Artificial Bee Colony based image clustering method. - Emrah Hancer; Celal Öztürk; Dervis Karaboga (IEEE Congress on Evolutionary Computation, 2012)

A new approach to the reconstruction of contour lines extracted from topographic maps. - Refik Samet; Emrah Hancer (J. Vis. Commun. Image Represent., 2012)

A hybrid method to the reconstruction of contour lines from scanned topographic maps. - Emrah Hancer; Refik Samet; Dervis Karaboga (ISIE, 2014)

Color Image Quantization: A Short Review and an Application with Artificial Bee Colony Algorithm. - Celal Öztürk; Emrah Hancer; Dervis Karaboga (Informatica, 2014)

A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001; Dervis Karaboga; Bahriye Akay (CEC, 2015)

A binary ABC algorithm based on advanced similarity scheme for feature selection. - Emrah Hancer; Bing Xue 001; Dervis Karaboga; Mengjie Zhang 001 (Appl. Soft Comput., 2015)

Dynamic clustering with improved binary artificial bee colony algorithm. - Celal Öztürk; Emrah Hancer; Dervis Karaboga (Appl. Soft Comput., 2015)

A novel binary artificial bee colony algorithm based on genetic operators. - Celal Öztürk; Emrah Hancer; Dervis Karaboga (Inf. Sci., 2015)

Improved clustering criterion for image clustering with artificial bee colony algorithm. - Celal Öztürk; Emrah Hancer; Dervis Karaboga (Pattern Anal. Appl., 2015)

Yapay arı koloni algoritması tabanlı görüntü kümeleme yöntemlerinin geliştirilmesi (Development of artificial bee colony algorithm based image clustering approaches) - Emrah Hançer (2016)

A differential evolution based feature selection approach using an improved filter criterion. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2017)

A comprehensive survey of traditional, merge-split and evolutionary approaches proposed for determination of cluster number. - Emrah Hancer; Dervis Karaboga (Swarm Evol. Comput., 2017)

Pareto front feature selection based on artificial bee colony optimization. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001; Dervis Karaboga; Bahriye Akay (Inf. Sci., 2018)

Differential evolution for filter feature selection based on information theory and feature ranking. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (Knowl. Based Syst., 2018)

Fuzzy kernel feature selection with multi-objective differential evolution algorithm. - Emrah Hancer (Connect. Sci., 2019)

Differential evolution for feature selection: a fuzzy wrapper-filter approach. - Emrah Hancer (Soft Comput., 2019)

A survey on feature selection approaches for clustering. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (Artif. Intell. Rev., 2020)

A new multi-objective differential evolution approach for simultaneous clustering and feature selection. - Emrah Hancer (Eng. Appl. Artif. Intell., 2020)

New filter approaches for feature selection using differential evolution and fuzzy rough set theory. - Emrah Hancer (Neural Comput. Appl., 2020)

A wrapper metaheuristic framework for handwritten signature verification. - Emrah Hancer; Ilya A. Hodashinsky; Konstantin S. Sarin; Artyom Slezkin (Soft Comput., 2021)

Effect of Color Normalization on Nuclei Segmentation Problem in H&E Stained Histopathology Images. - Zeynep Yildirim; Emrah Hançer; Refik Samet; Mohamed Traoré Mali 001; Nooshin Nemati (SIU, 2022)

Binary PSO Variants for Feature Selection in Handwritten Signature Authentication. - Emrah Hancer; Marina Bardamova; Ilya A. Hodashinsky; Konstantin S. Sarin; Artem Slezkin; Mikhail Svetlakov (Informatica, 2022)

Fuzzy filter cost-sensitive feature selection with differential evolution. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (Knowl. Based Syst., 2022)

A multi-objective Artificial Bee Colony algorithm for cost-sensitive subset selection. - Emrah Hancer (Neural Comput. Appl., 2022)

Gland Segmentation in H&E Histopathological Images using U-Net with Attention Module. - Zeynep Yildirim; Refik Samet; Emrah Hancer; Nooshin Nemati; Mohamed Traoré Mali 001 (IPTA, 2023)

An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images. - Emrah Hancer; Mohamed Traoré 001; Refik Samet; Zeynep Yildirim; Nooshin Nemati (Biomed. Signal Process. Control., 2023)

An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (Knowl. Based Syst., 2023)

CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images. - Mohamed Traoré 001; Emrah Hancer; Refik Samet; Zeynep Yildirim; Nooshin Nemati (Biomed. Signal Process. Control., 2024)

An improved evolutionary wrapper-filter feature selection approach with a new initialisation scheme. - Emrah Hancer (Mach. Learn., 2024)

A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Artif. Intell., 2024)

A methodology for nuclei segmentation in H&E images using EfficientNetB7 guided U-Net and multiple data augmentation strategies. - Furkan Atlan; Emrah Hançer (Turkish J. Electr. Eng. Comput. Sci., 2025)

A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

MiDeSeC: A Dataset for Mitosis Detection and Segmentation in Breast Cancer Histopathology Images. - Refik Samet; Nooshin Nemati; Emrah Hancer; Serpil Sak; Bilge Ayca Kirmizi; Zeynep Yildirim (CoRR, 2025)

NuSeC: A Dataset for Nuclei Segmentation in Breast Cancer Histopathology Images. - Refik Samet; Nooshin Nemati; Emrah Hancer; Serpil Sak; Bilge Ayca Kirmizi (CoRR, 2025)