Sctientific per-reviewed papers
- Baudouin Naline, Sandra Garcia-Rodriguez Sandra, Karine Zeitouni. "STREAMER 3.0: Towards Online Monitoring and Distributed Learning". Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. 2023. link
- Garcia-Rodriguez, Sandra, Mohammad Alshaer, and Cedric Gouy-Pailler. "STREAMER: a Powerful and Open-Source Framework for Continuous Learning in Data Streams." Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 2020. link
- Mohammad Alshaer, Sandra Garcia-Rodriguez and Cedric Gouy-Pailler. "Detecting Anomalies from Streaming Time Series Using Matrix Profile and Shapelets Learning." Proceedings of the 32th ACM International Conference on Tools with Artificial Intelligence. 2020. link
- J. Zuo, K. Zeitouni, aY. Taher: “SMATE: Semi-supervised Spatio-Temporal Representation Learning on Multivariate Time Series”, IEEE ICDM'21 link
- H. El Hafyani, M. Abboud, J. Zuo, K. Zeitouni and Y. Taher: “Tell Me What Air You Breath, I Tell You Where You Are”, demo, SSTD’21 link
- M. Abboud, H. El Hafyani, J. Zuo, K. Zeitouni and Y. Taher: “Micro-environment Recognition in the context of Environmental Crowdsensing”, BMDA@EDBT’21 link
- J. Zuo, K. Zeitouni, Y. Taher: “Incremental and Adaptive Feature Exploration over Time Series Stream”, IEEE Big Data 2019 link
- J. Zuo, K. Zeitouni, Y. Taher. “Time Series meet Data Streams: Perspectives of the Interdisciplinary Collision and Applications”. BDA 2019, Lyon, France link
- J. Zuo, K. Zeitouni, and Y. Taher, “ISETS: Incremental Shapelet Extraction from Time Series Stream”, demo, ECML-PKDD’19 link
- J. Zuo, K. Zeitouni, and Y. Taher, “Exploring interpretable features for large time series with SE4TeC.” demo, EDBT 2019 link
Divulgation articles
STREAMER
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Latest release
Release v3.3
(source code+environment)
Link -
Quick Start
Link -
STREAMER Guide
Link -
Contact
Sandra GARCIA-RODRIGUEZ
sandra.garciarodriguez@cea.fr