster number
E Hancer, D Karaboga
Swarm and Evolutionary Computation 32, 49-67, 2017
1332017
A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information
E Hancer, B Xue, M Zhang, D Karaboga, B Akay
2015 IEEE congress on evolutionary computation (CEC), 2420-2427, 2015
882015
Differential evolution for feature selection: a fuzzy wrapper–filter approach
E Hancer
Soft Computing 23, 5233-5248, 2019
752019
Artificial bee colony based image clustering method
E Hancer, C Ozturk, D Karaboga
2012 IEEE congress on evolutionary computation, 1-5, 2012
722012
Improved clustering criterion for image clustering with artificial bee colony algorithm
C Ozturk, E Hancer, D Karaboga
Pattern Analysis and Applications 18, 587-599, 2015
682015
Color image quantization: a short review and an application with artificial bee colony algorithm
C Ozturk, E Hancer, D Karaboga
Informatica 25 (3), 485-503, 2014
672014
A new multi-objective differential evolution approach for simultaneous clustering and feature selection
E Hancer
Engineering applications of artificial intelligence 87, 103307, 2020
652020
Extraction of brain tumors from MRI images with artificial bee colony based segmentation methodology
E Hancer, C Ozturk, D Karaboga
2013 8th International conference on electrical and electronics engineering …, 2013
562013
A new approach to the reconstruction of contour lines extracted from topographic maps
R Samet, E Hancer
Journal of Visual Communication and Image Representation 23 (4), 642-647, 2012
442012
Fuzzy kernel feature selection with multi-objective differential evolution algorithm
E Hancer
Connection Science 31 (4), 323-341, 2019
292019
Automatic clustering with global best artificial bee colony algorithm
C Ozturk, E Hancer, D KARABOĞA
Journal of the Faculty of Engineering and Architecture of Gazi University 29 (4), 2014
27*2014
New filter approaches for feature selection using differential evolution and fuzzy rough set theory
E Hancer
Neural Computing and Applications 32 (7), 2929-2944, 2020
232020
Fuzzy filter cost-sensitive feature selection with differential evolution
E Hancer, B Xue, M Zhang
Knowledge-Based Systems 241, 108259, 2022
202022
Advanced contour reconnection in scanned topographic maps
E Hancer, R Samet
2011 5th International conference on application of information and …, 2011
202011
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