Comparison of Traditional Transformations for Data Augmentation in Deep Learning of Medical Thermography. - Ahmet Haydar Ornek; Murat Ceylan (TSP, 2019)

Dynamic Compression Scheduling for Content Delivery Networks. - Ahmet Haydar Örnek; Ahmet Aris; Nima Najaflou; Berk Canberk (SIU, 2020)

Classification of Medical Thermograms using Transfer Learning. - Ahmet Haydar Örnek; Murat Ceylan (SIU, 2020)

Explainable Features in Classification of Neonatal Thermograms. - Ahmet Haydar Örnek; Murat Ceylan (SIU, 2020)

Classification of Medical Thermograms Belonging Neonates by Using Segmentation, Feature Engineering and Machine Learning Algorithms. - Ahmet Haydar Ornek; Saim Ervural; Murat Ceylan; Murat Konak; Hanifi Soylu; Duygu Savasci (Traitement du Signal, 2020)

Explainable Artificial Intelligence (XAI): Classification of Medical Thermal Images of Neonates Using Class Activation Maps. - Ahmet Haydar Örnek; Murat Ceylan (Traitement du Signal, 2021)

Medical thermograms' classification using deep transfer learning models and methods. - Ahmet Haydar Ornek; Murat Ceylan (Multim. Tools Appl., 2022)

Comparison of Depth Models in Real-World Scenarios: A Case Study. - Ahmet Haydar Ornek; Esmanur Civil; Xiaoluban (EWDTS, 2023)

Lesion Detection on Leaves using Class Activation Maps. - Enes Sadi Uysal; Deniz Sen; Ahmet Haydar Ornek; Ahmet Emin Yetkin (CoRR, 2023)

SyncDreamer for 3D Reconstruction of Endangered Animal Species with NeRF and NeuS. - Ahmet Haydar Ornek; Deniz Sen; Esmanur Civil (CoRR, 2023)

HayCAMJ: A new method to uncover the importance of main filter for small objects in explainable artificial intelligence. - Ahmet Haydar Ornek; Murat Ceylan (Neural Comput. Appl., 2024)