İrem İşlek

Istanbul Teknik Üniversitesi

H-index: 5

Asia-Turkey

About İrem İşlek

İrem İşlek, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Istanbul Teknik Üniversitesi, specializes in the field of Machine Learning, Deep Learning, Recommendation Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System

Generating Synthetic Image Segmentation Dataset Using Realistic City Backgrounds

A hierarchical recommendation system for E-commerce using online user reviews

Word-wise Explanation Method For Deep Learning Models Using Character N-gram Input

Proactive Anomaly Detection Using Time Series Data of A Large Scale Platform

İrem İşlek Information

University	Istanbul Teknik Üniversitesi
Position	___
Citations(all)	118
Citations(since 2020)	111
Cited By	35
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	3
i10Index(since 2020)	3
Email	Access Email
University Profile Page	Istanbul Teknik Üniversitesi
Google Scholar	View Google Scholar Profile

İrem İşlek Skills & Research Interests

Machine Learning

Deep Learning

Recommendation Systems

İrem İşlek

Istanbul Teknik Üniversitesi

About İrem İşlek

İrem İşlek Information

İrem İşlek Skills & Research Interests

Top articles of İrem İşlek

Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System

Generating Synthetic Image Segmentation Dataset Using Realistic City Backgrounds

İrem İşlek

Onur Güngör

A hierarchical recommendation system for E-commerce using online user reviews

Word-wise Explanation Method For Deep Learning Models Using Character N-gram Input

İrem İşlek

Onur Güngör

Proactive Anomaly Detection Using Time Series Data of A Large Scale Platform

İrem İşlek

Ertuğ Karamatlı

Co-Authors

Şule Gündüz Öğüdücü

Ertuğ Karamatlı