Research Unit Knowledge-based Systems
Mathematical and Computational Modelling in the Information Age
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Journal papers
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(6)
Supervised learning algorithms for multi-class classification problems with partial class memberships
W. Waegeman, J. Verwaeren, B. Slabbinck and B. De Baets(2011) FUZZY SETS AND SYSTEMS. 184, 106-125.
(5)
Connection between primary Fusarium inoculum on gramineous weeds, crop residues and soil samples and the final population on wheat ears in Flanders
S. Landschoot, K. Audenaert, W. Waegeman, B. Pycke, B. Bekaert, B. De Baets and G. Haesaert(2011) CROP PROTECTION. 30, 1297-1305.
(4)
On the ERA representability of pairwise bipartite ranking functions
W. Waegeman and B. De Baets(2011) ARTIFICIAL INTELLIGENCE JOURNAL. 175, 1223-1250.
(3)
Effect of model formulation on the optimization of a genetic Takagi-Sugeno fuzzy system for fish habitat suitability evaluation
S. Fukuda, B. De Baets, A.M. Mouton, W. Waegeman, J. Nakajima, T. Mukai, K. Hiramatsu and N. Onikura(2011) ECOLOGICAL MODELLING. 222, 1401-1413.
(2)
Bacterial species identification from MALDI-TOF spectra through data analysis and machine learning
K. De Bruyne, B. Slabbinck, W. Waegeman, P. Vauterin, B. De Baets and P. Vandamme(2011) SYSTEMATIC AND APPLIED MICROBIOLOGY. 34, 20-29.
(1)
An experimental comparison of cross-validation techniques for estimating the area under the ROC curve
A. Airola, T. Pahikkala, W. Waegeman, B. De Baets and T. Salakoski(2011) COMPUTATIONAL STATISTICS AND DATA ANALYSIS. 55, 1828-1844.
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2022 (1)
2019 (1)
2018 (1)
2017 (1)
2016 (2)
2015 (1)
2014 (1)
2013 (1)
2012 (4)
2011 (6)
2010 (8)
2009 (4)
2008 (2)
2007 (2)
2006 (2)
2023 (1)
(6)
An exact algorithm for F-measure maximization
K. Dembczynski, W. Waegeman , W. Cheng and E. Hüllermeier(2011) ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 24.Granada, Spain, 815-824. .
(5)
Joint mode estimation in multi-label classification by chaining
K. Dembczynski, W. Waegeman and E. Hüllermeier(2011) ECML WORKSHOP ON COLLECTIVE INFERENCE AND LEARNING ON STRUCTURED DATA.Athens, Greece, 12 pages. .
(4)
ERA Ranking Representability: the missing link between ordinal regression and multi-class classification
W. Waegeman and B. De Baets(2011) SPECIAL SESSION ON ORDINAL REGRESSION.Cordoba, Spain, 1188-1193. Proc. of the International Conference on Intelligent Systems Design and Applications.
(3)
Learning Valued Relations from Data
W. Waegeman, T. Pahikkala, A. Airola, T. Salakoski, B. De Baets(2011) EUROFUSE 2011 WORKSHOP ON FUZZY METHODS FOR KNOWLEDGE-BASED SYSTEMS.Douro, Portugal, 257-268. Advances in Intelligent and Soft Computing 107.
(2)
Modelling Fish Habitat Preference with a genetic algorithm-optimized Takagi-Sugeno model based on pairwise comparison
S. Fukuda, W. Waegeman, A. Mouton and B. De Baets(2011) EUROFUSE 2011 WORKSHOP ON FUZZY METHODS FOR KNOWLEDGE-BASED SYSTEMS.Douro, Portugal, 257-268. Advances in Intelligent and Soft Computing 107.
(1)
A Discussion on The Accuracy-Interpretability Tradeoff in Modelling Fish Habitat Preference Using A Genetic Takagi-Sugeno Fuzzy System
S. Fukuda, N. Onikura, B. De Baets, W. Waegeman, A. Mouton, J. Nakajima, T. Mukai(2011) IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE.Paris, France, 81-86. .
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Awards
Date
Title
W. Waegeman
18/08/2014
2015 IEEE CIS Outstanding TFS Paper Award
27/08/2012
Best Paper Award for Willem Waegeman
17/08/2012
Second Winner Award for Willem Waegeman
Students
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PhD Students
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MSc Students
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Graduates
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PhD Students
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Title
Date
N. Dewolf
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning
25/04/2024
D. Iliadis
Automated multi-target prediction with two-branch neural networks
17/11/2023
T. Mortier
Efficient algorithms for set-valued prediction in classification
23/06/2023
M. Gasparyan
Model reduction and parameter estimation for kinetic models of biochemical reaction networks
19/01/2023
F. Mey
Integration of synthetic biology, systems biology and machine learning for the production of chitooligosaccharides in Escherichia coli
18/01/2023
J. Clauwaert
Deep learning techniques for genome processing and annotation tasks in prokaryotes
24/09/2020
P. Rubbens
Machine learning approaches for microbial flow cytometry at the single-cell and community level
24/09/2019
C. Papagiannopoulou
A data-guided insight into global climate-vegetation dynamics
05/10/2018
M. Stock
Exact and efficient algorithms for pairwise learning
21/04/2017
MSc Students
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