A contract-extended push-pull-clone model. - Hien Thi Thu Truong; Claudia-Lavinia Ignat; Mohamed-Rafik Bouguelia; Pascal Molli (CollaborateCom, 2011)

A Stream-Based Semi-supervised Active Learning Approach for Document Classification. - Mohamed-Rafik Bouguelia; Yolande Belaïd; Abdel Belaïd (ICDAR, 2013)

Document image and zone classification through incremental learning. - Mohamed-Rafik Bouguelia; Yolande Belaïd; Abdel Belaïd (ICIP, 2013)

An Adaptive Incremental Clustering Method based on the Growing Neural Gas Algorithm. - Mohamed-Rafik Bouguelia; Yolande Belaïd; Abdel Belaïd (ICPRAM, 2013)

Online Unsupervised Neural-Gas Learning Method for Infinite Data Streams. - Mohamed-Rafik Bouguelia; Yolande Belaïd; Abdel Belaïd (ICPRAM (Selected Papers), 2013)

Classification active de flux de documents avec identification des nouvelles classes. - Mohamed-Rafik Bouguelia; Yolande Belaïd; Abdel Belaïd (CORIA-CIFED, 2014)

Efficient Active Novel Class Detection for Data Stream Classification. - Mohamed-Rafik Bouguelia; Yolande Belaïd; Abdel Belaïd (ICPR, 2014)

Multipage Administrative Document Stream Segmentation. - Hani Daher; Mohamed-Rafik Bouguelia; Abdel Belaïd; Vincent Poulain D'Andecy (ICPR, 2014)

Classification de flux de documents évolutifs avec apprentissage de classes inconnues. - Mohamed-Rafik Bouguelia; Yolande Belaïd; Abdel Belaïd (Document Numérique, 2014)

Stream-based Active Learning in the Presence of Label Noise. - Mohamed-Rafik Bouguelia; Yolande Belaïd; Abdel Belaïd (ICPRAM (1), 2015)

Identifying and Mitigating Labelling Errors in Active Learning. - Mohamed-Rafik Bouguelia; Yolande Belaïd; Abdel Belaïd (ICPRAM (Selected Papers), 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 (2015)

An adaptive streaming active learning strategy based on instance weighting. - Mohamed-Rafik Bouguelia; Yolande Belaïd; Abdel Belaïd (Pattern Recognit. Lett., 2016)

Multi-Task Representation Learning. - Mohamed-Rafik Bouguelia; Sepideh Pashami; Slawomir Nowaczyk (SAIS, 2017)

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)

Mode tracking using multiple data streams. - Mohamed-Rafik Bouguelia; Alexander Karlsson; Sepideh Pashami; Slawomir Nowaczyk; Anders Holst (Inf. Fusion, 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)

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 (IUI Workshops, 2019)

Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity. - Anders Holst; Juhee Bae; Alexander Karlsson; Mohamed-Rafik Bouguelia (IDM@WSDM, 2019)

Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters. - Amira Soliman 001; Sarunas Girdzijauskas; Mohamed-Rafik Bouguelia; Sepideh Pashami; Slawomir Nowaczyk (PAKDD (1), 2020)

Interactive Anomaly Detection Based on Clustering and Online Mirror Descent. - Lingyun Cheng; Sadhana Sundaresh; Mohamed-Rafik Bouguelia; Onur Dikmen (IoT Streams/ITEM@PKDD/ECML, 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 (IoT Streams/ITEM@PKDD/ECML, 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)

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)

Interactive Clustering: A Comprehensive Review. - Juhee Bae; Tove Helldin; Maria Riveiro 001; Slawomir Nowaczyk; Mohamed-Rafik Bouguelia; Göran Falkman (ACM Comput. Surv., 2021)

Testing Exchangeability With Martingale for Change-Point Detection. - Liang Dai; Mohamed-Rafik Bouguelia (Int. J. Ambient Comput. Intell., 2021)

Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets. - Shiraz Farouq; Stefan Byttner; Mohamed-Rafik Bouguelia; Henrik Gadd (Neurocomputing, 2021)

Towards Geometry-Preserving Domain Adaptation for Fault Identification. - Zahra Taghiyarrenani; Slawomir Nowaczyk; Sepideh Pashami; Mohamed-Rafik Bouguelia (PKDD/ECML Workshops (2), 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)

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)

Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (IJCNN, 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)

Multi-domain adaptation for regression under conditional distribution shift. - Zahra Taghiyarrenani; Slawomir Nowaczyk; Sepideh Pashami; Mohamed-Rafik Bouguelia (Expert Syst. Appl., 2023)

Learning to learn without forgetting using attention. - Anna Vettoruzzo; Joaquin Vanschoren; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (CoLLAs, 2024)

Personalized Federated Learning with Contextual Modulation and Meta-Learning. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (SDM, 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)

Meta-learning for efficient unsupervised domain adaptation. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (Neurocomputing, 2024)

Multimodal meta-learning through meta-learned task representations. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (Neural Comput. Appl., 2024)

Meta-Learning Transformers to Improve In-Context Generalization. - Lorenzo Braccaioli; Anna Vettoruzzo; Prabhant Singh; Joaquin Vanschoren; Mohamed-Rafik Bouguelia; Nicola Conci (CoRR, 2025)

Efficient few-shot human activity recognition via meta-learning and data augmentation. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (Neural Comput. Appl., 2025)