| Feature engineering strategies for credit card fraud detection AC Bahnsen, D Aouada, A Stojanovic, B Ottersten Expert Systems with Applications 51, 134-142, 2016 | 143 | 2016 |
| Example-dependent cost-sensitive decision trees AC Bahnsen, D Aouada, B Ottersten Expert Systems with Applications 42 (19), 6609-6619, 2015 | 120 | 2015 |
| Cost sensitive credit card fraud detection using Bayes minimum risk AC Bahnsen, A Stojanovic, D Aouada, B Ottersten 2013 12th international conference on machine learning and applications 1 …, 2013 | 89 | 2013 |
| Example-dependent cost-sensitive logistic regression for credit scoring AC Bahnsen, D Aouada, B Ottersten 2014 13th International conference on machine learning and applications, 263-269, 2014 | 60 | 2014 |
| Improving credit card fraud detection with calibrated probabilities AC Bahnsen, A Stojanovic, D Aouada, B Ottersten Proceedings of the 2014 SIAM international conference on data mining, 677-685, 2014 | 45 | 2014 |
| A new multi-lateral filter for real-time depth enhancement F Garcia, D Aouada, B Mirbach, T Solignac, B Ottersten 2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011 | 29 | 2011 |
| A novel cost-sensitive framework for customer churn predictive modeling AC Bahnsen, D Aouada, B Ottersten Decision Analytics 2 (1), 5, 2015 | 26 | 2015 |
| Real-time depth enhancement by fusion for RGB-D cameras F Garcia, D Aouada, T Solignac, B Mirbach, B Ottersten IET Computer Vision 7 (5), 335-345, 2013 | 26 | 2013 |
| Squigraphs for fine and compact modeling of 3-D shapes D Aouada, H Krim IEEE Transactions on Image Processing 19 (2), 306-321, 2009 | 26 | 2009 |
| Deep learning advances on different 3D data representations: A survey E Ahmed, A Saint, AER Shabayek, K Cherenkova, R Das, G Gusev, ... arXiv preprint arXiv:1808.01462 1, 2018 | 24* | 2018 |
| Detecting credit card fraud using periodic features AC Bahnsen, D Aouada, A Stojanovic, B Ottersten 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 22 | 2015 |
| Statistical analysis of the global geodesic function for 3D object classification D Aouada, S Feng, H Krim 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 20 | 2007 |
| RGB-D Multi-view System Calibration for Full 3D Scene Reconstruction. H Afzal, D Aouada, D Font, B Mirbach, BE Ottersten ICPR, 2459-2464, 2014 | 18 | 2014 |
| Pose encoding for robust skeleton-based action recognition GG Demisse, K Papadopoulos, D Aouada, B Ottersten Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 16 | 2018 |
| Unified multi-lateral filter for real-time depth map enhancement F Garcia, D Aouada, B Mirbach, T Solignac, B Ottersten Image and Vision Computing 41, 26-41, 2015 | 16 | 2015 |
| Enhanced trajectory-based action recognition using human pose K Papadopoulos, M Antunes, D Aouada, B Ottersten 2017 IEEE International Conference on Image Processing (ICIP), 1807-1811, 2017 | 15 | 2017 |
| Deformation based curved shape representation GG Demisse, D Aouada, B Ottersten IEEE transactions on pattern analysis and machine intelligence 40 (6), 1338-1351, 2017 | 15 | 2017 |
| Unsupervised vanishing point detection and camera calibration from a single manhattan image with radial distortion M Antunes, JP Barreto, D Aouada, B Ottersten Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 15 | 2017 |
| Real-time non-rigid multi-frame depth video super-resolution K Al Ismaeil, D Aouada, T Solignac, B Mirbach, B Ottersten Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 15 | 2015 |
| Dynamic super resolution of depth sequences with non-rigid motions K Al Ismaeil, D Aouada, B Mirbach, B Ottersten 2013 IEEE International Conference on Image Processing, 660-664, 2013 | 15 | 2013 |
Björn OtterstenProfessor, SnT,University of Luxembourg, KTH Royal Institute of Technology, Stockholm, SwedenVerifierad e-postadress på uni.lu
