Mohamed-Rafik Bouguelia

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 28

Top Venues

Data Min. Knowl. Discov.

CoRR

IoT Streams/ITEM@PKDD/ECML

Neurocomputing

University of Lorraine, Nancy, France (PHD)

Education History

University of Lorraine, Nancy, France

PHD

Publications

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson
Multimodal meta-learning through meta-learned task representations. Neural Comput. Appl. 36 (15) (2024)
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson
Personalized Federated Learning with Contextual Modulation and Meta-Learning. SDM (2024)
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Joaquin Vanschoren, Thorsteinn S. Rögnvaldsson, KC Santosh
Advances and Challenges in Meta-Learning: A Technical Review. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson
Meta-learning for efficient unsupervised domain adaptation. Neurocomputing 574 (2024)
Felix Nilsson, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson
Practical joint human-machine exploration of industrial time series using the matrix profile. Data Min. Knowl. Discov. 37 (1) (2023)
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson
Personalized Federated Learning with Contextual Modulation and Meta-Learning. CoRR (2023)
Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia
Multi-domain adaptation for regression under conditional distribution shift. Expert Syst. Appl. 224 (2023)
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson
Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters. IJCNN (2023)
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Joaquin Vanschoren, Thorsteinn S. Rögnvaldsson, KC Santosh
Advances and Challenges in Meta-Learning: A Technical Review. CoRR (2023)
Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Henrik Gadd
A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating. Expert Syst. Appl. 201 (2022)
Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia
Towards Geometry-Preserving Domain Adaptation for Fault Identification. PKDD/ECML Workshops (2) (2022)
Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen
Wisdom of the contexts: active ensemble learning for contextual anomaly detection. Data Min. Knowl. Discov. 36 (6) (2022)
Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Henrik Gadd
Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets. Neurocomputing 462 (2021)
Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen
Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection. CoRR (2021)
Liang Dai, Mohamed-Rafik Bouguelia
Testing Exchangeability With Martingale for Change-Point Detection. Int. J. Ambient Comput. Intell. 12 (2) (2021)
Lingyun Cheng, Sadhana Sundaresh, Mohamed-Rafik Bouguelia, Onur Dikmen
Interactive Anomaly Detection Based on Clustering and Online Mirror Descent. IoT Streams/ITEM@PKDD/ECML (2020)
Amira Soliman, Sarunas Girdzijauskas, Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk
Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters. PAKDD (1) (2020)
Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Natasa Nord, Henrik Gadd
Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach. Eng. Appl. Artif. Intell. 90 (2020)
Hadi Fanaee-T, Mohamed-Rafik Bouguelia, Mahmoud Rahat, Jonathan Blixt, Harpal Singh
CycleFootprint: A Fully Automated Method for Extracting Operation Cycles from Historical Raw Data of Multiple Sensors. IoT Streams/ITEM@PKDD/ECML (2020)
Rebeen Ali Hamad, Alberto Salguero Hidalgo, Mohamed-Rafik Bouguelia, Macarena Espinilla Estévez, Javier Medina Quero
Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Juhee Bae, Tove Helldin, Maria Riveiro, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Göran Falkman
Interactive Clustering: A Comprehensive Review. ACM Comput. Surv. 53 (1) (2020)
Anders Holst, Juhee Bae, Alexander Karlsson, Mohamed-Rafik Bouguelia
Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity. IDM@WSDM (2019)
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
Eliciting Structures in Data. IUI Workshops (2019)
Mohamed-Rafik Bouguelia, Alexander Karlsson, Sepideh Pashami, Slawomir Nowaczyk, Anders Holst
Mode tracking using multiple data streams. Inf. Fusion 43 (2018)
Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, Amir H. Payberah
An adaptive algorithm for anomaly and novelty detection in evolving data streams. Data Min. Knowl. Discov. 32 (6) (2018)
Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, K. C. Santosh, Antanas Verikas
Agreeing to disagree: active learning with noisy labels without crowdsourcing. Int. J. Mach. Learn. Cybern. 9 (8) (2018)
Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk
Multi-Task Representation Learning. SAIS (2017)
Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
An adaptive streaming active learning strategy based on instance weighting. Pattern Recognit. Lett. 70 (2016)
Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
Stream-based Active Learning in the Presence of Label Noise. ICPRAM (1) (2015)
Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
Identifying and Mitigating Labelling Errors in Active Learning. ICPRAM (Selected Papers) (2015)
Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
Classification active de flux de documents avec identification des nouvelles classes. CORIA-CIFED (2014)
Hani Daher, Mohamed-Rafik Bouguelia, Abdel Belaïd, Vincent Poulain D'Andecy
Multipage Administrative Document Stream Segmentation. ICPR (2014)
Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
Efficient Active Novel Class Detection for Data Stream Classification. ICPR (2014)
Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
Classification de flux de documents évolutifs avec apprentissage de classes inconnues. Document Numérique 17 (3) (2014)
Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
An Adaptive Incremental Clustering Method based on the Growing Neural Gas Algorithm. ICPRAM (2013)
Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
Document image and zone classification through incremental learning. ICIP (2013)
Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
Online Unsupervised Neural-Gas Learning Method for Infinite Data Streams. ICPRAM (Selected Papers) (2013)
Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
A Stream-Based Semi-supervised Active Learning Approach for Document Classification. ICDAR (2013)
Hien Thi Thu Truong, Claudia-Lavinia Ignat, Mohamed-Rafik Bouguelia, Pascal Molli
A contract-extended push-pull-clone model. CollaborateCom (2011)

Mohamed-Rafik Bouguelia

Publication Activity (10 Years)

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