Djamila Aouada
Djamila Aouada
Research Scientist, Interdisciplinary Centre for Security, Reliability, and Trust (SnT), University of Luxembourg
Verified email at uni.lu - Homepage
TitleCited byYear
Feature engineering strategies for credit card fraud detection
AC Bahnsen, D Aouada, A Stojanovic, B Ottersten
Expert Systems with Applications 51, 134-142, 2016
1032016
Example-dependent cost-sensitive decision trees
AC Bahnsen, D Aouada, B Ottersten
Expert Systems with Applications 42 (19), 6609-6619, 2015
952015
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
682013
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
452014
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
372014
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
262011
Squigraphs for fine and compact modeling of 3-D shapes
D Aouada, H Krim
IEEE Transactions on Image Processing 19 (2), 306-321, 2009
252009
A novel cost-sensitive framework for customer churn predictive modeling
AC Bahnsen, D Aouada, B Ottersten
Decision Analytics 2 (1), 5, 2015
232015
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
222013
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
202007
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
182015
Rgb-d multi-view system calibration for full 3d scene reconstruction
H Afzal, D Aouada, D Font, B Mirbach, B Ottersten
2014 22nd International Conference on Pattern Recognition, 2459-2464, 2014
182014
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
142013
Geometric modeling of rigid and non-rigid 3d shapes using the global geodesic function
D Aouada, DW Dreisigmeyer, H Krim
2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008
142008
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
13*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
132015
Visual and human-interpretable feedback for assisting physical activity
M Antunes, R Baptista, G Demisse, D Aouada, B Ottersten
European Conference on Computer Vision, 115-129, 2016
122016
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
122015
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
112017
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
112017
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Articles 1–20