| STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring S Pathak, C Lu, SB Nagaraj, M van Putten, C Seifert Artificial intelligence in medicine 114, 102038, 2021 | 46 | 2021 |
| Data-driven chimney fire risk prediction using machine learning and point process tools C Lu, MNM van Lieshout, M de Graaf, P Visscher Annals of applied statistics 17 (4), 3088-3111, 2023 | 3 | 2023 |
| Channel Contribution in Deep Learning Based Automatic Sleep Scoring—How Many Channels Do We Need? C Lu, S Pathak, G Englebienne, C Seifert IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 494-505, 2022 | 3 | 2022 |
| Infill asymptotics for logistic regression estimators for spatio-temporal point processes MNM van Lieshout, C Lu arXiv preprint arXiv:2208.12080, 2022 | 2 | 2022 |
| Chimney fire prediction based on environmental variables C Lu, MC van Lieshout, M de Graaf, P Visscher 63rd World Statistics Congress, ISI 2021, 2021 | 2 | 2021 |
| XGBoostPP: Tree-based estimation of point process intensity functions C Lu, Y Guan, MNM Van Lieshout, G Xu arXiv preprint arXiv:2401.17966, 2024 | 1 | 2024 |
| MNM van Lieshout and C. Lu’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’ MC van Lieshout, C Lu Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | | 2024 |
Shreyasi PathakPhD candidate, University of TwenteEmail confirmado em utwente.nl
