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Mission statement

The research unit KERMIT (Knowledge-based Systems) adopts a holistic view on mathematical and computational modelling, acknowledging the needs of our modern information society with a particular focus on the applied biological sciences. It strives to keep a unique balance between theoretical developments and practical applications, a strategy that has proven particularly successful, regarding the output, visibility and recognition of the team. It plays a pioneering role by promoting existing as well as developing new methods in a broad range of disciplines shown below.


Methodological expertise

KERMIT started out in 2000 with two men and a dog as a team in fuzzy set theory and preference modelling, and quickly expanded into the fields of artificial/computational intelligence and operations research. Over the years, it has evolved into a holistic team covering the entire data-to-decision pipeline. It provides methodological expertise in the following areas:

  • image processing and computer vision (e.g. mathematical morphology, filters)
  • knowledge-based systems (e.g. bioportals, ontologies)
  • dynamical modelling (e.g. differential equations, cellular automata, individual-based models)
  • data science and machine learning (e.g. time series prediction, structured prediction, deep learning, big data)
  • management of imprecision and uncertainty (e.g. probability, possibility and fuzzy set theory; stochastic modelling, theory of copulas)
  • optimization and operations research (e.g. preference modelling, multi-criteria decision making)

News

Bernard De Baets on the cover of Mathware & Soft Computing

On the occasion of receiving the 2019 Scientific Excellence Award ​of EUSFLAT, the European Society for Fuzzy Logic and Technology, Bernard De Baets was interviewed for Mathware & Soft Computing, the official EUSFLAT magazine. The dialogue between Bernard and his former PhD student Raúl Pérez Fernández featured on the cover of the latest issue of the magazine.

The dialogue

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Publications

Most recent journal publications
Biblio logo(575) Fuzzy linear programming problems: models and solutions
R. Ghanbari, K. Ghorbani-Moghadam, N. Mahdavi-Amiri and B. De Baets
(2020) SOFT COMPUTING. 24, 10043-10073.
Biblio logo(574) Deep feature fusion through adaptive discriminative metric learning for scene recognition
C. Wang, G. Peng and B. De Baets
(2020) INFORMATION FUSION. 63, 1-12.
Biblio logo(573) Gloxinia - An open-source sensing platform to monitor the dynamic responses of plants
O. Pieters, T. De Swaef, P. Lootens, M. Stock, I. Roldán-Ruiz and F. wyffels
(2020) SENSORS. 20, 3055.
All KERMIT publications