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ORCIDTuna Çakar
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2020 – today
- 2024
[c26]Nurgül Bulut, Tuna Çakar, Ilker Arslan, Zeynep Karaoglu Akinci, Kevser Setenay Öner:
Determination of Alzheimer's Disease Levels by Ordinal Logistic Regression and Artificial Learning Algorithms. SIU 2024: 1-4- [c25]Tuna Çakar, Yener Girisken, Esin Tuna, Gözde Filiz, Yassine Drias:
Neural Decoding of Brand Perception and Preferences: Understanding Consumer Behavior through fNIRS and Machine Learning. SIU 2024: 1-4 - [c24]Tuna Çakar, Annette Hohenberger:
Evaluating Electrophysiological Responses due to Identity Judgments. SIU 2024: 1-4 - [c23]Gözde Filiz, Nilay Arman, Nuray Aktay Ayaz, Asena Yekdaneh, Asya Albayrak, Tunahan Bozkan, Tuna Çakar:
Physical Activity Monitoring with Smartwatch Technology in Adolescents and Obtaining Big Data: Preliminary Findings. SIU 2024: 1-4 - [c22]Gözde Filiz, Tolga Bodur, Nihal Yaslidag, Alperen Sayar, Tuna Çakar:
Predicting Credit Repayment Capacity with Machine Learning Models. SIU 2024: 1-4 - [c21]Gözde Filiz, Semen Son, Alperen Sayar, Seyit Ertugrul, Türkay Sahin, Güçlü Akyürek, Ozan Erözden, Yener Girisken, Tuna Çakar:
Distinguishing Cognitive Processes: A Machine Learning Approach to Decode fNIRS Data for Third- Party Punishment and Credit Decision-Making. SIU 2024: 1-4 - [c20]Sahin Nicat, Gözde Filiz, Özden Gebizlioglu Özvural, Tuna Çakar:
Reliability Study of Psychometric Tests in a Credit Scoring Model. SIU 2024: 1-4 - [c19]Burak Tagtekin, Zeynep Sahin, Tuna Çakar, Yassine Drias:
The Application of Two Bayesian Personalized Ranking Approaches based on Item Recommendation from Implicit Feedback. SIU 2024: 1-4 - [c18]Elif Yilmaz, Ümit Islak, Tuna Çakar, Ilker Arslan:
Feature enrichment via similar trajectories for XGBoost based time series forecasting. SIU 2024: 1-4 - 2023
- [j3]Mehmet Yagan, Serkan Musellim, Suayb S. Arslan
, Tuna Çakar, Nihan Alp, Huseyin Ozkan:
A new benchmark dataset for P300 ERP-based BCI applications. Digit. Signal Process. 135: 103950 (2023) - [c17]Bengi Birgili, Rumeysa Can, Tuna Çakar, Hanife Akar:
Differential Effect of Young Adults' and Students' MetaCognitive Skills in Mathematics Problem Solving Process. CogSci 2023 - [c16]Esin Tuna Demircioglu, Yener Girisken, Tuna Çakar:
An Exploratory Study on the Effect of Contour Types on Decision Making via Optic Brain Imaging Method (fNIRS). CogSci 2023 - [c15]Tunahan Bozkan, Alperen Sayar, Seyit Ertugrul, Tuna Çakar, Ahmet Akçay:
Transaction Volume Estimation in Financial Markets with LSTM. SIU 2023: 1-4 - [c14]Tuna Çakar, Gözde Filiz, Türkay Sahin, Güçlü Akyürek, Ozan Erözden:
Classification of Altruistic Punishment Decisions by Optical Neuroimaging and Machine Learning Methods. SIU 2023: 1-4 - [c13]Tuna Çakar, Annette Hohenberger:
Neural Correlates of Identity Judgments in the Prefrontal Cortex: An Optical Brain Imaging (fNIRS) Study. SIU 2023: 1-4 - [c12]Tuna Çakar, Semen Son, Alperen Sayar, Yener Girisken, Seyit Ertugrul:
Prediction of Loan Decisions with Optical Neuroimaging (fNIRS) and Machine Learning. SIU 2023: 1-4 - [c11]Gözde Filiz, Sahin Nicat, Türkay Sahin, Özden Gebizlioglu Özvural, Tuna Çakar:
Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models. SIU 2023: 1-4 - [c10]Suat Tuncer, Tuna Çakar, Ersan Kayan:
Noise Effect on Forecasting. SIU 2023: 1-4 - 2022
- [j2]Buket Bayram, Bahadir Kulavuz, Berkay Ertugrul, Bulent Bayram, Tolga Bakirman, Tuna Çakar, Metehan Dogan:
Classification of Skin Lesion Images with Deep Learning Approaches. Balt. J. Mod. Comput. 10(2) (2022) - [c9]Tuna Çakar:
The Neural Correlates of the Effect of Belief in Free Will on Third-Party Punishment: An Optical Brain Imaging (fNIRS) Study. CogSci 2022 - [c8]Esin Tuna Demircioglu, Tuna Çakar, Yener Girisken:
Curvature Effect on Aesthetic perception. CogSci 2022 - [c7]Tunahan Bozkan, Tuna Çakar, Alperen Sayar, Seyit Ertugrul:
Customer Segmentation and Churn Prediction via Customer Metrics. SIU 2022: 1-4 - [c6]Alperen Ercan, Baris Karan, Tuna Çakar:
Köpek Gezdirici Segmentasyonu Dog Walker Segmentation. SIU 2022: 1-4 - [c5]Mehmet Yigit Köksal, Tuna Çakar, Esin Tuna, Yener Girisken:
Liking Prediction Using fNIRS and Machine Learning: Comparison of Feature Extraction Methods. SIU 2022: 1-4 - [c4]Guris Özen, Baris Karan, Tuna Çakar:
Predicting Animal Behaviours: Physical and Behavioural Classification Of Dog Walking Levels. SIU 2022: 1-4
2010 – 2019
- 2017
- [c3]Tuna Çakar, Kerem Rizvanoglu, Özgürol Öztürk, Deniz Zengin Çelik, Irfan Gürvardar:
The Use of Neurometric and Biometric Research Methods in Understanding the User Experience During Product Search of First-Time Buyers in E-Commerce. HCI (18) 2017: 342-362 - 2016
- [c2]Murat Perit Çakir, Tuna Çakar, Yener Girisken, Ari K. Demircioglu:
Neural Correlates of Purchasing Decisions in an Ecologically Plausible Shopping Scenario with Mobile fNIR Technology. HCI (13) 2016: 135-146 - 2015
- [j1]Yesim Isil Ulman, Tuna Cakar, Gokcen Yildiz:
Ethical Issues in Neuromarketing: "I Consume, Therefore I am!". Sci. Eng. Ethics 21(5): 1271-1284 (2015) - [c1]Murat Perit Çakir, Tuna Cakar, Yener Girisken:
Neural Correlates of Purchasing Behavior in the Prefrontal Cortex: An Optical Brain Imaging Study. CogSci 2015
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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