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Djalel Benbouzid
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2020 – today
- 2024
- [i4]Djalel Benbouzid, Christiane Plociennik, Laura Lucaj, Mihai Maftei, Iris Merget, Aljoscha Burchardt, Marc P. Hauer, Abdeldjallil Naceri, Patrick van der Smagt:
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems. CoRR abs/2405.13191 (2024) - [i3]Gavin Abercrombie, Djalel Benbouzid, Paolo Giudici, Delaram Golpayegani, Julio Hernandez, Pierre Noro, Harshvardhan Pandit, Eva Paraschou, Charlie Pownall, Jyoti Prajapati, Mark A. Sayre, Ushnish Sengupta, Arthit Suriyawongkul, Ruby Thelot, Sofia Vei, Laura Waltersdorfer:
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms. CoRR abs/2407.01294 (2024) - 2023
- [c5]Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, Patrick van der Smagt, Djalel Benbouzid:
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context. AIES 2023: 705-714 - [c4]Laura Lucaj, Patrick van der Smagt, Djalel Benbouzid:
AI Regulation Is (not) All You Need. FAccT 2023: 1267-1279 - 2022
- [i2]Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt:
Flat latent manifolds for music improvisation between human and machine. CoRR abs/2202.12243 (2022)
2010 – 2019
- 2019
- [c3]Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer:
Unsupervised Real-Time Control Through Variational Empowerment. ISRR 2019: 158-173 - 2018
- [c2]Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt:
Active Learning based on Data Uncertainty and Model Sensitivity. IROS 2018: 1547-1554 - [i1]Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt:
Active Learning based on Data Uncertainty and Model Sensitivity. CoRR abs/1808.02026 (2018) - 2014
- [b1]Djalel Benbouzid:
Sequential prediction for budgeted learning : Application to trigger design. (Prédiction séquentielle pour l'apprentissage budgété : Application à la conception de trigger). University of Paris-Sud, Orsay, France, 2014 - 2012
- [j1]Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl:
MULTIBOOST: A Multi-purpose Boosting Package. J. Mach. Learn. Res. 13: 549-553 (2012) - [c1]Róbert Busa-Fekete, Djalel Benbouzid, Balázs Kégl:
Fast classification using sparse decision DAGs. ICML 2012
Coauthor Index
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last updated on 2024-12-10 20:46 CET by the dblp team
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