Hamidullah Binol

Hamidullah Binol, Mehmet Fatih Korkmaz, Sevcan Aytaç Korkmaz, 2017, 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY).

Time Optimal Multi-UAV Path Planning for Gathering its Data from Roadside Units

Ismail Güvenç, Kemal Akkaya, Eyuphan Bulut, 2018, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall).

Target oriented dimensionality reduction of hyperspectral data by Kernel Fukunaga–Koontz Transform

Mohammad S. Alam, Abdullah Bal, Hamidullah Binol, 2017 .

Improving SVDD classification performance on hyperspectral images via correlation based ensemble technique

Abdullah Bal, Hamidullah Binol, Mustafa Ilarslan, 2017 .

Moving Target Tracking in Infrared Image Sequences Based on Differential Kernel Covariance Descriptor

Huseyin Cukur, Hamidullah Binol, Burak Alpteki̇n, 2016 .

Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet

Ismail Güvenç, Kemal Akkaya, Hamidullah Binol, 2019, 2019 IEEE Radio and Wireless Symposium (RWS).

Food inspection using hyperspectral imaging and SVDD

Abdullah Bal, Hamidullah Binol, Faruk Sukru Uslu, 2016, SPIE Commercial + Scientific Sensing and Imaging.

A supervised discriminant subspaces-based ensemble learning for binary classification

Abdullah Bal, Huseyin Cukur, Hamidullah Binol, 2016 .

Differential evolution algorithm-based kernel parameter selection for Fukunaga-Koontz Transform subspaces construction

Abdullah Bal, Huseyin Cukur, Hamidullah Binol, 2015, SPIE Remote Sensing.

New methods based on mRMR_LSSVM and mRMR_KNN for diagnosis of breast cancer from microscopic and mammography images of some patients

Abdullah Bal, Hamidullah Binol, Sevcan Aytac Korkmaz, 2015 .

Covariance descriptor fusion for target detection

Abdullah Bal, Huseyin Cukur, Hamidullah Binol, 2016, Defense + Security.

An effective band selection approach for classification in remote sensing imagery

Abdullah Bal, Huseyin Cukur, Hamidullah Binol, 2015, SPIE Remote Sensing.

SelectStitch: Automated Frame Segmentation and Stitching to Create Composite Images from Otoscope Video Clips

Jay Shah, Hamidullah Binol, Aaron C. Moberly, 2020 .

A expert system for stomach cancer images with artificial neural network by using HOG features and linear discriminant analysis: HOG_LDA_ANN

Hamidullah Binol, Mehmet Fatih Korkmaz, Sevcan Aytaç Korkmaz, 2017, 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY).

Classification on hyperspectral images using enhanced covariance descriptor

Abdullah Bal, Semih Dinç, Hamidullah Binol, 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).

An efficient classifier design for remote sensing hyperspectral imagery

Abdullah Bal, Hamidullah Binol, Faruk Sukru Uslu, 2015, 2015 7th International Conference on Recent Advances in Space Technologies (RAST).

A heuristic-based band selection approach to improve classification accuracy in hyperspectral images

Abdullah Bal, Huseyin Cukur, Hamidullah Binol, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

Cross correlation based clustering for feature selection in hyperspectral imagery

Abdullah Bal, Huseyin Cukur, Hamidullah Binol, 2015, 2015 9th International Conference on Electrical and Electronics Engineering (ELECO).

Automated video summarization and label assignment for otoscopy videos using deep learning and natural language processing

Hamidullah Binol, Aaron C. Moberly, Charles Elmaraghy, 2021, Medical Imaging.

Classification of molecular structure images by using ANN, RF, LBP, HOG, and size reduction methods for early stomach cancer detection

Hamidullah Binol, Sevcan Aytac Korkmaz, H. Binol, 2018 .

Ros‐NET: A deep convolutional neural network for automatic identification of rosacea lesions

Hamidullah Binol, Metin N Gurcan, Muhammad Khalid Khan Niazi, 2019, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.