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Detection and Localization of Image Forgeries Using Resampling Features and Deep Learning.

, , , , , , , , and . CVPR Workshops, page 1881-1889. IEEE Computer Society, (2017)

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Multiclass Semi-supervised Learning on Graphs Using Ginzburg-Landau Functional Minimization., , and . ICPRAM (Selected Papers), volume 318 of Advances in Intelligent Systems and Computing, page 119-135. Springer, (2013)Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security Part Two., and . AI Mag., 40 (2): 29-30 (2019)Reports of the AAAI 2017 Fall Symposium Series., , , , , , , , , and 1 other author(s). AI Mag., 39 (2): 81-86 (2018)Diffuse Interface Models on Graphs for Classification of High Dimensional Data., and . SIAM Rev., 58 (2): 293-328 (2016)A Novel Business Intelligence Technique to Improve High Performance within an Organization Applying Insights from Hydrogeological Case., , , , , , and . AMCIS, Association for Information Systems, (2013)Integration of Graphs and Representation Learning.. AAAI Fall Symposia, page 196-199. AAAI Press, (2017)Deep Learning Methods for Event Verification and Image Repurposing Detection., , , and . Media Watermarking, Security, and Forensics, Society for Imaging Science and Technology, (2019)Boosting Image Forgery Detection using Resampling Features and Copy-move Analysis., , , , , , , , and . Media Watermarking, Security, and Forensics, Society for Imaging Science and Technology, (2018)Improving image clustering using sparse text and the wisdom of the crowds., , , and . ACSSC, page 1555-1557. IEEE, (2014)Multiclass Diffuse Interface Models for Semi-Supervised Learning on Graphs, , and . CoRR, (2012)