Publications

• • N Verma, A Bifet, B Pfahringer, M Bahri. ASML: a Scalable and Efficient AutoML Solution for Data Streams. International Conference on Automated Machine Learning (autoML), 2024. 

  • M Bahri, N Georgantas. AutoClass: AutoML for Data Stream Classification. 8th 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 (Big Data), 2023.

  • A Putina, M Bahri, F Salutari, M Sozio. AutoAD: an Automated Framework for Unsupervised Anomaly Detection. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2022. 

  • C Kulbach, J Montiel, M Bahri, M Heyden, A Bifet. Evolution-based Online Automated Machine Learning. 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022. 

  • M Bahri, F Salutari, A Putina, M Sozio. AutoML: State-of-the-art with a Focus on Anomaly Detection, Challenges, and Research Directions. International Journal of Data Science and Analytics (IJDSA), 2022. 

  • M Bahri. Effective Weighted k-Nearest Neighbors for Dynamic Data Streams. The IEEE International Conference on Big Data (Big Data), 2022.

  • S Nesic, A Putina, M Bahri, A Huet, JM Navarro, D Rossi, M Sozio. STREAMRHF: Tree-Based Unsupervised Anomaly Detection for Data Streams. 19th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2022. 

  • M Bahri, A Bifet.  Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams. 24th International Conference on Discovery Science (DS), 2021.

  • M Bahri, A Bifet, J Gama, H M Gomes, S Maniu. Data Stream Analysis: Foundations, Major Tasks, and Tools. WIREs Data Mining and Knowledge Discovery (DMKD), 2021.

  • M U Togbe, Y Chabchoub, A Boly, M Barry, R Chiky, M Bahri. Anomalies Detection Using Isolation in Concept-Drifting Data Streams. Computers, 10(1), 2021.

  • M Bahri, A Bifet, S Maniu, H M Gomes. Survey on Feature Transformation Techniques for Data Streams. International Joint Conference on Artificial Intelligence (IJCAI), 2020.

  • M Bahri, B Veloso, A Bifet, J Gama. AutoML for Stream k-Nearest Neighbors Classification. IEEE International Conference on Big Data (Big Data), 2020.

  • M Bahri, A Bifet, S Maniu, R F. de Mello, N Tziortziotis. Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. 24th European Conference on Artificial Intelligence (ECAI), 2020. 

  • M Bahri, H M Gomes, A Bifet, S Maniu. Compressed Adaptive Random Forests for Evolving Data Streams. International Joint Conference on Neural Networks (IJCNN), 2020.

  • M Bahri, B Pfahringer, A Bifet, S Maniu. Efficient Batch-Incremental Classification for Evolving Data Streams. Symposium on Intelligent Data Analysis (IDA), 2020. 

  • M Bahri, S Maniu, A Bifet. Sketch-Based Naive Bayes Algorithms for Evolving Data Streams. IEEE International Conference on Big Data (Big Data), 2018.

  • M Bahri, Z Elouedi. Clustering Data Stream Under a Belief Function Framework. 13th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2016.

• Improving IoT data stream analytics using summarization techniques, PhD Thesis.

Posters:

• Sketch-Based Naive Bayes Algorithm for Evolving Data Streams. Machine Learning Summer School (MLSS), Moscow, Russia, 2019.