Mohamed-Rafik Bouguelia
Orcid: 0000-0002-2859-6155
According to our database1,
Mohamed-Rafik Bouguelia
authored at least 38 papers
between 2011 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2024
Neural Comput. Appl., May, 2024
Neurocomputing, March, 2024
IEEE Trans. Pattern Anal. Mach. Intell., 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
2023
Expert Syst. Appl., August, 2023
Practical joint human-machine exploration of industrial time series using the matrix profile.
Data Min. Knowl. Discov., 2023
Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating.
Expert Syst. Appl., 2022
Data Min. Knowl. Discov., 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
2021
Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets.
Neurocomputing, 2021
Int. J. Ambient Comput. Intell., 2021
2020
Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors.
IEEE J. Biomed. Health Informatics, 2020
Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach.
Eng. Appl. Artif. Intell., 2020
CycleFootprint: A Fully Automated Method for Extracting Operation Cycles from Historical Raw Data of Multiple Sensors.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020
Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
2019
Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity.
Proceedings of the Workshop on Interactive Data Mining, 2019
Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019
2018
Int. J. Mach. Learn. Cybern., 2018
Data Min. Knowl. Discov., 2018
2017
Proceedings of the 30th Annual Workshop of the Swedish Artificial Intelligence Society, 2017
2016
Pattern Recognit. Lett., 2016
2015
Classification et apprentissage actif à partir d'un flux de données évolutif en présence d'étiquetage incertain. (Classification and active learning from evolving data streams in the presence of uncertain labeling knowledge).
PhD thesis, 2015
Proceedings of the Pattern Recognition Applications and Methods, 2015
Stream-based Active Learning in the Presence of Label Noise.
Proceedings of the ICPRAM 2015, 2015
2014
Classification de flux de documents évolutifs avec apprentissage de classes inconnues.
Document Numérique, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Classification active de flux de documents avec identification des nouvelles classes.
Proceedings of the CORIA 2014, 2014
2013
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013
An Adaptive Incremental Clustering Method based on the Growing Neural Gas Algorithm.
Proceedings of the ICPRAM 2013, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013
2011
Proceedings of the 7th International Conference on Collaborative Computing: Networking, 2011