| Detecting GAN generated fake images using co-occurrence matrices L Nataraj, TM Mohammed, S Chandrasekaran, A Flenner, JH Bappy, ... arXiv preprint arXiv:1903.06836, 2019 | 355 | 2019 |
| Detection and localization of image forgeries using resampling features and deep learning J Bunk, JH Bappy, TM Mohammed, L Nataraj, A Flenner, BS Manjunath, ... 2017 IEEE conference on computer vision and pattern recognition workshops …, 2017 | 240 | 2017 |
| Diffuse interface models on graphs for classification of high dimensional data AL Bertozzi, A Flenner Multiscale Modeling & Simulation 10 (3), 1090-1118, 2012 | 224 | 2012 |
| Multiclass data segmentation using diffuse interface methods on graphs C Garcia-Cardona, E Merkurjev, AL Bertozzi, A Flenner, AG Percus IEEE transactions on pattern analysis and machine intelligence 36 (8), 1600-1613, 2014 | 161 | 2014 |
| Diffuse interface models on graphs for classification of high dimensional data AL Bertozzi, A Flenner siam REVIEW 58 (2), 293-328, 2016 | 77 | 2016 |
| Diffuse interface methods for multiclass segmentation of high-dimensional data E Merkurjev, C Garcia-Cardona, AL Bertozzi, A Flenner, AG Percus Applied Mathematics Letters 33, 29-34, 2014 | 56 | 2014 |
| Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images L Calatroni, Y van Gennip, CB Schönlieb, HM Rowland, A Flenner Journal of Mathematical Imaging and Vision 57, 269-291, 2017 | 38 | 2017 |
| Boosting image forgery detection using resampling features and copy-move analysis TM Mohammed, J Bunk, L Nataraj, JH Bappy, A Flenner, BS Manjunath, ... arXiv preprint arXiv:1802.03154, 2018 | 34 | 2018 |
| Resampling forgery detection using deep learning and a-contrario analysis A Flenner, L Peterson, J Bunk, TM Mohammed, L Nataraj, BS Manjunath arXiv preprint arXiv:1803.01711, 2018 | 24 | 2018 |
| Multiclass diffuse interface models for semi-supervised learning on graphs C Garcia-Cardona, A Flenner, AG Percus arXiv preprint arXiv:1212.0945, 2012 | 18 | 2012 |
| A Helmholtz principle approach to parameter free change detection and coherent motion using exchangeable random variables A Flenner, G Hewer SIAM Journal on Imaging Sciences 4 (1), 243-276, 2011 | 18 | 2011 |
| Multiclass semi-supervised learning on graphs using Ginzburg-Landau functional minimization C Garcia-Cardona, A Flenner, AG Percus Pattern Recognition Applications and Methods: International Conference …, 2015 | 15 | 2015 |
| Deep models, machine learning, and artificial intelligence applications in national and international security Y Zhao, A Flenner AI Magazine 40 (1), 35-36, 2019 | 12 | 2019 |
| Deep learning methods for event verification and image repurposing detection M Goebel, A Flenner, L Nataraj, BS Manjunath arXiv preprint arXiv:1902.04038, 2019 | 9 | 2019 |
| Detection and localization of image forgeries using resampling features and deep learning J Bappy, TM Mohammed, L Nataraj, A Flenner, S Chandrasekaran, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 9 | 2017 |
| Levy walks for autonomous search A Flenner, J Flenner, J Bobinchak, D Mercier, A Le, K Estabridis, G Hewer Ground/Air Multisensor Interoperability, Integration, and Networking for …, 2012 | 8 | 2012 |
| Improving image clustering using sparse text and the wisdom of the crowds A Ma, A Flenner, D Needell, AG Percus 2014 48th Asilomar Conference on Signals, Systems and Computers, 1555-1557, 2014 | 7 | 2014 |
| Two dimensional histogram analysis using the Helmholtz principle A Flenner, GA Hewer, CS Kenney Inverse Problems and Imaging 2 (4), 485-525, 2008 | 6 | 2008 |
| Level set tree feature detection A Flenner US Patent 8,509,546, 2013 | 3 | 2013 |
| A novel business intelligence technique to improve high performance within an organization applying insights from hydrogeological case O Samuel-Ojo, L Olfman, LA Reinen, A Flenner, DD Oglesby, GJ Funning, ... | 3 | 2013 |
Lakshmanan NatarajEmail confirmado em ece.ucsb.edu
