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STREAMRHF: Tree-Based Unsupervised Anomaly Detection for Data Streams

Stefan Nesic , Andrian Putina , Maroua Bahri , Alexis Huet , Jose Manuel , et al.
AICCSA 2022 - 19th ACS/IEEE International Conference on Computer Systems and Applications, Dec 2022, Abu Dhabi, United Arab Emirates
Conference papers hal-03948938v1
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Evolution-Based Online Automated Machine Learning

Cedric Kulbach , Jacob Montiel , Maroua Bahri , Marco Heyden , Albert Bifet
PAKDD 2022 - Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2022, Chengdu, China. pp.472-484, ⟨10.1007/978-3-031-05933-9_37⟩
Conference papers hal-03667231v1
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Effective Weighted k-Nearest Neighbors for Dynamic Data Streams

Maroua Bahri
7th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data in conjunction with the IEEE International Conference on Big Data 2022, Dec 2022, Osaka, Japan
Conference papers hal-03938177v1
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AutoML: state of the art with a focus on anomaly detection, challenges, and research directions

Maroua Bahri , Flavia Salutari , Andrian Putina , Mauro Sozio
International Journal of Data Science and Analytics, 2022, ⟨10.1007/s41060-022-00309-0⟩
Journal articles hal-03590242v1
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AutoAD: an Automated Framework for Unsupervised Anomaly Detection

Andrian Putina , Maroua Bahri , Flavia Salutari , Mauro Sozio
DSAA 2022 - IEEE International Conference on Data Science and Advanced Analytics, Oct 2022, Paris / Virtual Event, France
Conference papers hal-03811809v1