Research Unit Knowledge-based Systems
Mathematical and Computational Modelling in the Information Age
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2026 (1)
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2015 (6)
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(6)
Milk fatty acids as possible biomarkers to diagnose hyperketonemia in early lactation
S. Jorjong, A.T.M. van Knegsel, J. Verwaeren, R.M. Bruckmaier, B. De Baets, B. Kemp, and V. Fievez(2015) JOURNAL OF DAIRY SCIENCE. 98, 5211-5221.
(5)
A decoy-free approach to the identification of peptides
G. Gonnelli, M. Stock, J. Verwaeren, D. Maddelein, B. De Baets, L. Martens and S. Degroeve(2015) JOURNAL OF PROTEOME RESEARCH. 14, 1792-1798.
(4)
A search grid for parameter optimization as a byproduct of model sensitivity analysis
J. Verwaeren, P. Van der Weeën and B. De Baets(2015) APPLIED MATHEMATICS AND COMPUTATION. 261, 8-27.
(3)
An interval estimator for the unmixing of mixtures with set-based source descriptions
J. Verwaeren, M. Rademaker and B. De Baets(2015) INTERNAT. J. APPROXIMATE REASONING. 60, 71-92.
(2)
Mobile monitoring for mapping spatial variation in urban air quality: development and validation of a methodology based on an extensive dataset
J. Van den Bossche, J. Peters, J. Verwaeren, D. Botteldooren, J. Theunis and B. De Baets(2015) ATMOSPHERIC ENVIRONMENT. 105, 148-161.
(1)
Accounting for image uncertainty in SAR-based flood mapping
L. Giustarini, H. Vernieuwe, J. Verwaeren, M. Chini, R. Hostache, P. Matgen, N.E.C. Verhoest and B. De Baets(2015) INTERNAT. J. APPLIED EARTH OBSERVATION AND GEOINFORMATION. 34, 70-77.
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2010 (2)
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M. Borja López-Peláez
A knowledge-based machine learning framework for pharmaceutical direct compression
28/01/2026
N. Ipek
Understanding hierarchy formation in animal groups through probabilistic modelling and computer vision
06/01/2026
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