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Sahin Isik
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2020 – today
- 2024
- [j11]Zuhal Can
, Sahin Isik
CVApool: using null-space of CNN weights for the tooth disease classification. Neural Comput. Appl. 36(26): 16567-16579 (2024) - 2023
- [j10]Zuhal Kurt
Evaluation of EfficientNet models for COVID-19 detection using lung parenchyma. Neural Comput. Appl. 35(16): 12121-12132 (2023) - 2022
- [j9]Sahin Isik
Consensus rule for wheat cultivar classification on VL, VNIR and SWIR imaging. IET Image Process. 16(11): 2834-2844 (2022) - [j8]Yildiray Anagün
Deep Learning-Based Customer Complaint Management. J. Organ. Comput. Electron. Commer. 32(3-4): 217-231 (2022) - [i2]Yildiray Anagün, Sahin Isik:
Nish: A Novel Negative Stimulated Hybrid Activation Function. CoRR abs/2210.09083 (2022) - 2021
- [j7]Semih Ergin, Sahin Isik
Face Recognition by Using 2D Orthogonal Subspace Projections. Traitement du Signal 38(1): 51-60 (2021) - 2020
- [j6]Sahin Isik
Dominant point detection based on suboptimal feature selection methods. Expert Syst. Appl. 161: 113741 (2020)
2010 – 2019
- 2019
- [j5]Sahin Isik
Biometric person authentication framework using polynomial curve fitting-based ECG feature extractio. Turkish J. Electr. Eng. Comput. Sci. 27(5): 3682-3698 (2019) - [j4]Sahin Isik
CVABS: moving object segmentation with common vector approach for videos. IET Comput. Vis. 13(8): 719-729 (2019) - [j3]Yildiray Anagün
SRLibrary: Comparing different loss functions for super-resolution over various convolutional architectures. J. Vis. Commun. Image Represent. 61: 178-187 (2019) - [c12]Sahin Isik
Common Vector Approach Based Image Gradients Computation for Edge Detection. MACIS 2019: 408-421 - 2018
- [b1]Sahin Isik:
New approaches to improve performance of background subtraction (Arka plan çıkarma başarımı iyileştirmek için yeni yaklaşımlar). Anadolu University, Turkey, 2018 - [j2]Sahin Isik
SWCD: a sliding window and self-regulated learning-based background updating method for change detection in videos. J. Electronic Imaging 27(2): 023002 (2018) - [c11]Kemal Özkan, Osman Nuri Atak, Sahin Isik
Using movie posters for prediction of box-office revenue with deep learning approach. SIU 2018: 1-4 - [i1]Sahin Isik, Kemal Özkan, Ömer Nezih Gerek:
CVABS: Moving Object Segmentation with Common Vector Approach for Videos. CoRR abs/1810.08412 (2018) - 2017
- [c10]Hakan Cevikalp, Sahin Isik
ImageHawk search engine: Content based image retrieval system. SIU 2017: 1-4 - [c9]Didem Turker, Recep Sezer, Sahin Isik
Quality measurement of fruits and vegetables with near infrared camera. SIU 2017: 1-4 - 2016
- [j1]Murat Olgun
Wheat grain classification by using dense SIFT features with SVM classifier. Comput. Electron. Agric. 122: 185-190 (2016) - [c8]Kemal Özkan, Sahin Isik
Multispectral image fusion based on the common vector approach. INISTA 2016: 1-6 - [c7]Sahin Isik
Fusion of multispectral images using a new subspace approach. SIU 2016: 381-384 - [c6]Kemal Özkan, Erol Seke, Sahin Isik
A new approach for speech denoising. SIU 2016: 2109-2112 - 2015
- [c5]Kemal Özkan, Sahin Isik
Weighted principal component analysis based edge linking. INISTA 2015: 1-7 - [c4]Kemal Özkan, Sahin Isik
Prediction for the solid waste composition by use of different curve fitting models: A case study. INISTA 2015: 1-6 - [c3]Sahin Isik
Edge linking using angle information. SIU 2015: 423-426 - 2014
- [c2]Semih Ergin, Sahin Isik
The assessment of feature selection methods on agglutinative language for spam email detection: A special case for Turkish. INISTA 2014: 122-125 - [c1]Sahin Isik
A novel multi-scale and multi-expert edge detection method based on common vector approach. SIU 2014: 1630-1633
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last updated on 2024-12-10 20:49 CET by the dblp team
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