De Baets Bernard

bernard.debaets@ugent.be
@KERMIT, office 110.070
(+32) 9 264.59.41

linkedin logo De Baets Bernard
ORCID logo https://orcid.org/0000-0002-3876-620X
Biblio logoBiblio UGent
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Research Interests: Knowledge-based, predictive and spatio-temporal modelling​

Journal papers Conference papers

Journal papers

Biblio logo(9) Traces of ternary relations based on Bandler-Kohout compositions
L. Zedam, H. Boughambouz and B. De Baets
(2024) MATHEMATICS. 12, 952.
Biblio logo(8) A holistic approach to the composition of ternary relations
H. Boughambouz, L. Zedam and B. De Baets
(2024) COMPUTATIONAL AND APPLIED MATHEMATICS. 43, 94.
Biblio logo(7) A comparison of embedding aggregation strategies in drug-target interaction prediction
D. Iliadis, B. De Baets, T. Pahikkala and W. Waegeman
(2024) BMC BIOINFORMATICS. 25, 59.
Biblio logo(6) A simulation experiment on the probabilities of ranking reversal, tie making, and tie breaking for multiple criteria decision making methods
L. Jiang, H. Liao and B. De Baets
(2024) OMEGA. 125, 103033.
Biblio logo(5) Impedimetric biofilm characterisation with microelectrode arrays using equivalent electrical circuit features and ensemble classifiers
M. Van Haeverbeke, C. Cums, T. Vackier, D. Braeken, M. Stock, H. Steenackers and B. De Baets
(2024) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 244, 105048.
Biblio logo(4) Ultrametrics for context-aware comparison of binary images
C. Lopez-Molina, S. Iglesias-Rey and B. De Baets
(2024) INFORMATION FUSION. 103, 102101.
Biblio logo(3) Environment-dependent population dynamics emerging from dynamic energy budgets and individual-scale movement behavior
W. Barhdadi, A.J. Daly, J.M. Baetens and B. De Baets
(2024) OIKOS. 2024, e09986.
Biblio logo(2) The pseudo-inverse of a monotone function between complete lattices and its use in generating t-norms and t-conorms
Y. Dong, B. Pang and B. De Baets
(2024) FUZZY SETS AND SYSTEMS. 478, 108837.
Biblio logo(1) A critical review of common pitfalls and guidelines to effectively infer parameters of agent-based models using Approximate Bayesian Computation
L. De Visscher, B. De Baets and J.M. Baetens
(2024) ENVIRONMENTAL MODELLING AND SOFTWARE. 172, 105905.