Fast classification using sparse decision DAGs. - Róbert Busa-Fekete; Djalel Benbouzid; Balázs Kégl (ICML, 2012)

MULTIBOOST: A Multi-purpose Boosting Package. - Djalel Benbouzid; Róbert Busa-Fekete; Norman Casagrande; François-David Collin; Balázs Kégl (J. Mach. Learn. Res., 2012)

Sequential prediction for budgeted learning : Application to trigger design. (Prédiction séquentielle pour l'apprentissage budgété : Application à la conception de trigger). - Djalel Benbouzid (2014)

Active Learning based on Data Uncertainty and Model Sensitivity. - Nutan Chen; Alexej Klushyn; Alexandros Paraschos; Djalel Benbouzid; Patrick van der Smagt (IROS, 2018)

Unsupervised Real-Time Control Through Variational Empowerment. - Maximilian Karl; Philip Becker-Ehmck; Maximilian Soelch 001; Djalel Benbouzid; Patrick van der Smagt; Justin Bayer (ISRR, 2019)

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)

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 (AIES, 2023)

AI Regulation Is (not) All You Need. - Laura Lucaj; Patrick van der Smagt; Djalel Benbouzid (FAccT, 2023)

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)

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; et al. (CoRR, 2024)