Derya Soydaner

According to our database, Derya Soydaner authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Have Large Vision-Language Models Mastered Art History?

Ombretta Strafforello, Derya Soydaner, Michiel Willems, Anne-Sofie Maerten, Stefanie De Winter

CoRR, 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

Multi-Task Convolutional Neural Network for Image Aesthetic Assessment.

Derya Soydaner, Johan Wagemans

IEEE Access, 2024

Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks.

Yuyan Zhang, Derya Soydaner, Fatemeh Behrad, Lisa Koßmann, Johan Wagemans

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

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

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Unveiling The Factors of Aesthetic Preferences with Explainable AI.

Derya Soydaner, Johan Wagemans

CoRR, 2023

From paintbrush to pixel: A review of deep neural networks in AI-generated art.

Anne-Sofie Maerten, Derya Soydaner

CoRR, 2023

2022

Attention mechanism in neural networks: where it comes and where it goes.

Derya Soydaner

Neural Comput. Appl., 2022

Application of multilayer perceptron with data augmentation in nuclear physics.

Hüseyin Bahtiyar, Derya Soydaner, Esra Yüksel

Appl. Soft Comput., 2022

2020

Hyper Autoencoders.

Derya Soydaner

Neural Process. Lett., 2020

A Comparison of Optimization Algorithms for Deep Learning.

Derya Soydaner

Int. J. Pattern Recognit. Artif. Intell., 2020

2018

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

Derya Soydaner

PhD thesis, 2018