Recep Erol
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Conway School of Landscape Design (2017–2020)
Formerly Arkansas Affiliated with UA Little Rock, University of Central Arkansas through 2023.
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Recep Erol's research interests include the application of artificial intelligence and machine learning techniques to analyze complex data. His recent publications demonstrate a focus on areas such as analyzing cyber influence campaigns on YouTube using custom tracking tools, and developing predictive features for modeling refugee counts. He has also investigated the post-compression evaluation of convolutional neural networks with explainable AI methods.
Erol's work involves collaborations with researchers at the University of Arkansas at Little Rock, including Mariofanna Milanova, Nitin Agarwal, and Thomas Marcoux, as well as Esther Mead from Southern Arkansas University. His scholarly output includes 12 publications, with a total of 54 citations and an h-index of 4. Erol is actively publishing, with his most recent work appearing in 2023.
Metrics
- h-index: 4
- Publications: 12
- Citations: 58
Selected Publications
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Convolutional Neural Network Post-Compression Evaluation with Explainable AI (2023)
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Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker (2021)
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Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts (2021)
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Reliability And Chaotic Risk Modeling For Real Time Data Driven Smart Systems (2020)
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Systematic approach for content and construct validation: Case studies for arthroscopy and laparoscopy (2020)
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Determining Big Data Complexity Using Hierarchical Structure of Groups and Clusters in Decision Tree (2018)
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Classification Performances Of Data Mining Clustering Algorithms For Remotely Sensed Multispectral Image Data (2018)
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Data Mining Models for Selection of the Best Spectral Reflectance Indices in Estimation of Crop Yields and Classification of Maize Hybrid Types Using SpectroRadiometer Data (2017)
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Multi-class wine grades predictions with hierarchical support vector machines (2017)
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Texture based skin lesion abruptness quantification to detect malignancy (2017)
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Logical circuit design using orientations of clusters in multivariate data for decision making predictions: A data mining and artificial intelligence algorithm approach (2016)
Collaboration Network
Top Collaborators
- Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker
- Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts
- Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts
- Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts
- Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker
- Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker
- Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker
- Convolutional Neural Network Post-Compression Evaluation with Explainable AI
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