Researcher
Bernard De Baets
- Disciplines:Machine learning and decision making, Bio-informatics, Neural, evolutionary and fuzzy computation, Operations research and mathematical programming
Affiliations
- Department of Data analysis and mathematical modelling (Department)
Responsible
From1 Jan 2018 → Today - Department of Data analysis and mathematical modelling (Department)
Member
From1 Jan 2018 → Today - Department of Data analysis and mathematical modelling (Department)
Member
From1 Jan 2018 → Today - Department of Mathematical Modelling, Statistics and Bio-informatics (Department)
Responsible
From1 Oct 2014 → 31 Dec 2017 - Department of Mathematical Modelling, Statistics and Bio-informatics (Department)
Member
From1 Oct 2014 → 31 Dec 2017 - Department of Mathematical Modelling, Statistics and Bio-informatics (Department)
Member
From1 Oct 1999 → 31 Dec 2017 - Department of Applied Mathematics, Computer Science and Statistics (Department)
Member
From1 Jan 1993 → 30 Sep 1999
Publications
1 - 10 of 416
- Environment‐dependent population dynamics emerging from dynamic energy budgets and individual‐scale movement behaviour(2024)
Authors: Wissam Barhdadi, Aisling Daly, Jan Baetens, Bernard De Baets
- A simulation study on the probabilities of rank reversal, tie making, and tie breaking for multiple criteria decision making methods(2024)
Authors: Lisheng Jiang, Huchang Liao, Bernard De Baets
- The pseudo-inverse of a monotone function between complete lattices and its use in generating t-norms and t-conorms(2024)
Authors: Yanyan Dong, Bin Pang, Bernard De Baets
- A comparison of embedding aggregation strategies in drug-target interaction prediction(2024)
Authors: Dimitrios Iliadis, Bernard De Baets, Tapio Pahikkala, Willem Waegeman
- Impedimetric biofilm characterization with microelectrode arrays using equivalent electrical circuit features and ensemble classifiers(2024)
Authors: Maxime Van Haeverbeke, Charlotte Cums, Thijs Vackier, Dries Braeken, Michiel Stock, Hans Steenackers, Bernard De Baets
- A critical review of common pitfalls and guidelines to effectively infer parameters of agent-based models using Approximate Bayesian Computation(2024)
Authors: Lander De Visscher, Bernard De Baets, Jan Baetens
- Ultrametrics for context-aware comparison of binary images(2024)
Authors: C. Lopez-Molina, S. Iglesias-Rey, Bernard De Baets
- Fuzzy relational Galois connections between fuzzy transitive digraphs(2023)
Authors: I.P. Cabrera, P. Cordero, E. Muñoz-Velasco, M. Ojeda-Aciego, Bernard De Baets
- A deep recursive multi-scale feature fusion network for image super-resolution?(2023)
Authors: Feiqiang Liu, Xiaomin Yang, Bernard De Baets
- Solving the Kemeny ranking aggregation problem with quantum optimization algorithms(2023)
Authors: Elías F. Combarro, Raul Perez Fernandez, José Ranilla, Bernard De Baets
Pages: 17065 - 17081