| Exploring Interpretable Features for Large Time Series with SE4TeC. J Zuo, K Zeitouni, Y Taher EDBT, 606-609, 2019 | 6 | 2019 |
| ISETS: Incremental Shapelet Extraction from Time Series Stream J Zuo, K Zeitouni, Y Taher Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 3 | 2019 |
| Incremental and Adaptive Feature Exploration over Time Series Stream J Zuo, K Zeitouni, Y Taher 2019 IEEE International Conference on Big Data (Big Data), 593-602, 2019 | 2 | 2019 |
| SE2TeC: A Scalable Engine for Efficient and Expressive Time Series Classification. J Zuo, K Zeitouni, Y Taher BDCSIntell, 8-11, 2018 | 2 | 2018 |
| SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series J Zuo, K Zeitouni, Y Taher 2021 IEEE International Conference on Data Mining (ICDM), 1565-1570, 2021 | 1 | 2021 |
| Tell me what air you breath, i tell you where you are H El Hafyani, M Abboud, J Zuo, K Zeitouni, Y Taher 17th International Symposium on Spatial and Temporal Databases, 161-165, 2021 | 1 | 2021 |
| Micro-environment recognition in the context of environmental crowdsensing M Abboud, H El Hafyani, J Zuo, K Zeitouni, Y Taher Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS, 2021 | 1 | 2021 |
| Time Series meet Data Streams: Perspectives of the Interdisciplinary Collision and Applications J Zuo, K Zeitouni, Y Taher PhD symposium, BDA 2019, 2019 | | 2019 |
Karine ZeitouniUniversity of Versailles Saint-Quentin, UVSQ, Université Paris-SaclayVerified email at uvsq.fr
