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ORCIDEmrah Hancer
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2020 – today
- 2024
[j22]Mohamed Traoré
, Emrah Hancer, Refik Samet, Zeynep Yildirim, Nooshin Nemati:
CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images. Biomed. Signal Process. Control. 97: 106699 (2024)- [j21]Emrah Hancer:
An improved evolutionary wrapper-filter feature selection approach with a new initialisation scheme. Mach. Learn. 113(8): 4977-5000 (2024) - 2023
- [j20]Emrah Hancer, Mohamed Traoré, Refik Samet, Zeynep Yildirim, Nooshin Nemati:
An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images. Biomed. Signal Process. Control. 83: 104720 (2023) - [j19]Emrah Hancer, Bing Xue, Mengjie Zhang:
An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios. Knowl. Based Syst. 280: 111008 (2023) - [c6]Zeynep Yildirim, Refik Samet, Emrah Hancer, Nooshin Nemati, Mohamed Traoré Mali:
Gland Segmentation in H&E Histopathological Images using U-Net with Attention Module. IPTA 2023: 1-6 - 2022
- [j18]Emrah Hancer, Marina Bardamova, Ilya A. Hodashinsky, Konstantin S. Sarin, Artem Slezkin, Mikhail Svetlakov:
Binary PSO Variants for Feature Selection in Handwritten Signature Authentication. Informatica 33(3): 523-543 (2022) - [j17]Emrah Hancer, Bing Xue, Mengjie Zhang:
Fuzzy filter cost-sensitive feature selection with differential evolution. Knowl. Based Syst. 241: 108259 (2022) - [j16]Emrah Hancer:
A multi-objective Artificial Bee Colony algorithm for cost-sensitive subset selection. Neural Comput. Appl. 34(20): 17523-17537 (2022) - [c5]Zeynep Yildirim, Emrah Hançer, Refik Samet, Mohamed Traoré Mali, Nooshin Nemati:
Effect of Color Normalization on Nuclei Segmentation Problem in H&E Stained Histopathology Images. SIU 2022: 1-4 - 2021
- [j15]Emrah Hancer, Ilya A. Hodashinsky, Konstantin S. Sarin, Artyom Slezkin:
A wrapper metaheuristic framework for handwritten signature verification. Soft Comput. 25(13): 8665-8681 (2021) - 2020
- [j14]Emrah Hancer, Bing Xue, Mengjie Zhang:
A survey on feature selection approaches for clustering. Artif. Intell. Rev. 53(6): 4519-4545 (2020) - [j13]Emrah Hancer:
A new multi-objective differential evolution approach for simultaneous clustering and feature selection. Eng. Appl. Artif. Intell. 87 (2020) - [j12]Emrah Hancer:
New filter approaches for feature selection using differential evolution and fuzzy rough set theory. Neural Comput. Appl. 32(7): 2929-2944 (2020)
2010 – 2019
- 2019
- [j11]Emrah Hancer:
Fuzzy kernel feature selection with multi-objective differential evolution algorithm. Connect. Sci. 31(4): 323-341 (2019) - [j10]Emrah Hancer:
Differential evolution for feature selection: a fuzzy wrapper-filter approach. Soft Comput. 23(13): 5233-5248 (2019) - 2018
- [j9]Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye Akay:
Pareto front feature selection based on artificial bee colony optimization. Inf. Sci. 422: 462-479 (2018) - [j8]Emrah Hancer, Bing Xue, Mengjie Zhang:
Differential evolution for filter feature selection based on information theory and feature ranking. Knowl. Based Syst. 140: 103-119 (2018) - 2017
- [j7]Emrah Hancer, Dervis Karaboga:
A comprehensive survey of traditional, merge-split and evolutionary approaches proposed for determination of cluster number. Swarm Evol. Comput. 32: 49-67 (2017) - [c4]Emrah Hancer, Bing Xue, Mengjie Zhang:
A differential evolution based feature selection approach using an improved filter criterion. SSCI 2017: 1-8 - 2016
- [b1]Emrah Hançer:
Yapay arı koloni algoritması tabanlı görüntü kümeleme yöntemlerinin geliştirilmesi (Development of artificial bee colony algorithm based image clustering approaches). Erciyes University, Turkey, 2016 - 2015
- [j6]Celal Öztürk, Emrah Hancer, Dervis Karaboga:
Dynamic clustering with improved binary artificial bee colony algorithm. Appl. Soft Comput. 28: 69-80 (2015) - [j5]Emrah Hancer, Bing Xue, Dervis Karaboga, Mengjie Zhang:
A binary ABC algorithm based on advanced similarity scheme for feature selection. Appl. Soft Comput. 36: 334-348 (2015) - [j4]Celal Öztürk, Emrah Hancer, Dervis Karaboga:
A novel binary artificial bee colony algorithm based on genetic operators. Inf. Sci. 297: 154-170 (2015) - [j3]Celal Öztürk, Emrah Hancer, Dervis Karaboga:
Improved clustering criterion for image clustering with artificial bee colony algorithm. Pattern Anal. Appl. 18(3): 587-599 (2015) - [c3]Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye Akay:
A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information. CEC 2015: 2420-2427 - 2014
- [j2]Celal Öztürk, Emrah Hancer, Dervis Karaboga:
Color Image Quantization: A Short Review and an Application with Artificial Bee Colony Algorithm. Informatica 25(3): 485-503 (2014) - [c2]Emrah Hancer, Refik Samet, Dervis Karaboga:
A hybrid method to the reconstruction of contour lines from scanned topographic maps. ISIE 2014: 930-933 - 2012
- [j1]Refik Samet, Emrah Hancer:
A new approach to the reconstruction of contour lines extracted from topographic maps. J. Vis. Commun. Image Represent. 23(4): 642-647 (2012) - [c1]Emrah Hancer, Celal Öztürk, Dervis Karaboga:
Artificial Bee Colony based image clustering method. IEEE Congress on Evolutionary Computation 2012: 1-5
Coauthor Index
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