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Maroua Bahri
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2020 – today
- 2023
- [c13]Maroua Bahri, Nikolaos Georgantas:
AutoClass: AutoML for Data Stream Classification. IEEE Big Data 2023: 2658-2666 - 2022
- [j3]Maroua Bahri
, Flavia Salutari, Andrian Putina, Mauro Sozio:
AutoML: state of the art with a focus on anomaly detection, challenges, and research directions. Int. J. Data Sci. Anal. 14(2): 113-126 (2022) - [c12]Stefan Nesic, Andrian Putina, Maroua Bahri, Alexis Huet, José Manuel Navarro, Dario Rossi, Mauro Sozio:
STREamRHF: Tree-Based Unsupervised Anomaly Detection for Data Streams. AICCSA 2022: 1-8 - [c11]Maroua Bahri:
Effective Weighted k-Nearest Neighbors for Dynamic Data Streams. IEEE Big Data 2022: 3341-3347 - [c10]Andrian Putina, Maroua Bahri, Flavia Salutari, Mauro Sozio:
AutoAD: an Automated Framework for Unsupervised Anomaly Detectio. DSAA 2022: 1-10 - [c9]Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet
:
Evolution-Based Online Automated Machine Learning. PAKDD (1) 2022: 472-484 - 2021
- [j2]Maurras Ulbricht Togbe, Yousra Chabchoub, Aliou Boly
, Mariam Barry, Raja Chiky, Maroua Bahri:
Anomalies Detection Using Isolation in Concept-Drifting Data Streams. Comput. 10(1): 13 (2021) - [j1]Maroua Bahri
, Albert Bifet
, João Gama
, Heitor Murilo Gomes
, Silviu Maniu
:
Data stream analysis: Foundations, major tasks and tools. WIREs Data Mining Knowl. Discov. 11(3) (2021) - [c8]Maroua Bahri, Albert Bifet
:
Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams. DS 2021: 122-137 - 2020
- [b1]Maroua Bahri:
Improving IoT data stream analytics using summarization techniques. (Amélioration de l'analyse des flux de données IoT à l'aide de techniques de réduction de données). Institut Polytechnique de Paris, France, 2020 - [c7]Maroua Bahri, Bruno Veloso
, Albert Bifet
, João Gama:
AutoML for Stream k-Nearest Neighbors Classification. IEEE BigData 2020: 597-602 - [c6]Maroua Bahri, Albert Bifet
, Silviu Maniu
, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis:
Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. ECAI 2020: 961-968 - [c5]Maroua Bahri, Bernhard Pfahringer, Albert Bifet
, Silviu Maniu
:
Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. IDA 2020: 40-53 - [c4]Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes
:
Survey on Feature Transformation Techniques for Data Streams. IJCAI 2020: 4796-4802 - [c3]Maroua Bahri, Heitor Murilo Gomes
, Albert Bifet, Silviu Maniu
:
CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [c2]Maroua Bahri, Silviu Maniu
, Albert Bifet
:
A Sketch-Based Naive Bayes Algorithms for Evolving Data Streams. IEEE BigData 2018: 604-613 - 2016
- [c1]Maroua Bahri, Zied Elouedi:
Clustering data stream under a belief function framework. AICCSA 2016: 1-8
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