A comparative evaluation of well-known feature detectors and descriptors Ş Işık International Journal of Applied Mathematics Electronics and Computers 3 (1 …, 2014 | 107 | 2014 |
Wheat grain classification by using dense SIFT features with SVM classifier M Olgun, AO Onarcan, K Özkan, Ş Işik, O Sezer, K Özgişi, NG Ayter, ... Computers and Electronics in Agriculture 122, 185-190, 2016 | 104 | 2016 |
A new classification scheme of plastic wastes based upon recycling labels K Özkan, S Ergin, Ş Işık, İ Işıklı Waste Management 35, 29-35, 2015 | 81 | 2015 |
SWCD: a sliding window and self-regulated learning-based background updating method for change detection in videos Ş Işık, K Özkan, S Günal, ÖN Gerek Journal of Electronic Imaging 27 (2), 023002-023002, 2018 | 76 | 2018 |
SRLibrary: Comparing different loss functions for super-resolution over various convolutional architectures Y Anagun, S Isik, E Seke Journal of Visual Communication and Image Representation 61, 178-187, 2019 | 54 | 2019 |
Identification of wheat kernels by fusion of RGB, SWIR, and VNIR samples K Özkan, Ş Işık, BT Yavuz Journal of the Science of Food and Agriculture 99 (11), 4977-4984, 2019 | 26 | 2019 |
A heating value estimation of refuse derived fuel using the genetic programming model K Özkan, Ş Işık, Z Günkaya, A Özkan, M Banar Waste Management 100, 327-335, 2019 | 15 | 2019 |
Evaluation of convolutional neural network features for malware detection K Özkan, Ş Işık, Y Kartal 2018 6th International Symposium on Digital Forensic and Security (ISDFS), 1-5, 2018 | 15 | 2018 |
A novel multi-scale and multi-expert edge detector based on common vector approach K Özkan, Ş Işık AEU-International Journal of Electronics and Communications 69 (9), 1272-1281, 2015 | 15 | 2015 |
Evaluation of EfficientNet models for COVID-19 detection using lung parenchyma Z Kurt, Ş Işık, Z Kaya, Y Anagün, N Koca, S Çiçek Neural computing and applications 35 (16), 12121-12132, 2023 | 13 | 2023 |
CVABS: moving object segmentation with common vector approach for videos Ş Işık, K Özkan, Ö Nezih Gerek IET Computer Vision 13 (8), 719-729, 2019 | 13 | 2019 |
Biometric person authentication framework using polynomial curve fitting-based ECG feature extraction Ş Isik, K Ozkan, S Ergin TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 27 (5), 2019 | 13 | 2019 |
The assessment of feature selection methods on agglutinative language for spam email detection: A special case for Turkish S Ergin, S Isik 2014 IEEE International Symposium on Innovations in Intelligent Systems and …, 2014 | 12 | 2014 |
Recurrent neural networks for spam e-mail classification on an agglutinative language Ş IŞIK, Z Kurt, Y Anagun, K ÖZKAN International Journal of Intelligent Systems and Applications in Engineering …, 2020 | 10 | 2020 |
Face Recognition by Using 2D Orthogonal Subspace Projections. S Ergin, S Isik, MB Gulmezoglu Traitement du Signal 38 (1), 2021 | 8 | 2021 |
The classification of wheat species based on deep convolutional neural networks using scanning electron microscope (SEM) imaging Y Anagun, S Isik, M Olgun, O Sezer, ZB Basciftci, NGA Arpacioglu European Food Research and Technology 249 (4), 1023-1034, 2023 | 7 | 2023 |
Prediction for the solid waste composition by use of different curve fitting models: A case study K Özkan, Ş Işik, A Özkan, M Banar 2015 International Symposium on Innovations in Intelligent SysTems and …, 2015 | 7 | 2015 |
Using deep learning approaches for coloring silicone maxillofacial prostheses: A comparison of two approaches M Kurt, Z Kurt, Ş Işık The Journal of Indian Prosthodontic Society 23 (1), 84-89, 2023 | 6 | 2023 |
Wheat kernels classification using visible-near infrared camera based on deep learning K Özkan, E Seke, Ş Işık Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 27 (5), 618-626, 2021 | 5 | 2021 |
Overview of handcrafted features and deep learning models for leaf recognition Ş IŞIK, K Özkan Journal of Engineering Research 9 (1), 2021 | 5 | 2021 |