| 2026 | AAAI | Oxytrees: Model Trees for Bipartite Learning. | Pedro Ildio, Felipe Kenji Nakano, Alireza Gharahighehi, Robbe D'hondt, Ricardo Cerri, Celine Vens |
| 2026 | SAC | Investigating Study Choice in Flemish Schools: An Application of Multi-Target Regression and Large Language Models. | Bert Vos, Felipe Kenji Nakano, Celine Vens, Alireza Gharahighehi |
| 2025 | AIME | Multi-Event Survival-Informed Clustering for Time-to-Worsening in Multiple Sclerosis. | Robbe D'hondt, Jasper de Boer, Celine Vens |
| 2025 | CIBCB | Inductive models for structured output prediction of lncRNA-disease associations. | Felipe Kenji Nakano, Livia Bertoni, Ricardo Cerri, Celine Vens |
| 2025 | IJCNN | Active semi-supervised learning for multi-target regression. | Maira Farias Andrade Lira, Luisa Cavalcante, Celine Vens, Ricardo B. C. Prudncio, Felipe Kenji Nakano |
| 2025 | LAK | Integrating Expert Knowledge in Matrix Factorization. | Changsheng Chen, Robbe D'hondt, Alireza Gharahighehi, Celine Vens, Wim Van Den Noortgate |
| 2024 | IJCNN | Deep forests with tree-embeddings and label imputation for weak-label learning. | Pedro Ildio, Ricardo Cerri, Celine Vens, Felipe Kenji Nakano |
| 2023 | AIME | A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis. | Robbe D'hondt, Sinead Moylett, An Goris, Celine Vens |
| 2022 | AIME | A Novel Survival Analysis Approach to Predict the Need for Intubation in Intensive Care Units. | Michela Venturini, Ingrid Van Keilegom, Wouter De Corte, Celine Vens |
| 2021 | DIS | An Ensemble Hypergraph Learning Framework for Recommendation. | Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos |
| 2020 | RecSys | Making Session-based News Recommenders Diversity-aware. | Alireza Gharahighehi, Celine Vens |
| 2017 | DSAA | Combining Instance and Feature Neighbors for Efficient Multi-label Classification. | Len Feremans, Boris Cule, Celine Vens, Bart Goethals |
| 2014 | ILP | Complex Aggregates over Clusters of Elements. | Celine Vens, Sofie Van Gassen, Tom Dhaene, Yvan Saeys |
| 2013 | DIS | Generalizing from Example Clusters. | Pan Hu, Celine Vens, Bart Verstrynge, Hendrik Blockeel |
| 2013 | IC3K | Semi-supervised Clustering with Example Clusters. | Celine Vens, Bart Verstrynge, Hendrik Blockeel |
| 2011 | ICDM | Random Forest Based Feature Induction. | Celine Vens, Fabrizio Costa |
| 2006 | ILP | ReMauve: A Relational Model Tree Learner. | Celine Vens, Jan Ramon, Hendrik Blockeel |
| 2004 | ILP | First Order Random Forests with Complex Aggregates. | Celine Vens, Anneleen Van Assche, Hendrik Blockeel, Saso Dzeroski |