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Selim AKYOKUŞ

Selim AKYOKUŞ

Istanbul Medipol Üniversitesi

H-index: 14

Asia-Turkey

About Selim AKYOKUŞ

Selim AKYOKUŞ, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Istanbul Medipol Üniversitesi, specializes in the field of Data science and analytics, Machine learning, Data mining, Web search and text mining, Information retrieval.

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

Sentiment analysis based churn prediction in mobile games using word embedding models and deep learning algorithms

Modeling traders’ behavior with deep learning and machine learning methods: evidence from BIST 100 index

A hybrid deep model using deep learning and dense optical flow approaches for human activity recognition

Selim AKYOKUŞ Information

University

Position

___

Citations(all)

809

Citations(since 2020)

574

Cited By

417

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

20

i10Index(since 2020)

11

Email

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University Profile Page

Istanbul Medipol Üniversitesi

Google Scholar

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Selim AKYOKUŞ Skills & Research Interests

Data science and analytics

Machine learning

Data mining

Web search and text mining

Information retrieval

Top articles of Selim AKYOKUŞ

Title

Journal

Author(s)

Publication Date

Sentiment analysis based churn prediction in mobile games using word embedding models and deep learning algorithms

Zeynep Hilal Kilimci

Hasan Yörük

Selim Akyokus

2020/8/24

Modeling traders’ behavior with deep learning and machine learning methods: evidence from BIST 100 index

Complexity

Afan Hasan

Oya Kalıpsız

Selim Akyokuş

2020/6/29

A hybrid deep model using deep learning and dense optical flow approaches for human activity recognition

IEEE Access

Senem Tanberk

Zeynep Hilal Kilimci

Dilek Bilgin Tükel

Mitat Uysal

Selim Akyokuş

2020/1/22

See List of Professors in Selim AKYOKUŞ University(Istanbul Medipol Üniversitesi)