4 papers
Channel-Attentive Graph Neural Networks
Tuğrul Hasan Karabulut, İnci M. Baytaş
Graph Neural Networks (GNNs) set the state-of-the-art in representation learning for graph-structured data. They are used in many domains, from online social networks to complex mo…
Image Classification on Accelerated Neural Networks
Ilkay Sikdokur, Inci Baytas, Arda Yurdakul
For image classification problems, various neural network models are commonly used due to their success in yielding high accuracies. Convolutional Neural Network (CNN) is one of th…
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations
Inci M. Baytas, Debayan Deb
Upon the discovery of adversarial attacks, robust models have become obligatory for deep learning-based systems. Adversarial training with first-order attacks has been one of the m…
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases
Mengying Sun, Inci M. Baytas, Liang Zhan +2
Over the past decade a wide spectrum of machine learning models have been developed to model the neurodegenerative diseases, associating biomarkers, especially non-intrusive neuroi…