Research Unit Knowledge-based Systems
Mathematical and Computational Modelling in the Information Age
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(2)
Exact and efficient top-
K
inference for multi-target prediction by querying separable linear relational models
M. Stock, K. Dembczyński, B. De Baets and W. Waegeman(2016) DATA MINING AND KNOWLEDGE DISCOVERY. 30, 1370-1394.
(1)
Data-driven recipe completion using machine learning methods
M. De Clercq, M. Stock, B. De Baets and W. Waegeman(2016) TRENDS IN FOOD SCIENCE & TECHNOLOGY. 49, 1-13.
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2018 (1)
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2012 (4)
2011 (6)
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(2)
Consistency of Probabilistic Classifier Trees
K. Dembczyński, W. Kotłowski, W. Waegeman, R. Busa-Fekete, E. Hüllermeier(2016) JOINT EUROPEAN CONFERENCE ON MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES.Riva del Garda, Italy, 16 pages. .
(1)
Discovering relationships in climate-vegetation dynamics using satellite data
C. Papagiannopoulou, D. Miralles, M. Depoorter, N. Verhoest, W. Dorigo, W. Waegeman(2016) PROCEEDINGS OF AALTD 2016: SECOND ECML/PKDD INTERNATIONAL WORKSHOP ON ADVANCED ANALYTICS AND LEARNING ON TEMPORAL DATA.Riva del Garda, Italy, 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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MSc
PhD Students
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MSc Students
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Graduates
Phd
MSc
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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Title
Date
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