2 citations · 2 across the 2 of their papers we have counts for
7 papers
Just Noticeable Difference for Machines to Generate Adversarial Images
Adil Kaan Akan, Mehmet Ali Genc, Fatos T. Yarman Vural
One way of designing a robust machine learning algorithm is to generate authentic adversarial images which can trick the algorithms as much as possible. In this study, we propose a…
On the Brain Networks of Complex Problem Solving
Abdullah Alchihabi, Omer Ekmekci, Baran B. Kivilcim +2
Complex problem solving is a high level cognitive process which has been thoroughly studied over the last decade. The Tower of London (TOL) is a task that has been widely used to s…
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 Multi-Resolution Brain Networks Using Unsupervised Deep Learning
Arash Rahnama, Abdullah Alchihabi, Vijay Gupta +2
The main goal of this study is to extract a set of brain networks in multiple time-resolutions to analyze the connectivity patterns among the anatomic regions for a given cognitive…
Energy Saving Additive Neural Network
Arman Afrasiyabi, Ozan Yildiz, Baris Nasir +2
In recent years, machine learning techniques based on neural networks for mobile computing become increasingly popular. Classical multi-layer neural networks require matrix multipl…
Zero-Resource Translation with Multi-Lingual Neural Machine Translation
Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan +2
In this paper, we propose a novel finetuning algorithm for the recently introduced multi-way, mulitlingual neural machine translate that enables zero-resource machine translation.…