Recep Erol Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Little Rock

faculty

4 h-index 12 pubs 54 cited

Research Areas

Advanced Neural Network Applications Natural Language Processing Techniques Media Studies and Communication Decision-Making and Behavioral Economics Topic Modeling Misinformation and Its Impacts Complex Network Analysis Techniques

Links

Research Group

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OverviewAI-generated summary

Recep Erol's research focuses on the application of artificial intelligence and machine learning techniques to analyze complex datasets. His work includes developing and evaluating predictive models for social phenomena, such as refugee counts, and analyzing online influence campaigns using tools like YouTubeTracker. Erol has also investigated the performance of convolutional neural networks, incorporating explainable AI methods to understand model behavior post-compression. His research network includes collaborators from the University of Arkansas at Little Rock, such as Mariofanna Milanova, Nitin Agarwal, and Thomas Marcoux, as well as Esther Mead from Southern Arkansas University. Erol has a publication record of 12 works, with an h-index of 4 and 54 citations.

Metrics

  • h-index: 4
  • Publications: 12
  • Citations: 54

Selected Publications

  • Convolutional Neural Network Post-Compression Evaluation with Explainable AI (2023) DOI
  • Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker (2021) DOI
  • Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts (2021) DOI

Collaborators

Researchers in the database who share publications

Mariofanna Milanova University of Arkansas at Little Rock 1 shared publication Nitin Agarwal University of Arkansas at Little Rock 1 shared publication Thomas Marcoux University of Arkansas at Little Rock 1 shared publication Esther Mead Southern Arkansas University 1 shared publication

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