| Feature engineering strategies for credit card fraud detection AC Bahnsen, D Aouada, A Stojanovic, B Ottersten Expert Systems with Applications 51, 134-142, 2016 | 191 | 2016 |
| Example-dependent cost-sensitive decision trees AC Bahnsen, D Aouada, B Ottersten Expert Systems with Applications 42 (19), 6609-6619, 2015 | 151 | 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 | 114 | 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 | 74 | 2014 |
| A survey on deep learning advances on different 3D data representations E Ahmed, A Saint, AER Shabayek, K Cherenkova, R Das, G Gusev, ... arXiv preprint arXiv:1808.01462, 2018 | 58 | 2018 |
| 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 | 52 | 2014 |
| A novel cost-sensitive framework for customer churn predictive modeling AC Bahnsen, D Aouada, B Ottersten Decision Analytics 2 (1), 1-15, 2015 | 37 | 2015 |
| Deformation based curved shape representation GG Demisse, D Aouada, B Ottersten IEEE transactions on pattern analysis and machine intelligence 40 (6), 1338-1351, 2017 | 33 | 2017 |
| 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 | 32 | 2011 |
| 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 | 30 | 2013 |
| 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 | 27 | 2015 |
| 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 |
| 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 | 24 | 2018 |
| Facial expression recognition via joint deep learning of rgb-depth map latent representations OK Oyedotun, G Demisse, A El Rahman Shabayek, D Aouada, ... Proceedings of the IEEE international conference on computer vision …, 2017 | 23 | 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 | 22 | 2017 |
| Vertex feature encoding and hierarchical temporal modeling in a spatial-temporal graph convolutional network for action recognition K Papadopoulos, E Ghorbel, D Aouada, B Ottersten arXiv preprint arXiv:1912.09745, 2019 | 21 | 2019 |
| Depth image enhancement method B Mirbach, T Solignac, FG Becerro, D Aouada US Patent 10,275,857, 2019 | 20 | 2019 |
| 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 | 20 | 2014 |
| 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 | 19 | 2017 |
| 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 | 19 | 2007 |
Björn OtterstenProfessor, SnT,University of Luxembourg, KTH Royal Institute of Technology, Stockholm, SwedenVerified email at uni.lu
