Mohamed-Rafik Bouguelia

发表

A contract-extended push-pull-clone model

Claudia-Lavinia Ignat, Pascal Molli, Hien Thi Thu Truong, 2011, 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom).

Identifying and Mitigating Labelling Errors in Active Learning

Yolande Belaïd, Abdel Belaïd, Mohamed-Rafik Bouguelia, 2015, ICPRAM.

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

Natasa Nord, Shiraz Farouq, Stefan Byttner, 2020, Eng. Appl. Artif. Intell..

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

Mohamed-Rafik Bouguelia, Javier Medina Quero, Rebeen Ali Hamad, 2020, IEEE Journal of Biomedical and Health Informatics.

Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity

Alexander Karlsson, Mohamed-Rafik Bouguelia, Juhee Bae, 2019, WIDM'19.

Online Unsupervised Neural-Gas Learning Method for Infinite Data Streams

Yolande Belaïd, Abdel Belaïd, Mohamed-Rafik Bouguelia, 2013, ICPRAM.

Document image and zone classification through incremental learning

Yolande Belaïd, Abdel Belaïd, Mohamed-Rafik Bouguelia, 2013, 2013 IEEE International Conference on Image Processing.

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

Amir H. Payberah, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, 2018, Data Mining and Knowledge Discovery.

Classification active de flux de documents avec identification des nouvelles classes

Yolande Belaïd, Abdel Belaïd, Mohamed-Rafik Bouguelia, 2014, CORIA-CIFED.

Agreeing to disagree: active learning with noisy labels without crowdsourcing

Antanas Verikas, Slawomir Nowaczyk, K. C. Santosh, 2017, International Journal of Machine Learning and Cybernetics.

Eliciting structure in data

Göran Falkman, Slawomir Nowaczyk, Olof Görnerup, 2019 .

Unsupervised classification of slip events for planetary exploration rovers

Karl Iagnemma, Stefan Byttner, Mohamed-Rafik Bouguelia, 2017 .

Interactive Clustering

Göran Falkman, Maria Riveiro, Mohamed-Rafik Bouguelia, 2020, ACM Comput. Surv..

Multi-Task Representation Learning

Sepideh Pashami, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, 2017, SAIS.

Stream-based Active Learning in the Presence of Label Noise

Yolande Belaïd, Abdel Belaïd, Mohamed-Rafik Bouguelia, 2015, ICPRAM.

Efficient Active Novel Class Detection for Data Stream Classification

Yolande Belaïd, Abdel Belaïd, Mohamed-Rafik Bouguelia, 2014, 2014 22nd International Conference on Pattern Recognition.

Classification de flux de documents évolutifs avec apprentissage de classes inconnues

Yolande Belaïd, Abdel Belaïd, Mohamed-Rafik Bouguelia, 2014, Document Numérique.

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

Yolande Belaïd, Abdel Belaïd, Mohamed-Rafik Bouguelia, 2013, ICPRAM.

Mode tracking using multiple data streams

Sepideh Pashami, Slawomir Nowaczyk, Alexander Karlsson, 2018, Inf. Fusion.

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

Yolande Belaïd, Abdel Belaïd, Mohamed-Rafik Bouguelia, 2013, 2013 12th International Conference on Document Analysis and Recognition.

An adaptive streaming active learning strategy based on instance weighting

Yolande Belaïd, Abdel Belaïd, Mohamed-Rafik Bouguelia, 2016, Pattern Recognit. Lett..

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, Mohamed-Rafik Bouguelia, 2015 .

Eliciting Structures in Data

Göran Falkman, Alan Said, Ahmad Al-Shishtawy, 2019, IUI Workshops.

Multipage Administrative Document Stream Segmentation

Abdel Belaïd, Vincent Poulain D'Andecy, Hani Daher, 2014, 2014 22nd International Conference on Pattern Recognition.

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

Onur Dikmen, Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, 2021, Data Mining and Knowledge Discovery.

Testing Exchangeability With Martingale for Change-Point Detection

Mohamed-Rafik Bouguelia, Liang Dai, Mohamed-Rafik Bouguelia, 2018, Int. J. Ambient Comput. Intell..

Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets

Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, 2021, Neurocomputing.

Personalized recommendation: an enhanced hybrid collaborative filtering

K. C. Santosh, Mohamed-Rafik Bouguelia, Parivash Pirasteh, 2021, Advances in Computational Intelligence.