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Djamila Aouada
Djamila Aouada
Senior Research Scientist, Interdisciplinary Centre for Security, Reliability, and Trust (SnT
Bestätigte E-Mail-Adresse bei uni.lu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Feature engineering strategies for credit card fraud detection
AC Bahnsen, D Aouada, A Stojanovic, B Ottersten
Expert Systems with Applications 51, 134-142, 2016
4592016
Example-dependent cost-sensitive decision trees
AC Bahnsen, D Aouada, B Ottersten
Expert Systems with Applications 42 (19), 6609-6619, 2015
2902015
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
2342013
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
2132018
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
1672014
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
1132014
A novel cost-sensitive framework for customer churn predictive modeling
AC Bahnsen, D Aouada, B Ottersten
Decision Analytics 2, 1-15, 2015
702015
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
632019
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
582017
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
522015
Deformation based curved shape representation
GG Demisse, D Aouada, B Ottersten
IEEE transactions on pattern analysis and machine intelligence 40 (6), 1338-1351, 2017
492017
Depth image enhancement method
B Mirbach, T Solignac, FG Becerro, D Aouada
US Patent 10,275,857, 2019
472019
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
472018
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
452017
A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects
L Pauly, W Rharbaoui, C Shneider, A Rathinam, V Gaudillière, D Aouada
Acta Astronautica, 2023
422023
Lspnet: A 2d localization-oriented spacecraft pose estimation neural network
A Garcia, MA Musallam, V Gaudilliere, E Ghorbel, K Al Ismaeil, M Perez, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
412021
Spacecraft recognition leveraging knowledge of space environment: simulator, dataset, competition design and analysis
MA Musallam, V Gaudilliere, E Ghorbel, K Al Ismaeil, MD Perez, M Poucet, ...
2021 IEEE International Conference on Image Processing Challenges (ICIPC), 11-15, 2021
382021
3dbodytex: Textured 3d body dataset
A Saint, E Ahmed, K Cherenkova, G Gusev, D Aouada, B Ottersten
2018 International Conference on 3D Vision (3DV), 495-504, 2018
332018
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
322011
Why is everyone training very deep neural network with skip connections?
OK Oyedotun, K Al Ismaeil, D Aouada
IEEE Transactions on Neural Networks and Learning Systems 34 (9), 5961-5975, 2022
312022
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