Mohamed-Rafik Bouguelia

According to our database, Mohamed-Rafik Bouguelia authored at least 40 papers between 2011 and 2025.

Collaborative distances:

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

2025

Efficient few-shot human activity recognition via meta-learning and data augmentation.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Neural Comput. Appl., August, 2025

Meta-Learning Transformers to Improve In-Context Generalization.

Lorenzo Braccaioli, Anna Vettoruzzo, Prabhant Singh, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, Nicola Conci

CoRR, July, 2025

2024

Multimodal meta-learning through meta-learned task representations.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Neural Comput. Appl., May, 2024

Meta-learning for efficient unsupervised domain adaptation.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Neurocomputing, March, 2024

Advances and Challenges in Meta-Learning: A Technical Review.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Joaquin Vanschoren, Thorsteinn S. Rögnvaldsson, KC Santosh

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Personalized Federated Learning with Contextual Modulation and Meta-Learning.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Learning to learn without forgetting using attention.

Anna Vettoruzzo, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Proceedings of the Conference on Lifelong Learning Agents, 2024

2023

Multi-domain adaptation for regression under conditional distribution shift.

Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia

Expert Syst. Appl., August, 2023

Practical joint human-machine exploration of industrial time series using the matrix profile.

Felix Nilsson, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Data Min. Knowl. Discov., 2023

Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

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.

Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Henrik Gadd

Expert Syst. Appl., 2022

Wisdom of the contexts: active ensemble learning for contextual anomaly detection.

Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen

Data Min. Knowl. Discov., 2022

Towards Geometry-Preserving Domain Adaptation for Fault Identification.

Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia

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.

Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Henrik Gadd

Neurocomputing, 2021

Testing Exchangeability With Martingale for Change-Point Detection.

Liang Dai, Mohamed-Rafik Bouguelia

Int. J. Ambient Comput. Intell., 2021

Interactive Clustering: A Comprehensive Review.

Juhee Bae, Tove Helldin, Maria Riveiro, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Göran Falkman

ACM Comput. Surv., 2021

2020

Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors.

Rebeen Ali Hamad, Alberto Salguero Hidalgo, Mohamed-Rafik Bouguelia, Macarena Espinilla Estévez, Javier Medina Quero

IEEE J. Biomed. Health Informatics, 2020

Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach.

Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Natasa Nord, Henrik Gadd

Eng. Appl. Artif. Intell., 2020

CycleFootprint: A Fully Automated Method for Extracting Operation Cycles from Historical Raw Data of Multiple Sensors.

Hadi Fanaee-T, Mohamed-Rafik Bouguelia, Mahmoud Rahat, Jonathan Blixt, Harpal Singh

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Interactive Anomaly Detection Based on Clustering and Online Mirror Descent.

Lingyun Cheng, Sadhana Sundaresh, Mohamed-Rafik Bouguelia, Onur Dikmen

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.

Amira Soliman, Sarunas Girdzijauskas, Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk

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.

Anders Holst, Juhee Bae, Alexander Karlsson, Mohamed-Rafik Bouguelia

Proceedings of the Workshop on Interactive Data Mining, 2019

Eliciting Structures in Data.

Ahmad Al-Shishtawy, Juhee Bae, Mohamed-Rafik Bouguelia, Göran Falkman, Sarunas Girdzijauskas, Olof Gönerup, Anders Holst, Alexander Karlsson, Slawomir Nowaczyk, Sepideh Pashami, Alan Said, Amira A. Soliman El Hosary

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

Agreeing to disagree: active learning with noisy labels without crowdsourcing.

Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, KC Santosh, Antanas Verikas

Int. J. Mach. Learn. Cybern., 2018

Mode tracking using multiple data streams.

Mohamed-Rafik Bouguelia, Alexander Karlsson, Sepideh Pashami, Slawomir Nowaczyk, Anders Holst

Inf. Fusion, 2018

An adaptive algorithm for anomaly and novelty detection in evolving data streams.

Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, Amir Hossein Payberah

Data Min. Knowl. Discov., 2018

2017

Multi-Task Representation Learning.

Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk

Proceedings of the 30th Annual Workshop of the Swedish Artificial Intelligence Society, 2017

2016

An adaptive streaming active learning strategy based on instance weighting.

Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd

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).

Mohamed-Rafik Bouguelia

PhD thesis, 2015

Identifying and Mitigating Labelling Errors in Active Learning.

Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd

Proceedings of the Pattern Recognition Applications and Methods, 2015

Stream-based Active Learning in the Presence of Label Noise.

Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd

Proceedings of the ICPRAM 2015, 2015

2014

Classification de flux de documents évolutifs avec apprentissage de classes inconnues.

Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd

Document Numérique, 2014

Multipage Administrative Document Stream Segmentation.

Hani Daher, Mohamed-Rafik Bouguelia, Abdel Belaïd, Vincent Poulain D'Andecy

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Efficient Active Novel Class Detection for Data Stream Classification.

Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Classification active de flux de documents avec identification des nouvelles classes.

Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd

Proceedings of the CORIA 2014, 2014

2013

Online Unsupervised Neural-Gas Learning Method for Infinite Data Streams.

Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd

Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

An Adaptive Incremental Clustering Method based on the Growing Neural Gas Algorithm.

Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd

Proceedings of the ICPRAM 2013, 2013

Document image and zone classification through incremental learning.

Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd

Proceedings of the IEEE International Conference on Image Processing, 2013

A Stream-Based Semi-supervised Active Learning Approach for Document Classification.

Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

2011

A contract-extended push-pull-clone model.

Hien Thi Thu Truong, Claudia-Lavinia Ignat, Mohamed-Rafik Bouguelia, Pascal Molli

Proceedings of the 7th International Conference on Collaborative Computing: Networking, 2011