Arjuna Flenner

According to our database, Arjuna Flenner authored at least 20 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Extracting Explanations, Justification, and Uncertainty from Black-Box Deep Neural Networks.

Paul Ardis, Arjuna Flenner

CoRR, 2024

2019

Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security Part Two.

Ying Zhao, Arjuna Flenner

AI Mag., 2019

Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security.

Ying Zhao, Arjuna Flenner

AI Mag., 2019

Detecting GAN generated Fake Images using Co-occurrence Matrices.

Lakshmanan Nataraj, Tajuddin Manhar Mohammed, B. S. Manjunath, Shivkumar Chandrasekaran, Arjuna Flenner, Jawadul H. Bappy, Amit K. Roy-Chowdhury

Proceedings of the Media Watermarking, 2019

Deep Learning Methods for Event Verification and Image Repurposing Detection.

Michael Goebel, Arjuna Flenner, Lakshmanan Nataraj, Bangalore S. Manjunath

Proceedings of the Media Watermarking, 2019

2018

Reports of the AAAI 2017 Fall Symposium Series.

Arjuna Flenner, Marlena R. Fraune, Laura M. Hiatt, Tony Kendall, John E. Laird, Christian Lebiere, Paul S. Rosenbloom, Frank Stein, Elin Anna Topp, Vaibhav V. Unhelkar, Ying Zhao

AI Mag., 2018

Boosting Image Forgery Detection using Resampling Features and Copy-move Analysis.

Tajuddin Manhar Mohammed, Jason Bunk, Lakshmanan Nataraj, Jawadul H. Bappy, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, Lawrence A. Peterson

Proceedings of the Media Watermarking, Security, and Forensics 2018, Burlingame, CA, USA, 28 January 2018, 2018

Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis.

Arjuna Flenner, Lawrence Peterson, Jason Bunk, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Bangalore S. Manjunath

Proceedings of the Media Watermarking, Security, and Forensics 2018, Burlingame, CA, USA, 28 January 2018, 2018

2017

Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images.

Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb, Hannah M. Rowland, Arjuna Flenner

J. Math. Imaging Vis., 2017

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

Jason Bunk, Jawadul H. Bappy, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, Lawrence Peterson

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Integration of Graphs and Representation Learning.

Arjuna Flenner

Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016

Diffuse Interface Models on Graphs for Classification of High Dimensional Data.

Andrea L. Bertozzi, Arjuna Flenner

SIAM Rev., 2016

2014

Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs.

Cristina Garcia-Cardona, Ekaterina Merkurjev, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Diffuse interface methods for multiclass segmentation of high-dimensional data.

Ekaterina Merkurjev, Cristina Garcia-Cardona, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus

Appl. Math. Lett., 2014

Improving image clustering using sparse text and the wisdom of the crowds.

Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Multiclass Diffuse Interface Models for Semi-supervised Learning on Graphs.

Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus

Proceedings of the ICPRAM 2013, 2013

Multiclass Semi-supervised Learning on Graphs Using Ginzburg-Landau Functional Minimization.

Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus

Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Design Methodology for Construction of Mapping Applications.

Olusola Samuel-Ojo, Lorne Olfman, Linda A. Reinen, Arjuna Flenner, David D. Oglesby, Gareth J. Funning

Proceedings of the Design Science at the Intersection of Physical and Virtual Design, 2013

A Novel Business Intelligence Technique to Improve High Performance within an Organization Applying Insights from Hydrogeological Case.

Olusola Samuel-Ojo, Lorne Olfman, Linda A. Reinen, Arjuna Flenner, David D. Oglesby, Gareth J. Funning, Efosa C. Idemudia

Proceedings of the 19th Americas Conference on Information Systems, 2013

2011

A Helmholtz Principle Approach to Parameter Free Change Detection and Coherent Motion Using Exchangeable Random Variables.

Arjuna Flenner, Gary A. Hewer

SIAM J. Imaging Sci., 2011