Mohamed-Rafik Bouguelia


Mohamed-Rafik Bouguelia

Mohamed-Rafik Bouguelia, Assistant Professor, PhD

Family Name: Bouguelia
Given Name: Mohamed-Rafik
Role: Assistant Professor
Title: PhD
Phone: +46728368919
Cell Phone: +46728368919

Research Projects

Projects: In4Uptime, SeMI, BIDAF, SA3L - Situation Awareness for Ambient Assisted Living


   Examiner: Learning Systems (7.5 credits)Introduction to Linux and Python (7.5 credits)

Videos of my machine learning course(s) are also available at:


See my Google Scholar publication list by clicking here

The following is an automatically retrieved incomplete list of publications. Please click here for a more complete list.

Journal publications registered in DiVA

Mohamed-Rafik Bouguelia, Sławomir Nowaczyk, Amir H. Payberah (2018). An adaptive algorithm for anomaly and novelty detection in evolving data streams. Data mining and knowledge discovery. 32(6), pp. 1597-1633

Mohamed-Rafik Bouguelia, Alexander Karlsson, Sepideh Pashami, Sławomir Nowaczyk, Anders Holst (2018). Mode tracking using multiple data streams. Information Fusion. 43, pp. 33-46

Mohamed-Rafik Bouguelia, Sławomir Nowaczyk, K. C. Santosh, Antanas Verikas (2017). Agreeing to disagree : active learning with noisy labels without crowdsourcing. International Journal of Machine Learning and Cybernetics.

Mohamed-Rafik Bouguelia, Ramon Gonzalez, Karl Iagnemma, Stefan Byttner (2017). Unsupervised classification of slip events for planetary exploration rovers. Journal of terramechanics. 73C, pp. 95-106

Conference publications registered in DiVA

Anders Holst, Alexander Karlsson, Juhee Bae, Mohamed-Rafik Bouguelia (2019). Interactive clustering for exploring multiple data streams at different time scales and granularity. 1st Workshop on Interactive Data Mining, WIDM 2019, co-located with 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, 15 February 2019.

Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia (2018). On monitoring heat-pumps with a group-based conformal anomaly detection approach. 2018 Internal Conference on Data Science (ICDATA’18), Las Vegas, NV, USA.

Mohamed-Rafik Bouguelia, Sepideh Pashami, Sławomir Nowaczyk (2017). Multi-Task Representation Learning. 30th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS).