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2020 – today
- 2024
[j11]Hüseyin Avni Ardaç
, Pakize Erdogmus:
Question answering system with text mining and deep networks. Evol. Syst. 15(5): 1787-1799 (2024)- [j10]Yasin Ozkan, Pakize Erdogmus:
Evaluation of Classification Performance of New Layered Convolutional Neural Network Architecture on Offline Handwritten Signature Images. Symmetry 16(6): 649 (2024) - 2023
- [j9]Pakize Erdogmus, Abdullah Talha Kabakus:
The promise of convolutional neural networks for the early diagnosis of the Alzheimer's disease. Eng. Appl. Artif. Intell. 123(Part A): 106254 (2023) - 2022
- [j8]Abdullah Talha Kabakus, Pakize Erdogmus:
An experimental comparison of the widely used pre-trained deep neural networks for image classification tasks towards revealing the promise of transfer-learning. Concurr. Comput. Pract. Exp. 34(24) (2022) - 2021
- [j7]Güliz Toz, Pakize Erdogmus:
A Novel Hybrid Image Segmentation Method for Detection of Suspicious Regions in Mammograms Based on Adaptive Multi-Thresholding (HCOW). IEEE Access 9: 85377-85391 (2021) - [j6]Abdullah Talha Kabakus, Pakize Erdogmus:
A novel handwritten Turkish letter recognition model based on convolutional neural network. Concurr. Comput. Pract. Exp. 33(21) (2021)
2010 – 2019
- 2019
- [j5]Güliz Toz, Ibrahim Yücedag, Pakize Erdogmus:
A fuzzy image clustering method based on an improved backtracking search optimization algorithm with an inertia weight parameter. J. King Saud Univ. Comput. Inf. Sci. 31(3): 295-303 (2019) - [d1]Aylin Sevik, Pakize Erdogmus, Erdi Yalçin:
Character Images of Turkish Alphabet Including Different Fonts and Sizes. IEEE DataPort, 2019
- 2018
- [j4]Amira S. Ashour, Yanhui Guo, Enver Küçükkülahli, Pakize Erdogmus, Kemal Polat:
A hybrid dermoscopy images segmentation approach based on neutrosophic clustering and histogram estimation. Appl. Soft Comput. 69: 426-434 (2018) - [j3]Fuat Yuruk, Pakize Erdogmus:
Finding an optimum location for biogas plant: a case study for Duzce, Turkey. Neural Comput. Appl. 29(1): 157-165 (2018) - 2017
- [c5]Enver Küçükkülahli, Pakize Erdogmus, Kemal Polat:
A hybrid approach to image segmentation: Combination of BBO (Biogeography based optimization) and Histogram Based Cluster Estimation. SIU 2017: 1-4 - 2016
- [j2]Enver Küçükkülahli, Pakize Erdogmus, Kemal Polat:
Histogram-based automatic segmentation of images. Neural Comput. Appl. 27(5): 1445-1450 (2016) - [c4]Güliz Toz, Pakize Erdogmus:
g-BSAFCM: A new hybrid clustering algorithm. SIU 2016: 145-148 - [c3]Canan Çelik, Pakize Erdogmus:
A new approach in human retina optic disc segmentation using Graph Cut. SIU 2016: 1517-1520 - 2015
- [j1]Devrim Akgün, Pakize Erdogmus:
GPU accelerated training of image convolution filter weights using genetic algorithms. Appl. Soft Comput. 30: 585-594 (2015) - 2012
- [c2]Zehra Karapinar, Arafat Sentürk, Sultan Zavrak, Resul Kara, Pakize Erdogmus:
Binary apple tree: A game approach to tree traversal algorithms. ITHET 2012: 1-3 - [c1]Zehra Karapinar, Sultan Zavrak, Arafat Sentürk, Resul Kara, Pakize Erdogmus:
A game to test pointers: Path finding. ITHET 2012: 1-3
Coauthor Index
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last updated on 2024-09-10 02:11 CEST by the dblp team
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