Yazar "Karadağ, Özge Öztimur" için listeleme
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Empirical evaluation of the effectiveness of variational autoencoders on data augmentation for the image classification problem
In the last decade, deep learning methods have become the key solution for various machine learning problems. One major drawback of deep learning methods is that they require large datasets to have a good generalization ... -
Experimental assessment of the performance of data augmentation with generative adversarial networks in the image classification problem
Karadağ, Özge Öztimur; Erdaş Çiçek, Özlem (Institute of Electrical and Electronics Engineers Inc., 2019)Deep Learning algorithms have almost become a key standard for majority of vision and machine learning problems. Despite its common usage and high performance for many applications, they have certain disadvantages. One ... -
Imitating by generating: Deep generative models for imitation of interactive tasks
Butepage, Judith; Ghadirzadeh, Ali; Karadağ, Özge Öztimur; Bjorkman, Marten; Kragic, Danica (Frontiers Media Sa, 2020)To coordinate actions with an interaction partner requires a constant exchange of sensorimotor signals. Humans acquire these skills in infancy and early childhood mostly by imitation learning and active engagement with a ...
