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ORCIDAhmet Haydar Örnek
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2020 – today
- 2024
[j4]Ahmet Haydar Ornek
, Murat Ceylan:
HayCAMJ: A new method to uncover the importance of main filter for small objects in explainable artificial intelligence. Neural Comput. Appl. 36(18): 10791-10798 (2024)- 2023
- [c5]Ahmet Haydar Ornek, Esmanur Civil, Xiaoluban:
Comparison of Depth Models in Real-World Scenarios: A Case Study. EWDTS 2023: 1-11 - [i2]Enes Sadi Uysal, Deniz Sen, Ahmet Haydar Ornek, Ahmet Emin Yetkin:
Lesion Detection on Leaves using Class Activation Maps. CoRR abs/2306.13366 (2023) - [i1]Ahmet Haydar Ornek, Deniz Sen, Esmanur Civil:
SyncDreamer for 3D Reconstruction of Endangered Animal Species with NeRF and NeuS. CoRR abs/2312.13832 (2023) - 2022
- [j3]Ahmet Haydar Ornek, Murat Ceylan:
Medical thermograms' classification using deep transfer learning models and methods. Multim. Tools Appl. 81(7): 9367-9384 (2022) - 2021
- [j2]Ahmet Haydar Örnek, Murat Ceylan:
Explainable Artificial Intelligence (XAI): Classification of Medical Thermal Images of Neonates Using Class Activation Maps. Traitement du Signal 38(5): 1271-1279 (2021) - 2020
- [j1]Ahmet Haydar Ornek, Saim Ervural, Murat Ceylan, Murat Konak, Hanifi Soylu, Duygu Savasci:
Classification of Medical Thermograms Belonging Neonates by Using Segmentation, Feature Engineering and Machine Learning Algorithms. Traitement du Signal 37(4): 611-617 (2020) - [c4]Ahmet Haydar Örnek, Ahmet Aris, Nima Najaflou, Berk Canberk:
Dynamic Compression Scheduling for Content Delivery Networks. SIU 2020: 1-4 - [c3]Ahmet Haydar Örnek, Murat Ceylan:
Classification of Medical Thermograms using Transfer Learning. SIU 2020: 1-4 - [c2]Ahmet Haydar Örnek, Murat Ceylan:
Explainable Features in Classification of Neonatal Thermograms. SIU 2020: 1-4
2010 – 2019
- 2019
- [c1]Ahmet Haydar Ornek, Murat Ceylan:
Comparison of Traditional Transformations for Data Augmentation in Deep Learning of Medical Thermography. TSP 2019: 191-194
Coauthor Index
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