| 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 | 16 | 2021 |
| Exploring Interpretable Features for Large Time Series with SE4TeC. J Zuo, K Zeitouni, Y Taher 22nd International Conference on Extending Database Technology, EDBT 2019 …, 2019 | 16 | 2019 |
| 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 | 12 | 2021 |
| 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 | 11 | 2019 |
| Graph convolutional networks for traffic forecasting with missing values J Zuo, K Zeitouni, Y Taher, S Garcia-Rodriguez Data Mining and Knowledge Discovery 37 (2), 913-947, 2023 | 8 | 2023 |
| Learning the micro-environment from rich trajectories in the context of mobile crowd sensing: Application to air quality monitoring H El Hafyani, M Abboud, J Zuo, K Zeitouni, Y Taher, B Chaix, L Wang Geoinformatica, 1-44, 2022 | 8 | 2022 |
| 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 | 7 | 2021 |
| ISETS: Incremental Shapelet Extraction from Time Series Stream J Zuo, K Zeitouni, Y Taher Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 7 | 2020 |
| Time Series meet Data Streams: Perspectives of the Interdisciplinary Collision and Applications J Zuo, K Zeitouni, Y Taher PhD symposium, BDA 2019, 2019 | 5 | 2019 |
| SE2TeC: A Scalable Engine for Efficient and Expressive Time Series Classification. J Zuo, K Zeitouni, Y Taher BDCSIntell, 8-11, 2018 | 2 | 2018 |
| Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset J Zuo, W Li, M Baldo, H Hacid arXiv preprint arXiv:2306.13948, 2023 | 1 | 2023 |
| On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge J Zuo, G Arvanitakis, H Hacid 26th International Conference on Extending Database Technology, EDBT 2023 …, 2023 | 1 | 2023 |
| Representation learning and forecasting for inter-related time series J Zuo Université Paris-Saclay, 2022 | 1 | 2022 |
| Practical Insights on Incremental Learning of New Human Physical Activity on the Edge G Arvanitakis, J Zuo, M Ndhlovu, H Hacid arXiv preprint arXiv:2308.11691, 2023 | | 2023 |
| Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks J Zuo, W Li, M Baldo, H Hacid arXiv preprint arXiv:2307.15916, 2023 | | 2023 |
| Apprentissage de représentations et prédiction pour des séries-temporelles inter-dépendantes J Zuo université Paris-Saclay, 2022 | | 2022 |
Karine ZeitouniUniversity of Versailles Saint-Quentin, UVSQ, Université Paris-SaclayVerified email at uvsq.fr
