| MultiBoost: a multi-purpose boosting package D Benbouzid, R Busa-Fekete, N Casagrande, FD Collin, B Kégl The Journal of Machine Learning Research 13 (1), 549-553, 2012 | 116 | 2012 |
| Fast classification using sparse decision DAGs D Benbouzid, R Busa-Fekete, B Kégl arXiv preprint arXiv:1206.6387, 2012 | 84 | 2012 |
| Unsupervised real-time control through variational empowerment M Karl, P Becker-Ehmck, M Soelch, D Benbouzid, P van der Smagt, ... The International Symposium of Robotics Research, 158-173, 2019 | 60 | 2019 |
| Ai regulation is (not) all you need L Lucaj, P Van Der Smagt, D Benbouzid Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 33 | 2023 |
| Active learning based on data uncertainty and model sensitivity N Chen, A Klushyn, A Paraschos, D Benbouzid, P Van der Smagt 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 17 | 2018 |
| The RAMP framework: from reproducibility to transparency in the design and optimization of scientific workflows B Kégl, A Boucaud, M Cherti, A Kazakci, A Gramfort, G Lemaitre, ... | 13 | 2018 |
| A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context D Burema, N Debowski-Weimann, A von Janowski, J Grabowski, M Maftei, ... Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 705-714, 2023 | 10 | 2023 |
| MDDAG: learning deep decision DAGs in a Markov decision process setup D Benbouzid, R Busa-Fekete, B Kégl 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), 2011 | 4 | 2011 |
| A collaborative, Human-Centred taxonomy of AI, algorithmic, and automation harms G Abercrombie, D Benbouzid, P Giudici, D Golpayegani, J Hernandez, ... arXiv preprint arXiv:2407.01294, 2024 | 3 | 2024 |
| Sequential prediction for budgeted learning: Application to trigger design D Benbouzid Université Paris Sud-Paris XI, 2014 | 2 | 2014 |
| Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems D Benbouzid, C Plociennik, L Lucaj, M Maftei, I Merget, A Burchardt, ... arXiv preprint arXiv:2405.13191, 2024 | | 2024 |
| Flat Latent Manifolds for Human-machine Co-creation of Music N Chen, D Benbouzid, F Ferroni, M Nitschke, L Pinna, P van der Smagt arXiv preprint arXiv:2202.12243, 2022 | | 2022 |
| Unsupervised Real-Time Control Through Variational Empowerment D Benbouzid, P van der Smagt, J Bayer Robotics Research: The 19th International Symposium ISRR 20, 158, 2022 | | 2022 |
| Flat latent manifolds for music improvisation between human and machine. N Chen, D Benbouzid, F Ferroni, M Nitschke, L Pinna, P van der Smagt CoRR, 2022 | | 2022 |
| D. Benbouzid, Róbert Busa-Fekete, Balázs Kégl. MDDAG: learning deep decision DAGs in a Markov decision process setup. 25th Annual Conference on Neural Information Processing … D Benbouzid, R Busa-Fekete, B Kégl < bound method Organization. get_name_with_acronym of< Organization: IN2P3 …, 2011 | | 2011 |
Patrick van der SmagtVolkswagen AG; ELTE UniversityVerified email at tum.de
