ViTOR: Learning to Rank Webpages Based on Visual Features. - Bram van den Akker; Ilya Markov; Maarten de Rijke (WWW, 2019)

Machine Learning for Fraud Detection in E-Commerce: A Research Agenda. - Niek Tax; Kees Jan de Vries; Mathijs de Jong; Nikoleta Dosoula; Bram van den Akker; Jon Smith; Olivier Thuong; Lucas Bernardi (CoRR, 2021)

Extending Open Bandit Pipeline to Simulate Industry Challenges. - Bram van den Akker; Niklas Weber; Felipe Moraes; Dmitri Goldenberg (CoRR, 2022)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Practical Bandits: An Industry Perspective. - Bram van den Akker; Olivier Jeunen; Ying Li 012; Ben London 001; Zahra Nazari; Devesh Parekh (WSDM, 2024)

Rethinking Knowledge Transfer in Learning Using Privileged Information. - Danil Provodin; Bram van den Akker; Christina Katsimerou; Maurits Clemens Kaptein; Mykola Pechenizkiy (Trans. Mach. Learn. Res., 2025)

Qini curve estimation under clustered network interference. - Rickard K. A. Karlsson; Bram van den Akker; Felipe Moraes; Hugo Manuel Proença; Jesse H. Krijthe (CoRR, 2025)