Maroua Bahri

According to our database, Maroua Bahri authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

AutoClass: AutoML for Data Stream Classification.

Maroua Bahri, Nikolaos Georgantas

Proceedings of the IEEE International Conference on Big Data, 2023

2022

AutoML: state of the art with a focus on anomaly detection, challenges, and research directions.

Maroua Bahri, Flavia Salutari, Andrian Putina, Mauro Sozio

Int. J. Data Sci. Anal., 2022

Evolution-Based Online Automated Machine Learning.

Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

AutoAD: an Automated Framework for Unsupervised Anomaly Detectio.

Andrian Putina, Maroua Bahri, Flavia Salutari, Mauro Sozio

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Effective Weighted k-Nearest Neighbors for Dynamic Data Streams.

Maroua Bahri

Proceedings of the IEEE International Conference on Big Data, 2022

STREamRHF: Tree-Based Unsupervised Anomaly Detection for Data Streams.

Stefan Nesic, Andrian Putina, Maroua Bahri, Alexis Huet, José Manuel Navarro, Dario Rossi, Mauro Sozio

Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2021

Data stream analysis: Foundations, major tasks and tools.

Maroua Bahri, Albert Bifet, João Gama, Heitor Murilo Gomes, Silviu Maniu

WIREs Data Mining Knowl. Discov., 2021

Anomalies Detection Using Isolation in Concept-Drifting Data Streams.

Maurras Ulbricht Togbe, Yousra Chabchoub, Aliou Boly, Mariam Barry, Raja Chiky, Maroua Bahri

Comput., 2021

Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams.

Maroua Bahri, Albert Bifet

Proceedings of the Discovery Science - 24th International Conference, 2021

2020

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).

Maroua Bahri

PhD thesis, 2020

CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification.

Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Survey on Feature Transformation Techniques for Data Streams.

Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams.

Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams.

Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

AutoML for Stream k-Nearest Neighbors Classification.

Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

A Sketch-Based Naive Bayes Algorithms for Evolving Data Streams.

Maroua Bahri, Silviu Maniu, Albert Bifet

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Clustering data stream under a belief function framework.

Maroua Bahri, Zied Elouedi

Proceedings of the 13th IEEE/ACS International Conference of Computer Systems and Applications, 2016