Research Unit Knowledge-based Systems
Mathematical and Computational Modelling in the Information Age
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(2)
Kernel-based learning methods for preference aggregation
W. Waegeman, B. De Baets and L. Boullart(2009) 4OR. 7, 169-189.
(1)
Learning to Rank: a ROC-based Graph-Theoretic Approach
W. Waegeman(2009) 4OR. 7, 399-402.
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2023 (1)
(4)
Learning Partial Class Memberships in Multi-Class Classification Problems: a Probabilistic Approach
W. Waegeman and B. De Baets(2009) EUROFUSE WORKSHOP ON PREFERENCE HANDLING AND DECISION SUPPORT.Pamplona, Spain, 6 pages. .
(3)
A Comparison of AUC Estimators in Small-Sample Studies
A. Airola, T. Pahikkala, W. Waegeman, B. De Baets and T. Salakoski(2009) 3RD WORKSHOP ON MACHINE LEARNING IN SYSTEMS BIOLOGY.Ljubljana, Slovenia, 3-13. MLR Workshop and Conference Proceedings 8.
(2)
From Ranking to Intransitive Preference Learning: Rock-Paper-Scissors and Beyond
T. Pahikkala, W. Waegeman, E. Tsivtsivadze, T. Salakoski and B. De Baets(2009) ECML 2009 WORKSHOP ON PREFERENCE LEARNING.Bled, Slovenia, 16 pages. .
(1)
Learning Intransitive Reciprocal Relations with Regularized Least-Squares
T. Pahikkala, W. Waegeman, E. Tsivtsivadze, T. Salakoski and B. De Baets(2009) BENELEARN 2008 BENELUX CONFERENCE ON MACHINE LEARNING.Tilburg, The Netherlands, 8 pages. .
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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
Name
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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