| Adversarial balancing-based representation learning for causal effect inference with observational data X Du, L Sun, W Duivesteijn, A Nikolaev, M Pechenizkiy Data Mining and Knowledge Discovery 35 (4), 1713-1738, 2021 | 43 | 2021 |
| Causal discovery from incomplete data: a deep learning approach Y Wang, V Menkovski, H Wang, X Du, M Pechenizkiy arXiv preprint arXiv:2001.05343, 2020 | 32 | 2020 |
| struc2gauss: Structural role preserving network embedding via Gaussian embedding Y Pei, X Du, J Zhang, G Fletcher, M Pechenizkiy Data Mining and Knowledge Discovery 34, 1072-1103, 2020 | 25 | 2020 |
| Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling X Du, Y Pei, W Duivesteijn, M Pechenizkiy Data Mining and Knowledge Discovery 34, 1267-1290, 2020 | 10 | 2020 |
| Fairness in network representation by latent structural Heterogeneity in observational data X Du, Y Pei, W Duivesteijn, M Pechenizkiy 34th AAAI conference on Artificial Intelligence (AAAI2020) 34 (No 04: AAAI …, 2020 | 9 | 2020 |
| Elba: Exceptional learning behavior analysis X Du, W Duivesteijn, MD Klabbers, M Pechenizkiy 11th International Conference on Educational Data Mining (EDM2018), 312-318, 2018 | 8 | 2018 |
| Risk-driven design of perception systems A Corso, S Katz, C Innes, X Du, S Ramamoorthy, MJ Kochenderfer Advances in Neural Information Processing Systems 35, 9894-9906, 2022 | 5 | 2022 |
| Vision checklist: Towards testable error analysis of image models to help system designers interrogate model capabilities X Du, B Legastelois, B Ganesh, A Rajan, H Chockler, V Belle, S Anderson, ... arXiv preprint arXiv:2201.11674, 2022 | 4 | 2022 |
| Beyond discriminant patterns: On the robustness of decision rule ensembles X Du, S Ramamoorthy, W Duivesteijn, J Tian, M Pechenizkiy arXiv preprint arXiv:2109.10432, 2021 | 4 | 2021 |
| struc2gauss: Structure preserving network embedding via gaussian embedding Y Pei, X Du, J Zhang, G Fletcher, M Pechenizkiy arXiv preprint arXiv:1805.10043, 2018 | 3 | 2018 |
| How to cheat the page limit W Duivesteijn, S Hess, X Du Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 2020 | 2 | 2020 |
| How to Cheat the Page Limit: the Version Adhering to the Guidelines W Duivesteijn, S Hess, X Du To appear, 0 | 1 | |
| How to Cheat the Page Limit: the Cheating Version W Duivesteijn, S Hess, X Du To appear, 0 | 1 | |
| The Uncertainty in Exceptional Model Mining X Du Eindhoven University of Technology, 2020 | | 2020 |
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
