Browsing by Author "Çakar, Tuna"
Now showing items 1-20 of 40
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Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models
Filiz, Gözde; Nicat, Şahin; Şahin, Türkay; Özvural, Özden Gebizlioğlu; Çakar, Tuna (IEEE, 2023)This study aims to evaluate individuals with limited access to banking services and enhance credit scoring models with alternative data sources. A psychometric-based credit scoring model was developed and tested. Despite ... -
Analyzing consumer behavior: the impact of retro music in advertisements on a chocolate brand and consumer engagement
Filiz, Gözde; Çakar, Tuna; Soyaltın, Tuğçe Ezgi; Girişken, Yener; Türkyılmaz, Ceyda Aysuna (IEEE, 2023)This study presents research utilizing binary classification models to analyze consumer behaviors such as chocolate consumption and retro music ad viewing. Retro music, with its potential to evoke nostalgic feelings in ... -
Boarding pass detection ın social media to prevent flight ınformation thft
Ekici, Hasan Oktay (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)During the past few years, along with social media gaining bigger share on people’s lives, everyone has started to share their moments with detailed information on multiple platforms instantly. Sharing these kinds of ... -
Chuen analysis of Gittigidiyor customers
Kantarcı, Özlem Hazal (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)In this project, it is aimed to estimate the loyalty of the customers of the e-commerce company named GittiGidiyor by analzying the customer movements and examined which movements affected the customer loyalty positively ... -
Classification of Altruistic Punishment Decisions by Optical Neuroimaging and Machine Learning Methods
Çakar, Tuna; Filiz, Gözde; Şahin, Türkay; Akyürek, Güçlü; Erözden, Ozan (IEEE, 2023)Altruistic punishment (third-party punishment) is important in terms of maintaining social norms and promoting prosocial behavior. This study examined data obtained using the near infrared spectroscopy (fNIRS) method to ... -
Classification of skin lesion images with deep learning approaches
Bayram, Buket; Kulavuz, Bahadır; Ertuğrul, Berkay; Bayram, Bülent; Bakırman, Tolga; Çakar, Tuna; Doğan, Metehan (University of Latvia, 2022)Skin cancer is one of the most dangerous cancer types in the world. Like any other cancer type, early detection is the key factor for the patient's recovery. Integration of artificial intelligence with medical image ... -
Comparing audio features for speech emotion recognition using machine learning algorithms
Gümüş, Fatma (2022)Ses, hayatımızın tamamlayıcı bir parçasıdır. Son yıllarda ses teknolojisine olan talep sanat ve insan-makine etkileşimi sistemlerinde artmaktadır. Ses ile daha fazla bilgi daha hızlı bir şekilde aktarılabilmektedir. Konuşma ... -
Consumer neuroscience perspective for brands: how do brands influence our brains?
Çakar, Tuna; Girişken, Yener (IGI Global, 2020)Neuroscientific tools have increasingly been used by marketing practitioners and researchers to understand and explain several different questions that have been issued for a specific company or a general understanding. ... -
Credit risk models using machine learning models
Akman, Özkan (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)Credit scoring is an important subject in financial institutions, mainly in banks. I want to examine some machine learning techniques to find out a model that performs good in predicting or classifying the loaner person a ... -
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 ... -
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 ... -
Detecting the effect of voice-over in tv ads via optic brain imaging (fnirs) and in-depth interview methods
Girisken, Yener; Çakar, Tuna (2016)Voice-overs are used extensively to increase the effectiveness of the TV ads especially in the last decade. The main purpose is to provide the brand message via a clear feature that will inevitably grab the attention of ... -
Differential effect of young adults and students metacognitive skills in mathematics problem solving process
Birgili, Bengi; Can, Rümeysa; Çakar, Tuna; Akar, Hanife (eScholarship, 2023)The purpose of this study is to examine how young adults and pupils use their metacognitive abilities such as cognitive strategies and self-checking during the mathematics problem-solving process. The study group consisted ... -
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 ... -
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 ... -
An exploratory study on the effect of contour types on decision making via optic brain imaging method (fNIRS)
Demircioglu, Esin Tuna; Girişken, Yener; Çakar, Tuna (eScholarship, 2023)Decision-making is a combination of our positive anticipations from the future with the contribution of our past experiences, emotions, and what we perceive at the moment. Therefore, the cues perceived from the environment ... -
Extracting, computing, coordination: what does a triphasic ERP pattern say about language processing?
Cedden, Gülay; Eken, Aykut; Çakar, Tuna (Elsevier, 2021)The current study aims at contributing to the interpretation of the most prominent language-related ERP effects, N400 and P600, by investigating how neural responses to congruent and incongruent sentence endings vary, when ... -
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 ... -
High-performance real-time data processing: managing data using Debezium, Postgres, Kafka, and Redis
Sayar, Alperen; Arslan, Şuayip; Çakar, Tuna; Ertuğrul, Seyit; Akçay, Ahmet (IEEE, 2023)This research focuses on monitoring and transferring logs of operations performed on a relational database, specifically PostgreSQL, in real-time using an event-driven approach. The logs generated from database operations ... -
An investigation of the neural correlates of purchase behavior through fNIRS
Purpose This study aims to explore the plausibility of the functional near-infrared spectroscopy (fNIRS) methodology for neuromarketing applications and develop a neurophysiologically-informed model of purchasing behavior ...
