Mehmet Koç

Orcid: 0000-0003-2919-6011

According to our database1, Mehmet Koç authored at least 28 papers between 2010 and 2025.

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

Timeline

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On csauthors.net:

Bibliography

2025
Indifference subspace of deep features for lung nodule classification from CT images.
Expert Syst. Appl., 2025

2024
On the enhancement of semi-supervised deep learning-based railway defect detection using pseudo-labels.
Expert Syst. Appl., 2024

2023
Neural network representations for the inter- and intra-class common vector classifiers.
Digit. Signal Process., October, 2023

Low-Dose CT Image Enhancement Using Deep Learning.
CoRR, 2023

Are Deep Learning Classification Results Obtained on CT Scans Fair and Interpretable?
CoRR, 2023

2021
A novel partition selection method for modular face recognition approaches on occlusion problem.
Mach. Vis. Appl., 2021

2020
Use of gradient and normal vectors for face recognition.
IET Image Process., 2020

Peak shaving and technical loss minimization in distribution grids: a time-of-use-based pricing approach for distribution service tariffs.
Turkish J. Electr. Eng. Comput. Sci., 2020

2019
A Quality Control Application on a Smart Factory Prototype Using Deep Learning Methods.
Proceedings of the IEEE 14th International Conference on Computer Sciences and Information Technologies, 2019

Different Decision Fusion Methods for Modular Common Vector Approach.
Proceedings of the IEEE 14th International Conference on Computer Sciences and Information Technologies, 2019

Decision Fusion for Partially Occluded Face Recognition Using Common Vector Approach.
Proceedings of the Advances in Intelligent Systems and Computing IV, 2019

2018
Some variants of spiral LBP in texture recognition.
IET Image Process., 2018

Improved Multi-spiral Local Binary Pattern in Texture Recognition.
Proceedings of the Advances in Intelligent Systems and Computing III, 2018

Improving the Performance of Spiral Local Binary Pattern Using Edge Information.
Proceedings of the Advances in Intelligent Systems and Computing III, 2018

2016
Reconstructing rated items from perturbed data.
Neurocomputing, 2016

A comparison of classification methods for local binary patterns.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015
A survey: deriving private information from perturbed data.
Artif. Intell. Rev., 2015

On the discovery of fake binary ratings.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

On the Privacy of Horizontally Partitioned Binary Data-Based Privacy-Preserving Collaborative Filtering.
Proceedings of the Data Privacy Management, and Security Assurance, 2015

2014
Application of Linear Regression Classification to low-dimensional datasets.
Neurocomputing, 2014

Discriminative common vector approach based feature selection in face recognition.
Comput. Electr. Eng., 2014

Modular common vector approach.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013
Local Primitive Pattern for the Classification of SAR Images.
IEEE Trans. Geosci. Remote. Sens., 2013

2012
Application of the Discriminative Common Vector Approach to one sample problem.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

A novel feature extraction method for the classification of SAR images.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
A new solution to one sample problem in face recognition using FLDA.
Appl. Math. Comput., 2011

2010
A fast method for the implementation of common vector approach.
Inf. Sci., 2010

PCF: Projection-based Collaborative Filtering.
Proceedings of the KDIR 2010, 2010


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