Arjuna Flenner

Grand Rapids Community College — United States

Computer Science · Physical Sciences

11h-index901citations49works0.72yr avg
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Research Topics

Digital Media Forensic Detection(10), Medical Image Segmentation Techniques(9), Generative Adversarial Networks and Image Synthesis(6), Image Retrieval and Classification Techniques(6), Topological and Geometric Data Analysis(5)

Publications49 total

Graph-Directed Topic Models of Text Documents
Association for Women in Mathematics series·2025
Extracting explanations, justification, and uncertainty from black-box deep neural networks
2024· 1 cited
Extracting Explanations, Justification, and Uncertainty from Black-Box Deep Neural Networks
arXiv (Cornell University)·2024· 1 citedOpen Access
Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security — Part Two
AI Magazine·2019· 2 citedOpen Access
Detecting GAN generated Fake Images using Co-occurrence Matrices
arXiv (Cornell University)·2019· 54 citedOpen Access
Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security
AI Magazine·2019· 5 citedOpen Access
Deep Learning Methods for Event Verification and Image Repurposing Detection
arXiv (Cornell University)·2019· 1 citedOpen Access
Detecting GAN generated Fake Images using Co-occurrence Matrices
Electronic Imaging·2019· 289 citedOpen Access
Deep Learning Methods for Event Verification and Image Repurposing Detection
Electronic Imaging·2019· 7 cited
Optimal Control for Improved UAV Communication
AIAA Scitech 2019 Forum·2019· 3 cited
Reports of the AAAI 2017 Fall Symposium Series
AI Magazine·2018· 1 citedOpen Access
Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis
arXiv (Cornell University)·2018· 4 citedOpen Access
Boosting Image Forgery Detection using Resampling Features and Copy-move\n analysis
arXiv (Cornell University)·2018Open Access
Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis
Electronic Imaging·2018· 19 citedOpen Access
Boosting Image Forgery Detection using Resampling Features and Copy-move Analysis
Electronic Imaging·2018· 5 citedOpen Access
Detection and Localization of Image Forgeries using Resampling Features\n and Deep Learning
arXiv (Cornell University)·2017Open Access
Detection and Localization of Image Forgeries Using Resampling Features and Deep Learning
2017· 36 citedOpen Access
Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images
Apollo (University of Cambridge)·2017· 21 citedOpen Access
Integration of Graphs and Representation Learning.
National Conference on Artificial Intelligence·2017
Diffuse Interface Models on Graphs for Classification of High Dimensional Data
SIAM Review·2016· 57 cited
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Frequent Co-authors

Cristina García–Cardona(12), Allon G. Percus(12), Lakshmanan Nataraj(10), Tajuddin Manhar Mohammed(8), Andrea L. Bertozzi(7), B.S. Manjunath(6), Shivkumar Chandrasekaran(6), Jawadul H. Bappy(6), Amit K. Roy–Chowdhury(6), Jason Bunk(6), Ekaterina Merkurjev(5), Lawrence Peterson(5), B. S. Manjunath(4), Gary A. Hewer(4), M. Goebel(2), Ying Zhao(2), Anna Ma(2), Deanna Needell(2), Jennifer Flenner(2), Olusola Samuel-Ojo(2)