Author

Seyit Ertuğrul

Observed names: Ertuğrul, Seyit, Seyit ERTUĞRUL, Seyit Ertugrul

Observed institution: MEF University

ORCID: 0000-0003-0828-7336

Observed ORCID: 0000-0003-0828-7336

OpenAlex ID: A5056236010

Unlocking the neural mechanisms of consumer loan evaluations: an fNIRS and ML-based consumer neuroscience study

2024 · Tuna Çakar, Semen Son-Turan, et al. · Frontiers in Human Neuroscience · 9

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GRAFRAUD: Fraud Detection using Graph Databases and Neural Networks

2023 · Alperen Sayar, Şuayip Arslan, et al. · International Informatics and Software Engineering Conference (IISEC) · 6

High-Performance Real-Time Data Processing: Managing Data Using Debezium, Postgres, Kafka, and Redis

2023 · Alperen Sayar, Şuayip Arslan, et al. · Innovations in Intelligent Systems and Applications Conference (ASYU) · 6

Semantic Chunking and Chain-Of-Thought Reasoning for Rag-Based Document Processing

2025 · Yiğit Ateş, Alperen Sayar, et al. · Machine learning for signal processing ... · 4

Segmentation for Factoring Customers: Using Unsupervised Machine Learning Algorithms

2023 · Nur Seher Ayyıldız, Ahmet Akçay, et al. · Innovations in Intelligent Systems and Applications Conference (ASYU) · 4

Understanding the Psychological and Financial Correlates for Consumer Credit Use

2024 · Tuna CAKAR, Türkay ŞAHİN, et al. · Sosyoekonomi · 3

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Emotion Recognition from Speech via the Use of Different Audio Features, Machine Learning and Deep Learning Algorithms

2023 · Alperen Sayar, Tuna Çakar, et al. · AHFE international · 2

Modeling Consumer Creditworthiness via Psychometric Scale and Machine Learning

2022 · Türkay Şahin, Tuna Çakar, et al. · International Conference on Computer Science and Engineering (UBMK) · 2

Graph Theory-Based Fraud Detection in Banking Check Transactions

2025 · Zeynep Behşi, Emir Çetin Memiş, et al. · International Conference on Computer Science and Engineering (UBMK) · 1

Graph-Enhanced Machine Learning for SME Cheque Factoring: Dual Risk-Volume Optimization

2025 · Yiğit Ateş, İbrahim Umut Bozlar, et al. · International Conference on Computer Science and Engineering (UBMK) · 1

Distinguishing Cognitive Processes: A Machine Learning Approach to Decode fNIRS Data for Third- Party Punishment and Credit Decision-Making

2024 · Gözde Filiz, Semen Son, et al. · Signal Processing and Communications Applications Conference (SIU) · 1

Emotional Analysis of Candidates During Online Interviews

2023 · Alperen Sayar, Tuna Çakar, et al. · AHFE international · 1

Underpinnings of Psychological Differences From the Point of Saving Behavior

2022 · Türkay ŞAHİN, Tuna CAKAR, et al. · Kuram ve Uygulamada Sosyal Bilimler Dergisi · 1

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Customer Segmentation and Churn Prediction via Customer Metrics

2022 · Tunahan Bozkan, Tuna Cakar, et al. · Signal Processing and Communications Applications Conference (SIU) · 1

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End-of-Day Forecasting of Financial Transaction Volume via Rule-Based Ensemble Selection

2026 · Ecem Yaşar, Bahar Tüysüz, et al. · Signal Processing and Communications Applications Conference (SIU)

Dynamic Workflow Optimization and Resource Management with Machine Learning

2026 · Görkem Demircan, Alperen Sayar, et al. · Signal Processing and Communications Applications Conference (SIU)

A Two-Stage Case-Based Reasoning Architecture for Factoring Decisions

2026 · Yiğit Ateş, Alperen Sayar, et al. · Signal Processing and Communications Applications Conference (SIU)

Harvesting the Unseen: Reject Inference and Temporal Data Integration in Agricultural Risk Scoring

2026 · İbrahim Umut Bozlar, Alperen Sayar, et al. · Signal Processing and Communications Applications Conference (SIU)

DeepChequeNet: A Hybrid Ensemble for Default Risk Scoring in Cheque Factoring

2026 · İbrahim Umut Bozlar, Alperen Sayar, et al. · Signal Processing and Communications Applications Conference (SIU)

Reward Shaping for DQN in Imbalanced Binary Classification: Evidence from Factoring Data

2026 · Hasan Bedri Taha Kara, Kerem Kaya, et al. · International Conference on Machine Learning Technologies (ICMLT)

Analyzing Check Writer Relationship Networks: Uncovering Circular Fraud Schemes with Graph Neural Networks

2026 · Zeynep Behşi, Kerem Kaya, et al. · International Conference on Machine Learning Technologies (ICMLT)

A Retention-Based Framework for Feature Selection in High-Dimensional Tabular Data

2026 · Hasan Bedri Taha Kara, Kerem Kaya, et al. · International Conference on Machine Learning Technologies (ICMLT)

Bounced Check Risk Prediction via Multi-Objective Hyperparameter Optimization: Balancing Macro F1 and Business Uplift

2026 · Kerem Kaya, Emir Çetin Memiş, et al. · International Symposium on Digital Forensics and Security (ISDFS)

A Comparative Study of Machine Learning Models for Micro-Segment Credit Risk Prediction

2026 · Kerem Kaya, Emir Çetin Memiş, et al. · International Symposium on Digital Forensics and Security (ISDFS)

Daily Transaction Percentage Forecasting in Financial Time Series

2026 · Bahar Tüysüz, İbrahim Umut Bozlar, et al. · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Works count: 42

Citation count: 42

H-index: 4

I10-index: