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Cansu Akyürek Anacur

Observed names: Akyürek Anacur, Cansu, CANSU, AKYÜREK ANACUR, Cansu Akyurek Anacur
ORCID: 0009-0005-8608-7892
Observed ORCID: 0009-0005-8608-7892
OpenAlex ID: A5025080217
Detecting of Warning Sounds in the Traffic using Linear Predictive Coding
2019 · Cansu Akyurek Anacur, Ridvan Saracoglu · International Journal of Intelligent Systems and Applications in Engineering · 5
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Handwriting Analysis for Alzheimer’s Diagnosis: Feature Enrichment and Machine Learning Classification
2024 · Cansu Akyürek Anacur, Asuman Günay Yilmaz, et al. · International Artificial Intelligence and Data Processing Symposium (IDAP) · 4
Exploring Handwriting-Based Biomarkers for Alzheimer’s Disease: Identifying Discriminative Features and Tasks to Enhance Diagnostic Accuracy
2026 · Cansu Akyürek Anacur, Asuman Günay Yılmaz, et al. · Diagnostics · 1
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GF-Net: An Interpretable Gated Fusion Network for Fake News Detection Under a Leakage-Controlled Protocol
2026 · Mehmet Burukanli, Özlem Şeker, et al. · International Artificial Intelligence and Data Processing Symposium (IDAP)
An Imbalance-Aware Nested Cross-Validation Framework for IoT Attack-Family Classification on the Full CICIoT2023 Dataset
2026 · Özlem Şeker, Cansu Akyürek Anacur, et al. · International Artificial Intelligence and Data Processing Symposium (IDAP)
Deep Learning-Based Classification of Handwriting Data: A Multi-Representation Approach For Alzheimer’s Disease
2026 · Cansu Akyürek Anacur, Asuman Günay Yılmaz, et al. · Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
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Exploring Handwriting-Based Biomarkers for Alzheimer's Disease
2026 · CANSU, AKYÜREK ANACUR · Zenodo (CERN European Organization for Nuclear Research)
Attack-Type Performance Analysis of ML-Based Anomaly Detection
2025 · Cansu Akyürek Anacur, Mehtap Ülker, et al. · International Artificial Intelligence and Data Processing Symposium (IDAP)
Comparison of Feature Selection Methods for Detection of Alert Sounds in Traffic
2019 · Akyürek Anacur, Cansu, Saraçoğlu, Rıdvan · Van Yüzüncü Yıl University Academic Data Management System
Works count: 9
Citation count: 10
H-index: 2
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