• Steel Surface Defect Classification Via Deep Learning 

  Tunal Mustafa Mert; Yildiz Ahmet; Çakar Tuna (IEEE, 2022)

  Deep learning and image processing methods have taken place in many parts of our lives, as well as in the quality control stages of production lines. The aim of this study is to train and use a deep learning model to improve ...

• SSQEM: Semi-Supervised Quantum Error Mitigation 

  Sayar, Alperen; Arslan Suayb S.; Çakar Tuna (IEEE, 2022)

  One of the fundamental obstacles for quantum computation (especially in noisy intermediate-scale quantum (NISQ) era) to be a near-term reality is the manufacturing gate/measurement technologies that make the system state ...

• Model for Estimating the Probability of a Customer to Have a Transaction 

  Sayar Alperen; Bozkan Tunahan; Çakar Tuna; Ertugrul Seyit (IEEE, 2022)

  In this study, it is aimed to estimate the probability of a customer who comes to the institution for the first time to make a transaction in the next 3 months, using data-driven machine learning models, in order to provide ...

• Modeling Consumer Creditworthiness via Psychometric Scale and Machine Learning 

  Sahin Türkay; Çakar Tuna; Bozkan Tunahan; Ertugrul Seyit; Sayar Alperen (IEEE, 2022)

  Although the predictive power of economic metrics to detect the creditworthiness of the customers is high, there is a rising interest in the integration of cognitive, psychological, behavioral, alternative, and demographic ...

• Predicting Animal Behaviours: Physical and Behavioural Classification Of Dog Walking Levels 

  Özen Guris; Karan Baris; Çakar Tuna (IEEE, 2022)

  Methods of predicting canine behaviour is an area covered by canine behaviour experts. This study aims to predict the behaviour of dogs during walking based on available information about dogs. In this data-driven project ...

• EAFT: Evolutionary Algorithms for GCC Flag Tuning 

  Tagtekin, Burak; Çakar, Tuna (IEEE, 2022)

  Due to limited resources, some methods come to the fore in finding and applying the factors that affect the working time of the code. The most common one is choosing the correct GCC flags using heuristic algorithms. For ...

• Dog Walker Segmentation 

  Ercan Alperen; Karan Baris; Çakar Tuna (IEEE, 2022)

  In this study dog walkers were separated into clusters according to walkers' walk habits. Due to the fact that the distributions were non-normal, normalization algorithms were applied before the onset of clustering. After ...

• EMG-based BCI for PiCar Mobilization 

  Ertekin Efe; Günden Burak Bahri; Yilmaz Yasin, Sayar Alperen, Çakar Tuna, Arslan Suayb S. (IEEE, 2022)

  In this study, the main scope was to develop a brain-computer interface (BCI) with the use of PiCar and EEG/ERP devices. Thus, it is aimed to facilitate the lives of people with certain diseases and disabilities. The ...

• Face recognition with Local Zernike Moments features around landmarks 

  Gökmen, Muhittin (IEEE, 2016)

  In this paper, a new method that extracts the features from the complex Local Zernike Moments (LZM) images around facial landmarks is proposed. In this method, multiple grids which are in different sizes are located on ...

• fNIRS ve makine öğrenmesi ile beğeni tahmini: Öznitelik indirgeme yöntemlerinin karşılaştırılması 

  Köksal, Mehmet Yiğit; Çakar, Tuna; Tuna, Esin; Girişken, Yener (IEEE, 2022)

  Davranışsal örüntüleri tespit etmede genel olarak kullanılan fMRI yöntemi pahalı ve pratik olmayan özellikleriyle dikkat çekmektedir. Buna karşın yakın kızılötesi spektroskopi (fNIRS) yöntemi daha ucuz ve portatif özelliklere ...

• The use of neurometric and biometric research methods in understanding the user experience during product search of first-time buyers in E-commerce -- Conference Paper 

  Çakar, Tuna; Rızvanoğlu, Kerem; Öztürk, Özgürol; Zengin Çelik, Deniz; Gürvardar, İrfan (Springer, 2017)

  Understanding user experience (UX) during e-commerce has been a relatively important research area especially in the last decade. The use of conventional methods in UX such as task-observation, in-depth interviews and ...

• Customer segmentation and churn prediction via customer metrics 

  Çakar, Tuna; Bozkan, Tunahan; Sayar, Alperen; Ertuğrul, Seyit (IEEE, 2022)

  Bu çalışmada faktoring sektöründe faaliyet gösteren müşterilerin geçmişte yapmış oldukları işlem hareketleri ve sahip oldukları risk, limit ve şirket verileri üzerinden, son işlem tarihlerinden sonra gelecek üç ay içerisinde ...

• Residual data usage in LDPC codes 

  Kaya, Erdi; Pourmandi, Massoud; Haytaoglu, Elif; Arslan, Şuayb Şefik (IEEE, 2022)

  In distributed storage systems/coded caching systems, padding operations should be performed when the encoded data cannot be divided by the number of storage nodes evenly. Thus, extra zero values are stored in one of the ...

• Improved bounds on the moments of guessing cost 

  Arslan, Şuayb Şefik; Haytaoğlu, Elif (IEEE, 2022)

  Guessing a random variable with finite or countably infinite support in which each selection leads to a positive cost value has recently been studied within the context of "guessing cost". In those studies, similar to ...

• Base Station-Assisted Cooperative Network Coding for Cellular Systems with Link Constraints 

  Arslan, Şuayb Şefik; Pourmandi, Massoud; Haytaoğlu, Elif (IEEE, 2022)

  We consider a novel distributed data storage/caching scenario in a cellular network, where multiple nodes may fail/depart simultaneously To meet reliability, we allow cooperative regeneration of lost nodes with the help ...

• Curvature effect on aesthetic perception 

  Demircioğlu, Tuna Esin; Çakar, Tuna; Girişken, Yener (Cognitive Science Society, 2022)

  Aesthetic perception is an inseparable part of the decision-making process in daily life. It also is an important partof the beauty and therefore tastes. The determination of preferences is directly related to the subregions ...

• The neural correlates of the effect of belief in free will on third-party punishment: An optical brain imaging (fNIRS) study 

  Çakar, Tuna; Akyürek, Güçlü; Erözden, Ozan; Şahin, Türkay; Keskin, İrem Nur; Ünlü, Meryem; Özen, Deniz Hazal; Özen, Zeynep (Cognitive Science Society, 2022)

  Third party punishment (TPP), or altruistic punishment, is specifically human prosocial behavior. TPP denotes the administration of a sanction to a transgressor by an individual that is not affected by the transgression. ...

• Data repair in BS-assisted distributed data caching 

  Kaya, Erdi; Haytaoğlu, Elif; Arslan, Şuayb Şefik (IEEE, 2020)

  In this paper, centralized and independent repair approaches based on device-to-device communication for the repair of the lost nodes have been investigated in a cellular network where distributed caching is applied whose ...

• TurCoins: Turkish republic coin dataset 

  Temiz, Hüseyin; Gökberk, Berk; Akarun, Lale (IEEE, 2021)

  In this paper, we present a novel and comprehensive dataset which contains Turkish Republic coins minted since 1924 and present a deep learning based system that can automatically classify coins. The proposed dataset ...

• Adaptive boosting of DNN ensembles for brain-computer interface spellers 

  Güney, Osman Berke; Koç, Emirhan; Aksoy, Can; Çatak, Yiğit; Arslan, Şuayb Şefik; Özkan, Hüseyin (IEEE, 2021)

  Steady-state visual evoked potentials (SSVEP) are commonly used in brain computer interface (BCI) applications such as spelling systems, due to their advantages over other paradigms. In this study, we develop a method for ...

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