İlkay Ulusoy

Department of Electrical and Electronics Engineering
Scopus Author ID
A practical analysis of sample complexity for structure learning of discrete dynamic Bayesian networks
Geduk, Salih; Ulusoy, İlkay (2021-02-01)
Discrete Dynamic Bayesian Network (dDBN) is used in many challenging causal modelling applications, such as human brain connectivity, due to its multivariate, non-deterministic, and nonlinear capability. Since there is not...
KCl-induced cortical spreading depression waves more heterogeneously propagate than optogenetically-induced waves in lissencephalic brain: an analysis with optical flow tools
Donmez-Demir, Buket; ERDENER, ŞEFİK EVREN; KARATAŞ KURŞUN, HÜLYA; Kaya, Zeynep; Ulusoy, İlkay; DALKARA, TURGAY (Springer Science and Business Media LLC, 2020-07-01)
Although cortical spreading depolarizations (CSD) were originally assumed to be homogeneously and concentrically propagating waves, evidence obtained first in gyrencephalic brains and later in lissencephalic brains suggest...
Surface Vessel Tracking in Airborne Infrared Imagery
Cakiroglu, Ahmet; Ulusoy, İlkay (2019-01-01)
Visual target tracking has been studied for decades and still remains a challenging problem. Ship tracking on infrared images has numerous challenges compared to conventional target tracking such as fast changing of appear...
Classification of fNIRS Data Using Deep Learning for Bipolar Disorder Detection
Evgin, Haluk Barkin; Babacan, Oguzhan; Ulusoy, İlkay; Hosgoren, Yasemin; Kusman, Adnan; Sayar, Damla; Baskak, Bora; Ozguven, Halise Devrimci (2019-01-01)
With the use of ecologically validated tools more applicable measurements can be obtained, especially of individuals who have psychological disorders. Functional Near-Infrared Spectroscopy (fNIRS) is a neural imaging metho...
Satellite Failure Estimation vs. Reliability Prediction Analysis
Gures, Seda Demirbas; Ulusoy, İlkay; Durmaz, Burak (2019-01-01)
The satellite technology has been attracting the attention of governments and companies with increasing areas of application. For any of these application areas, reliable and rugged design of satellite is essential. In cas...
Retinal vessel segmentation using convolutional neural networks
Ulusoy, İlkay; Güleryüz, Mehmet Şefik (2018-05-05)
Retinal vessel segmentation and extracting features such as tortuosity, width, length related to those vessels can be used in diagnosis, treatment and screening of many diseases such as retinopathy of prematurity, hyperten...
User comfort and energy efficiency in HVAC systems by Q-learning
Ulusoy, İlkay; Baghaee, Sajjad (2018-05-05)
This study focuses on applying Q-learning techniques for an HVAC agent where the agent learns to find the optimal sequence of ventilator rate variations to satisfy user comfort and energy efficiency simultaneously. On-Off ...
Effective connectivity modeling of human brain
Ulusoy, İlkay (null; 2017-11-25)
Three different connectivity models, namely structural (anatomical links), functional (statistical dependencies), and effective (causal interactions) have been introduced to examine the interactions between differ...
A comparative stationarity analysis of EEG signals
RASOULZADEH, VESAL; Erkuş, Ekin Can; Yoğurt, Taha Alper; Ulusoy, İlkay; Zergeroglu, S. Aykan (2017-11-01)
While developing models of brain functioning by using time series data, the stationary interval of the time series should be used to model the corresponding state of the brain. Here it is assumed that at the borders of sta...
Target detection in hyperspectral images using basic thresholding classifier
TOKSÖZ, Mehmet Altan; Ulusoy, İlkay (2017-05-18)
In this letter, we propose target detector version of recently introduced basic thresholding classifier for hyperspectral images. The proposed technique is a sparsity-based low complexity detector which achieves high detec...
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