| Multi–feature fusion tracking algorithm based on peak–context learning T Bouraffa, Z Feng, L Yan, Y Xia, B Xiao Image and Vision Computing 123, 104468, 2022 | 9 | 2022 |
| Context-aware correlation filter learning toward peak strength for visual tracking T Bouraffa, L Yan, Z Feng, B Xiao, QMJ Wu, Y Xia IEEE Transactions on Cybernetics 51 (10), 5105-5115, 2019 | 9 | 2019 |
| Extracting Driving Styles from Automotive Sensor Data to Develop Personas W M. Cagri, Kaya and Tayssir, Bouraffa and Krzysztof IEEE-UBMK, Antalya, TUrkiye, 2024 | | 2024 |
| Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves T Bouraffa, Elias Kjellberg Carlson, Erik Wessman, Ali Nouri, Pierre Lamart ... IEEE Intelligent Transportation Systems Conference (ITSC), https://arxiv.org …, 2024 | | 2024 |
| ViDCoM Pre-Study: Video-based Driver Condition Monitoring for Safe Driving T Bouraffa Approved by SAFER, https://www.saferresearch.com/projects/vidcom, 2023 | | 2023 |
| Deep Convolutional Correlation Filter Learning Toward Robust Visual Object Tracking T Bouraffa, Z Feng, Y Wang, L Yan, Y Xia, B Xiao 2022 34th Chinese Control and Decision Conference (CCDC), 4313-4320, 2022 | | 2022 |
| Kernelized Correlation Filters based Visual Object Tracking via Multi-feature Fusion and Deep Learning T Bouraffa Beijing Institute of Technology, 2022 | | 2022 |
| A Deep Neural Network for Simultaneous Multi-task Learning T Bouraffa National Engineering School of Tunis & Technische Universit¨at Braunschweig, 2018 | | 2018 |
