Mohamed-Rafik Bouguelia


Mohamed-Rafik Bouguelia

Mohamed-Rafik Bouguelia, Associate Professor, PhD

Family Name: Bouguelia
Given Name: Mohamed-Rafik
Role: Associate 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)Supervised Machine Learning (7.5 credits)Linux Administration (7.5 credits)

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

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.

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).