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 | 44 | 2023 |
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 | 33 | 2021 |
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 28 (2), 177-220, 2024 | 19 | 2024 |
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 | 19 | 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 | 15 | 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 | 15 | 2019 |
Tell me what air you breath, i tell you where you are H El Hafyani, M Abboud, J Zuo, K Zeitouni, Y Taher Proceedings of the 17th International Symposium on Spatial and Temporal …, 2021 | 10 | 2021 |
Falcon mamba: The first competitive attention-free 7b language model J Zuo, M Velikanov, DE Rhaiem, I Chahed, Y Belkada, G Kunsch, H Hacid arXiv preprint arXiv:2410.05355, 2024 | 6 | 2024 |
Isets: Incremental shapelet extraction from time series stream J Zuo, K Zeitouni, Y Taher Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 6 | 2020 |
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 | 4 | 2023 |
Unleashing realistic air quality forecasting: Introducing the ready-to-use purpleairsf dataset J Zuo, W Li, M Baldo, H Hacid Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 3 | 2023 |
Time Series meet Data Streams: Perspectives of the Interdisciplinary Collision and Applications J Zuo, K Zeitouni, Y Taher PhD symposium, BDA 2019, 2019 | 3 | 2019 |
SE2TeC: A Scalable Engine for Efficient and Expressive Time Series Classification. J Zuo, K Zeitouni, Y Taher BDCSIntell, 8-11, 2018 | 2 | 2018 |
MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization J Zuo, G Arvanitakis, M Ndhlovu, H Hacid 27th International Conference on Extending Database Technology, EDBT 2024 …, 2024 | 1 | 2024 |
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge G Arvanitakis, J Zuo, M Ndhlovu, H Hacid 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 1 | 2023 |
Representation learning and forecasting for inter-related time series J Zuo Université Paris-Saclay, 2022 | 1 | 2022 |
Multi-oversampling with Evidence Fusion for Imbalanced Data Classification H Tian, Z Zhang, Z Liu, J Zuo International Conference on Belief Functions, 68-77, 2024 | | 2024 |
Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling J Zuo, H Hacid Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, 2024 | | 2024 |
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks J Zuo, W Li, M Baldo, H Hacid 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | | 2023 |
Apprentissage de représentations et prédiction pour des séries-temporelles inter-dépendantes J Zuo université Paris-Saclay, 2022 | | 2022 |