Djalel Benbouzid

12 papers A* 1A 1C 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms.
CoRR
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
2024 J jnl
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems.
CoRR
Djalel Benbouzid, Christiane Plociennik, Laura Lucaj, Mihai Maftei, Iris Merget, Aljoscha Burchardt, Marc P. Hauer, Abdeldjallil Naceri, Patrick van der Smagt
2023 C conf
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context.
AIES
Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, Patrick van der Smagt, Djalel Benbouzid
2023 — conf
AI Regulation Is (not) All You Need.
FAccT
Laura Lucaj, Patrick van der Smagt, Djalel Benbouzid
2022 — conf
Flat Latent Manifolds for Human-machine Co-creation of Music.
AIMC
Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt
2022 J jnl
Flat latent manifolds for music improvisation between human and machine.
CoRR
Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt
2019 C conf
Unsupervised Real-Time Control Through Variational Empowerment.
ISRR
Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer
2018 A conf
Active Learning based on Data Uncertainty and Model Sensitivity.
IROS
Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt
2018 J jnl
Active Learning based on Data Uncertainty and Model Sensitivity.
CoRR
Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt
2014 — —
Sequential prediction for budgeted learning : Application to trigger design. (Prédiction séquentielle pour l'apprentissage budgété : Application à la conception de trigger).
Djalel Benbouzid
2012 A* conf
Fast classification using sparse decision DAGs.
ICML
Róbert Busa-Fekete, Djalel Benbouzid, Balázs Kégl
2012 J jnl
MULTIBOOST: A Multi-purpose Boosting Package.
J. Mach. Learn. Res.
Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl