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ORCIDMohamed-Rafik Bouguelia
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2020 – today
- 2024
[j17]Anna Vettoruzzo
, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson:
Meta-learning for efficient unsupervised domain adaptation. Neurocomputing 574: 127264 (2024)- [j16]Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson:
Multimodal meta-learning through meta-learned task representations. Neural Comput. Appl. 36(15): 8519-8529 (2024) - [j15]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): 4763-4779 (2024) - [c19]Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson:
Personalized Federated Learning with Contextual Modulation and Meta-Learning. SDM 2024: 842-850 - [e2]KC Santosh, Aaisha Makkar, Myra Conway, Ashutosh Kumar Singh, Antoine Vacavant, Anas Abou El Kalam, Mohamed-Rafik Bouguelia, Ravindra S. Hegadi:
Recent Trends in Image Processing and Pattern Recognition - 6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part I. Communications in Computer and Information Science 2026, Springer 2024, ISBN 978-3-031-53081-4 [contents] - [e1]KC Santosh, Aaisha Makkar, Myra Conway, Ashutosh Kumar Singh, Antoine Vacavant, Anas Abou El Kalam, Mohamed-Rafik Bouguelia, Ravindra S. Hegadi:
Recent Trends in Image Processing and Pattern Recognition - 6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part II. Communications in Computer and Information Science 2027, Springer 2024, ISBN 978-3-031-53084-5 [contents] - [i4]Anna Vettoruzzo, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson:
Learning to Learn without Forgetting using Attention. CoRR abs/2408.03219 (2024) - 2023
- [j14]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): 1-38 (2023) - [j13]Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia:
Multi-domain adaptation for regression under conditional distribution shift. Expert Syst. Appl. 224: 119907 (2023) - [c18]Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson:
Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters. IJCNN 2023: 1-8 - [i3]Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Joaquin Vanschoren, Thorsteinn S. Rögnvaldsson, KC Santosh:
Advances and Challenges in Meta-Learning: A Technical Review. CoRR abs/2307.04722 (2023) - [i2]Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson:
Personalized Federated Learning with Contextual Modulation and Meta-Learning. CoRR abs/2312.15191 (2023) - 2022
- [j12]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): 2410-2458 (2022) - [j11]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: 116864 (2022) - [c17]Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia:
Towards Geometry-Preserving Domain Adaptation for Fault Identification. PKDD/ECML Workshops (2) 2022: 451-460 - 2021
- [j10]Juhee Bae, Tove Helldin, Maria Riveiro, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Göran Falkman:
Interactive Clustering: A Comprehensive Review. ACM Comput. Surv. 53(1): 1:1-1:39 (2021) - [j9]Liang Dai, Mohamed-Rafik Bouguelia:
Testing Exchangeability With Martingale for Change-Point Detection. Int. J. Ambient Comput. Intell. 12(2): 1-20 (2021) - [j8]Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Henrik Gadd:
Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets. Neurocomputing 462: 591-606 (2021) - [i1]Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen:
Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection. CoRR abs/2101.11560 (2021) - 2020
- [j7]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: 103492 (2020) - [j6]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): 387-395 (2020) - [c16]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: 343-355 - [c15]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: 30-44 - [c14]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: 173-186
2010 – 2019
- 2019
- [c13]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 - [c12]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: 2:1-2:7 - 2018
- [j5]Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, Amir Hossein Payberah:
An adaptive algorithm for anomaly and novelty detection in evolving data streams. Data Min. Knowl. Discov. 32(6): 1597-1633 (2018) - [j4]Mohamed-Rafik Bouguelia, Alexander Karlsson, Sepideh Pashami, Slawomir Nowaczyk, Anders Holst:
Mode tracking using multiple data streams. Inf. Fusion 43: 33-46 (2018) - [j3]Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, KC Santosh, Antanas Verikas:
Agreeing to disagree: active learning with noisy labels without crowdsourcing. Int. J. Mach. Learn. Cybern. 9(8): 1307-1319 (2018) - 2017
- [c11]Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk:
Multi-Task Representation Learning. SAIS 2017: 137:006 - 2016
- [j2]Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd:
An adaptive streaming active learning strategy based on instance weighting. Pattern Recognit. Lett. 70: 38-44 (2016) - 2015
- [b1]Mohamed-Rafik Bouguelia:
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). University of Lorraine, Nancy, France, 2015 - [c10]Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd:
Stream-based Active Learning in the Presence of Label Noise. ICPRAM (1) 2015: 25-34 - [c9]Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd:
Identifying and Mitigating Labelling Errors in Active Learning. ICPRAM (Selected Papers) 2015: 35-51 - 2014
- [j1]Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd:
Classification de flux de documents évolutifs avec apprentissage de classes inconnues. Document Numérique 17(3): 31-51 (2014) - [c8]Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd:
Classification active de flux de documents avec identification des nouvelles classes. CORIA-CIFED 2014: 75-89 - [c7]Hani Daher, Mohamed-Rafik Bouguelia, Abdel Belaïd, Vincent Poulain D'Andecy:
Multipage Administrative Document Stream Segmentation. ICPR 2014: 966-971 - [c6]Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd:
Efficient Active Novel Class Detection for Data Stream Classification. ICPR 2014: 2826-2831 - 2013
- [c5]Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd:
A Stream-Based Semi-supervised Active Learning Approach for Document Classification. ICDAR 2013: 611-615 - [c4]Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd:
Document image and zone classification through incremental learning. ICIP 2013: 4230-4234 - [c3]Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd:
An Adaptive Incremental Clustering Method based on the Growing Neural Gas Algorithm. ICPRAM 2013: 42-49 - [c2]Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd:
Online Unsupervised Neural-Gas Learning Method for Infinite Data Streams. ICPRAM (Selected Papers) 2013: 57-70 - 2011
- [c1]Hien Thi Thu Truong, Claudia-Lavinia Ignat, Mohamed-Rafik Bouguelia, Pascal Molli:
A contract-extended push-pull-clone model. CollaborateCom 2011: 211-220
Coauthor Index
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last updated on 2024-09-14 02:02 CEST by the dblp team
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