Emrah Hancer

Orcid: 0000-0002-3213-5191

According to our database1, Emrah Hancer authored at least 30 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification.
IEEE Trans. Artif. Intell., September, 2024

An improved evolutionary wrapper-filter feature selection approach with a new initialisation scheme.
Mach. Learn., July, 2024

CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images.
Biomed. Signal Process. Control., 2024

2023
An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios.
Knowl. Based Syst., November, 2023

An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images.
Biomed. Signal Process. Control., May, 2023

Gland Segmentation in H&E Histopathological Images using U-Net with Attention Module.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

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

Fuzzy filter cost-sensitive feature selection with differential evolution.
Knowl. Based Syst., 2022

Binary PSO Variants for Feature Selection in Handwritten Signature Authentication.
Informatica, 2022

Effect of Color Normalization on Nuclei Segmentation Problem in H&E Stained Histopathology Images.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021
A wrapper metaheuristic framework for handwritten signature verification.
Soft Comput., 2021

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

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

A survey on feature selection approaches for clustering.
Artif. Intell. Rev., 2020

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

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

2018
Differential evolution for filter feature selection based on information theory and feature ranking.
Knowl. Based Syst., 2018

Pareto front feature selection based on artificial bee colony optimization.
Inf. Sci., 2018

2017
A comprehensive survey of traditional, merge-split and evolutionary approaches proposed for determination of cluster number.
Swarm Evol. Comput., 2017

A differential evolution based feature selection approach using an improved filter criterion.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Yapay arı koloni algoritması tabanlı görüntü kümeleme yöntemlerinin geliştirilmesi (Development of artificial bee colony algorithm based image clustering approaches)
PhD thesis, 2016

2015
Improved clustering criterion for image clustering with artificial bee colony algorithm.
Pattern Anal. Appl., 2015

A novel binary artificial bee colony algorithm based on genetic operators.
Inf. Sci., 2015

Dynamic clustering with improved binary artificial bee colony algorithm.
Appl. Soft Comput., 2015

A binary ABC algorithm based on advanced similarity scheme for feature selection.
Appl. Soft Comput., 2015

A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Color Image Quantization: A Short Review and an Application with Artificial Bee Colony Algorithm.
Informatica, 2014

A hybrid method to the reconstruction of contour lines from scanned topographic maps.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014

2012
A new approach to the reconstruction of contour lines extracted from topographic maps.
J. Vis. Commun. Image Represent., 2012

Artificial Bee Colony based image clustering method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012


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