Nuh Alpaslan

Orcid: 0000-0002-6828-755X

According to our database1, Nuh Alpaslan authored at least 14 papers between 2013 and 2022.

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

Timeline

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Bibliography

2022
Robust optimization of SegNet hyperparameters for skin lesion segmentation.
Multim. Tools Appl., 2022

Neutrosophic set based local binary pattern for texture classification.
Expert Syst. Appl., 2022

2020
Multi-Scale Shape Index-Based Local Binary Patterns for Texture Classification.
IEEE Signal Process. Lett., 2020

An effective approach to the two-dimensional rectangular packing problem in the manufacturing industry.
Comput. Ind. Eng., 2020

Multi-Resolution Intrinsic Texture Geometry-Based Local Binary Pattern for Texture Classification.
IEEE Access, 2020

2017
A decision support system based on content-based image retrieval for breast cancer diagnosis (Meme kanseri tanısı için içerik tabanlı görüntü erişimine dayanan bir karar destek sistemi)
PhD thesis, 2017

Automated melanoma recognition in dermoscopic images based on extreme learning machine (ELM).
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Principal curvatures based rotation invariant algorithms for efficient texture classification.
Neurocomputing, 2016

Developing a retrieval based diagnostic aid for automated melanoma recognition of dermoscopic images.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2015
Continuous rotation invariant features for gradient-based texture classification.
Comput. Vis. Image Underst., 2015

Classification of breast masses in mammogram images using KNN.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014
A novel texture classification method based on Hessian matrix and principal curvatures.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013
Calculation of melatonin and resveratrol effects on steatosis hepatis using soft computing methods.
Comput. Methods Programs Biomed., 2013

Determining noise performance of co-occurrence GMuLBP on object detection task.
Proceedings of the Sixth International Conference on Machine Vision, 2013


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