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Irem Islek
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Journal Articles
- 2022
- [j1]Irem Islek, Sule Gündüz Ögüdücü:
A hierarchical recommendation system for E-commerce using online user reviews. Electron. Commer. Res. Appl. 52: 101131 (2022)
Conference and Workshop Papers
- 2024
- [c11]Irem Islek, Çagla Çlg Karaman:
Panorama Inspector: A Novel Methodology for Automated Error Detection in Stitched Images. ICIT 2024: 1-6 - [c10]Serkan Uysal, Irem Islek, Çagla Çig Karaman:
Vehicle Direction Classification System. SIU 2024: 1-4 - 2022
- [c9]Irem Islek, N. Deniz Aksayli, Onur Güngör, Çagla Çig Karaman:
Generating Synthetic Image Segmentation Dataset Using Realistic City Backgrounds. SIU 2022: 1-4 - 2021
- [c8]N. Deniz Aksayli, Irem Islek, Çagla Çig Karaman, Onur Güngör:
Word-wise Explanation Method For Deep Learning Models Using Character N-gram Input. SIU 2021: 1-4 - 2020
- [c7]Irem Islek, Sule Gündüz Ögüdücü:
A Hybrid Recommendation System Based on Bidirectional Encoder Representations. PKDD/ECML Workshops 2020: 225-236 - [c6]Irem Islek, N. Deniz Aksayli, Ertug Karamatli:
Proactive Anomaly Detection Using Time Series Data of A Large Scale Platform. SIU 2020: 1-4 - 2018
- [c5]Irem Islek, Sule Gündüz Ögüdücü:
Use of LSTM for Short-Term and Long-Term Travel Time Prediction. CIKM Workshops 2018 - [c4]Irem Islek, Ertug Karamatli, Ali Taylan Cemgil:
Large scale ad click prediction system. SIU 2018: 1-4 - 2017
- [c3]Irem Islek, Sule Gündüz Ögüdücü:
A Decision Support System for Demand Forecasting based on Classifier Ensemble. FedCSIS (Communication Papers) 2017: 35-41 - [c2]Irem Islek, Idris Murat Atakli, Sule Gündüz Ögüdücü:
A Framework for Business Failure Prediction. ICAISC (2) 2017: 74-83 - 2015
- [c1]Irem Islek, Sule Gündüz Ögüdücü:
A retail demand forecasting model based on data mining techniques. ISIE 2015: 55-60
Informal and Other Publications
- 2024
- [i1]Irem Islek, Sule Gündüz Ögüdücü:
Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System. CoRR abs/2403.12096 (2024)
Coauthor Index
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