| Semi-supervised consensus clustering based on closed patterns T Yang, N Pasquier, F Precioso Knowledge-Based Systems 235, 107599, 2022 | 32 | 2022 |
| Semi-supervised consensus clustering based on frequent closed itemsets T Yang, N Pasquier, A Hom, L Dollé, F Precioso Proceedings of the 29th ACM International Conference on Information …, 2020 | 7 | 2020 |
| Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management. T Yang, N Pasquier, F Precioso DATA, 283-293, 2020 | 5 | 2020 |
| Clustering Techniques for Revenue Accounting Error-Handling Automation T Yang, N Pasquier, F Precioso, A Hom, L Dollé | 2 | 2020 |
| Quantitative Analysis of Mental Effort Investment using Photoplethysmogram Y Lyu, T Yang, X Luo, C Yu, L Wang, Y Shi International Conference on Health Informatics 2, 166-171, 2014 | 1 | 2014 |
| An Experimental Study of Semi-supervised Clustering Performance in Presence of Imbalanced and Noisy Constraints T Yang, N Pasquier | | 2024 |
| Le clustering semi-supervisé appliqué à la comptabilité des revenus T Yang Université Côte d'Azur, 2021 | | 2021 |
| Semi-supervised clustering applied in revenue accounting T Yang Université Côte d'Azur, 2021 | | 2021 |
Nicolas PasquierUniversité Côte d'Azur, Laboratoire I3SVerified email at i3s.unice.fr
