Gökhan Bilgin - Citegraph

Author Info

Name	Affiliation	Papers
GÖKHAN BILGIN	Department of Computer Engineering, Yildiz Technical University, Istanbul, Turkey	34
Collaborators	Citations	PageRank
42	62	13.18
Referers	Referees	References
189	640	291

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100640

Publications (34 rows)

Collaborators (42 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Semi-supervised sparse representation classifier (S3RC) with deep features on small sample sized hyperspectral images	0	0.34	2020
MCK-ELM: multiple composite kernel extreme learning machine for hyperspectral images	0	0.34	2020
Music Genre Classification via Sequential Wavelet Scattering Feature Learning	0	0.34	2019
HCKBoost: Hybridized composite kernel boosting with extreme learning machines for hyperspectral image classification.	1	0.35	2019
Semisupervised Hyperspectral Image Classification Using Deep Features	1	0.35	2019
Automatic cell segmentation in histopathological images via two-staged superpixel-based algorithms.	3	0.40	2019
Classification of hyperspectral images with multiple kernel extreme learning machine.	0	0.34	2018
Textural feature extraction and ensemble of extreme learning machines for hyperspectral image classification.	0	0.34	2018
A Whole-Slide Image Grading Benchmark And Tissue Classification For Cervical Cancer Precursor Lesions With Inter-Observer Variability	0	0.34	2018
Comparing the classification performances of supervised classifiers with balanced and imbalanced SAR data sets.	0	0.34	2018
Kernel extreme learning machines for PolSAR image classification using spatial features.	0	0.34	2018
Classification of tumor regions in histopathological images using convolutional neural networks.	0	0.34	2018
Semisupervised Hyperspectral Image Classification Using Small Sample Sizes	4	0.38	2017
Detection of mitotic cells in multispectral histopathological images.	0	0.34	2017
Land use and cover classification of Sentinel-IA SAR imagery: A case study of Istanbul.	0	0.34	2017
Segmentation of precursor lesions in cervical cancer using convolutional neural networks.	1	0.36	2017
Cell segmentation in histopathological images with deep learning algorithms by utilizing spatial relationships.	9	0.69	2017
Combining Landsat and ALOS data for land cover mapping.	0	0.34	2017
Hyperspectral image classification with hybrid kernel extreme learning machine.	2	0.36	2017
Hyperspectral image classification using fuzzy C-means based composite kernel approach.	0	0.34	2017
Graph-based semi-supervised learning with GPU on small sample sized hyperspectral images.	0	0.34	2017
Superpixel approach in high resolution histopathological image segmentation.	0	0.34	2017
Comparative analysis of codeword representation by clustering methods for the classification of histological tissue types	0	0.34	2015
Kernel Fukunaga–Koontz Transform Subspaces for Classification of Hyperspectral Images With Small Sample Sizes	2	0.39	2015
Fusion and classification of synthetic aparture radar and multispectral sattellite data	0	0.34	2014
Detection of Churned and Retained Users with Machine Learning Methods for Mobile Applications	1	0.35	2014
Hyperspectral image segmentation using the Dirichlet mixture models	0	0.34	2014
Segmentation of hyperspectral images using local covariance matrices in eigenspace	0	0.34	2013
A new framework for increasing user engagement in mobile applications using machine learning techniques	2	0.39	2013
Multiscale local covariance based feature extraction for segmantation of hyperspectral images	0	0.34	2013
Segmentation of hyperspectral images using local covariance matrices	0	0.34	2012
Segmentation of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines.	17	0.70	2011
Unsupervised Classification of Hyperspectral-Image Data Using Fuzzy Approaches That Spatially Exploit Membership Relations	19	1.00	2008
Cardiac problem diagnosis using SPECT images with statistical neural networks	0	0.34	2006