Derin sinir ağı temelli üst özkodlayıcıların yapay öğrenme yöntemleriyle eğitilmesi (Training deep neural network based hyper autoencoders with machine learning methods) - Derya Soydaner (2018)

A Comparison of Optimization Algorithms for Deep Learning. - Derya Soydaner (Int. J. Pattern Recognit. Artif. Intell., 2020)

Hyper Autoencoders. - Derya Soydaner (Neural Process. Lett., 2020)

Application of multilayer perceptron with data augmentation in nuclear physics. - Hüseyin Bahtiyar; Derya Soydaner; Esra Yüksel (Appl. Soft Comput., 2022)

Attention mechanism in neural networks: where it comes and where it goes. - Derya Soydaner (Neural Comput. Appl., 2022)

From paintbrush to pixel: A review of deep neural networks in AI-generated art. - Anne-Sofie Maerten; Derya Soydaner (CoRR, 2023)

Unveiling The Factors of Aesthetic Preferences with Explainable AI. - Derya Soydaner; Johan Wagemans (CoRR, 2023)

BackFlip: The Impact of Local and Global Data Augmentations on Artistic Image Aesthetic Assessment. - Ombretta Strafforello; Gonzalo Muradas Odriozola; Fatemeh Behrad; Li-Wei Chen; Anne-Sofie Maerten; Derya Soydaner; Johan Wagemans (>ECCV Workshops (6), 2024)

Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks. - Yuyan Zhang; Derya Soydaner; Fatemeh Behrad; Lisa Koßmann; Johan Wagemans (ESANN, 2024)

Multi-Task Convolutional Neural Network for Image Aesthetic Assessment. - Derya Soydaner; Johan Wagemans (IEEE Access, 2024)

Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks. - Yuyan Zhang; Derya Soydaner; Lisa Koßmann; Fatemeh Behrad; Johan Wagemans (CoRR, 2024)

Have Large Vision-Language Models Mastered Art History? - Ombretta Strafforello; Derya Soydaner; Michiel Willems; Anne-Sofie Maerten; Stefanie De Winter (CoRR, 2024)