34 citations · 58 across the 10 of their papers we have counts for
3 papers · 1 filter
Modelling the Human Intuition to Complete the Missing Information in Images for Convolutional Neural Networks
Robin Koç, Fatoş T. Yarman Vural
In this study, we attempt to model intuition and incorporate this formalism to improve the performance of the Convolutional Neural Networks. Despite decades of research, ambiguitie…
Modeling Brain Networks with Artificial Neural Networks
Baran Baris Kivilcim, Itir Onal Ertugrul, Fatos T. Yarman Vural
In this study, we propose a neural network approach to capture the functional connectivities among anatomic brain regions. The suggested approach estimates a set of brain networks,…
Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification
Itir Onal Ertugrul, Mete Ozay, Fatos T. Yarman Vural
In this work, we propose a novel framework to encode the local connectivity patterns of brain, using Fisher Vectors (FV), Vector of Locally Aggregated Descriptors (VLAD) and Bag-of…