| 2026 | ICDE | HCT-QA: A Benchmark for Question Answering on Human-Centric Tables. | Mohammad Shahmeer Ahmad, Zan Ahmad Naeem, Michal Aupetit, Ahmed K. Elmagarmid, Mohamed Y. Eltabakh, Xiaosong Ma, Mourad Ouzzani, Chaoyi Ruan, Hani Al-Sayeh |
| 2022 | ESANN | Supervised dimensionality reduction technique accounting for soft classes. | Sorina Mustatea, Michal Aupetit, Jaakko Peltonen, Sylvain Lespinats, Denys Dutykh |
| 2020 | AVI | Comparing and Exploring High-Dimensional Data with Dimensionality Reduction Algorithms and Matrix Visualizations. | Ren Cutura, Michal Aupetit, Jean-Daniel Fekete, Michael Sedlmair |
| 2018 | CSCW | Visualizing Geo-Demographic Urban Data. | Matheus Arajo, Yelena Mejova, Michal Aupetit, Ingmar Weber |
| 2018 | ESANN | VisCoDeR: A tool for visually comparing dimensionality reduction algorithms. | Ren Cutura, Stefan Holzer, Michal Aupetit, Michael Sedlmair |
| 2017 | CBMS | Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity. | Michal Aupetit, Luis Fernndez-Luque, Meghna Singh, Jaideep Srivastava |
| 2017 | ICWSM | Visualizing Health Awareness in the Middle East. | Matheus Lima Diniz Arajo, Yelena Mejova, Michal Aupetit, Ingmar Weber |
| 2016 | VizSec | Visualization of actionable knowledge to mitigate DRDoS attacks. | Michal Aupetit, Yury Zhauniarovich, Giorgos Vasiliadis, Marc Dacier, Yazan Boshmaf |
| 2015 | IJCAI | Exploratory Digraph Navigation Using A. | Fabrice Mayran de Chamisso, Laurent Soulier, Michal Aupetit |
| 2014 | IPMU | Interpretability in Fuzzy Systems Optimization: A Topological Approach. | Ricardo de Aldama, Michal Aupetit |
| 2013 | CAIP | Alternating Optimization for Lambertian Photometric Stereo Model with Unknown Lighting Directions. | Khrystyna Kyrgyzova, Lorne Allano, Michal Aupetit |
| 2012 | ESANN | A generative model that learns Betti numbers from a data set. | Maxime Maillot, Michal Aupetit, Grard Govaert |
| 2010 | ESANN | Mapping without visualizing local default is nonsense. | Sylvain Lespinats, Michal Aupetit |
| 2010 | ESANN | Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. | Axel Wismller, Michel Verleysen, Michal Aupetit, John Aldo Lee |
| 2008 | ESANN | Homogeneous bipartition based on multidimensional ranking. | Michal Aupetit |
| 2007 | ESANN | Learning topology of a labeled data set with the supervised generative gaussian graph. | Pierre Gaillard, Michal Aupetit, Grard Govaert |
| 2006 | ESANN | Visualizing the trustworthiness of a projection. | Michal Aupetit |
| 2004 | ESANN | Visualizing distortions in continuous projection techniques. | Michal Aupetit |
| 2003 | ESANN | High-dimensional labeled data analysis with Gabriel graphs. | Michal Aupetit |
| 2003 | ESANN | Robust Topology Representing Networks. | Michal Aupetit |
| 2000 | IJCNN | A 'Recruiting Neural-Gas' for Function Approximation. | Michal Aupetit, Pierre Couturier, Pierre Massotte |