| 2026 | ECIR | SynIRgy: Synthetic Data and Simulation Synergy for Information Retrieval. | Manel Slokom, Alejandro Bellogn, Mayank Singh, Andrea Barraza-Urbina |
| 2025 | ECIR | How to Diversify any Personalized Recommender? | Manel Slokom, Savvina Daniil, Laura Hollink |
| 2024 | CHI | Technological Innovation in the Media Sector: Understanding Current Practices and Unraveling Opportunities. | Simone Ooms, Pablo Csar, Abdallah El Ali, Davide Ceolin, Laura Hollink, Manel Slokom, Eric J. Pauwels, Valentin Robu, Han La Poutr |
| 2024 | PSD | A Case Study Exploring Data Synthesis Strategies on Tabular vs. Aggregated Data Sources for Official Statistics. | Mohamed Aghaddar, Liu Nuo Su, Manel Slokom, Lucas Barnhoorn, Peter-Paul de Wolf |
| 2024 | PSD | Relational Or Single: A Comparative Analysis of Data Synthesis Approaches for Privacy and Utility on a Use Case from Statistical Office. | Manel Slokom, Shruti Agrawal, Nynke C. Krol, Peter-Paul de Wolf |
| 2022 | PSD | When Machine Learning Models Leak: An Exploration of Synthetic Training Data. | Manel Slokom, Peter-Paul de Wolf, Martha A. Larson |
| 2021 | RecSys | SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research. | Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom |
| 2019 | RecSys | Up Close, but not too Personal: Hypotargeting for Recommender Systems. | Martha A. Larson, Manel Slokom |
| 2019 | RecSys | Data Masking for Recommender Systems: Prediction Performance and Rating Hiding. | Manel Slokom, Martha A. Larson, Alan Hanjalic |
| 2019 | RecSys | BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix. | Christopher Strucks, Manel Slokom, Martha A. Larson |
| 2018 | RecSys | Comparing recommender systems using synthetic data. | Manel Slokom |