Djalel Benbouzid

According to our database, Djalel Benbouzid authored at least 11 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms.

Gavin Abercrombie, Djalel Benbouzid, Paolo Giudici, Delaram Golpayegani, Julio Hernandez, Pierre Noro, Harshvardhan J. Pandit, Eva Paraschou, Charlie Pownall, Jyoti Prajapati, Mark A. Sayre, Ushnish Sengupta, Arthit Suriyawongkul, Ruby Thelot, Sofia Vei, Laura Waltersdorfer

CoRR, 2024

Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems.

Djalel Benbouzid, Christiane Plociennik, Laura Lucaj, Mihai Maftei, Iris Merget, Aljoscha Burchardt, Marc P. Hauer, Abdeldjallil Naceri, Patrick van der Smagt

CoRR, 2024

2023

AI Regulation Is (not) All You Need.

Laura Lucaj, Patrick van der Smagt, Djalel Benbouzid

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context.

Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, Patrick van der Smagt, Djalel Benbouzid

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Flat latent manifolds for music improvisation between human and machine.

Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt

CoRR, 2022

Flat Latent Manifolds for Human-machine Co-creation of Music.

Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt

Proceedings of the 3rd AI Music Creativity Conference (AIMC 2022), 2022

2019

Unsupervised Real-Time Control Through Variational Empowerment.

Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer

Proceedings of the Robotics Research, 2019

2018

Active Learning based on Data Uncertainty and Model Sensitivity.

Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2014

Sequential prediction for budgeted learning : Application to trigger design. (Prédiction séquentielle pour l'apprentissage budgété : Application à la conception de trigger).

Djalel Benbouzid

PhD thesis, 2014

2012

MULTIBOOST: A Multi-purpose Boosting Package.

Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl

J. Mach. Learn. Res., 2012

Fast classification using sparse decision DAGs.

Róbert Busa-Fekete, Djalel Benbouzid, Balázs Kégl

Proceedings of the 29th International Conference on Machine Learning, 2012