Research Unit Knowledge-based Systems
Mathematical and Computational Modelling in the Information Age
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(7)
Randomized lasso links microbial taxa with aquatic functional groups inferred from flow cytometry
P. Rubbens, M. Schmidt, R. Props, B. Biddanda, N. Boon, W. Waegeman and V. Denef(2019) MSYSTEMS. 4, 00093-19.
(6)
A protocol for automated timber species identification using metabolome profiling
V. Deklerck, T. Mortier, N. Goeders, R.B. Cody, W. Waegeman, E. Espinoza, J. Van Acker, J. Van den Bulcke and H. Beeckman(2019) WOOD SCIENCE AND TECHNOLOGY. 53, 953-965.
(5)
A hospital wide predictive model for unplanned readmission using hierarchical ICD data
M. Deschepper, K. Eeckloo, D. Vogelaers and W. Waegeman(2019) COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. 173, 177-183.
(4)
Learning single-cell distances from cytometry data
B. Nguyen, P. Rubbens, F.-M. Kerckhof, N. Boon, B. De Baets and W. Waegeman(2019) CYTOMETRY PART A. 95, 782-791.
(3)
Coculturing bacteria leads to reduced phenotypic heterogeneities
J. Heyse, B. Buysschaert, R. Props, P. Rubbens, A. Skirtach, W. Waegeman and N. Boon(2019) APPLIED AND ENVIRONMENTAL MICROBIOLOGY. 85, e02814-18.
(2)
DeepRibo: a neural network for the precise gene annotation of prokaryotes by combining ribosome profiling signal and binding site patterns
J. Clauwaert, G. Menschaert and W. Waegeman(2019) NUCLEIC ACIDS RESEARCH. 47, e36.
(1)
Multi-target prediction: a unifying view on problems and methods
W. Waegeman, K. Dembczyński and E. Hüllermeier(2019) DATA MINING AND KNOWLEDGE DISCOVERY. 33, 293-324.
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2012 (4)
2011 (6)
2010 (8)
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2006 (2)
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(1)
Investigating time series classification techniques for rapid pathogen identification with single-cell MALDI-TOF mass spectrum data
C. Papagiannopoulou, E. Parchen and W. Waegeman(2019) JOINT EUROPEAN CONFERENCE ON MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, 2019.Würzburg, Germany, 15. .
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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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Title
Date
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