| 2022 | AISTATS | The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? | Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys |
| 2022 | ICLR | Topologically Regularized Data Embeddings. | Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys |
| 2020 | ICPR | Graph Approximations to Geodesics on Metric Graphs. | Robin Vandaele, Yvan Saeys, Tijl De Bie |
| 2019 | BigData | Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets. | Daniel Peralta, Yvan Saeys |
| 2019 | ESANN | Detecting adversarial examples with inductive Venn-ABERS predictors. | Jonathan Peck, Bart Goossens, Yvan Saeys |
| 2016 | ACIVS | Decreasing Time Consumption of Microscopy Image Segmentation Through Parallel Processing on the GPU. | Joris Roels, Jonas De Vylder, Yvan Saeys, Bart Goossens, Wilfried Philips |
| 2015 | CEC | Evolutionary undersampling for imbalanced big data classification. | Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys |
| 2014 | ILP | Complex Aggregates over Clusters of Elements. | Celine Vens, Sofie Van Gassen, Tom Dhaene, Yvan Saeys |
| 2014 | ISVC | Noise Analysis and Removal in 3D Electron Microscopy. | Joris Roels, Jan Aelterman, Jonas De Vylder, Hip Quang Luong, Yvan Saeys, Saskia Lippens, Wilfried Philips |
| 2011 | WSC | An alternative approach to avoid overfitting for surrogate models. | Huu Minh Nguyen, Ivo Couckuyt, Luc Knockaert, Tom Dhaene, Dirk Gorissen, Yvan Saeys |
| 2010 | Interspeech | Towards an ASR-free objective analysis of pathological speech. | Catherine Middag, Yvan Saeys, Jean-Pierre Martens |
| 2009 | EUSFLAT | Valued Constraint Satisfaction Problems Applied to Functional Harmony. | Nele Verbiest, Chris Cornelis, Yvan Saeys |
| 2008 | ISMB | ProSOM: core promoter prediction based on unsupervised clustering of DNA physical profiles. | Thomas Abeel, Yvan Saeys, Pierre Rouz, Yves Van de Peer |
| 2007 | ISMB | Translation initiation site prediction on a genomic scale: beauty in simplicity. | Yvan Saeys, Thomas Abeel, Sven Degroeve, Yves Van de Peer |
| 2007 | IWINAC | Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks. | Isis Bonet, Mara M. Garca, Yvan Saeys, Yves Van de Peer, Ricardo Grau balo |
| 2006 | CIARP | Feature Extraction Using Clustering of Protein. | Isis Bonet, Yvan Saeys, Ricardo Grau balo, Mara M. Garca, Robersy Sanchez, Yves Van de Peer |
| 2003 | ECCB | Fast feature selection using a simple estimation of distribution algorithm: a case study on splice site prediction. | Yvan Saeys, Sven Degroeve, Dirk Aeyels, Yves Van de Peer, Pierre Rouz |