De Baets Bernard

bernard.debaets@ugent.be
@KERMIT, office 110.070
(+32) 9 264.59.41

linkedin logo De Baets Bernard
ORCID logo https://orcid.org/0000-0002-3876-620X
Biblio logoBiblio UGent
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Research Interests: Knowledge-based, predictive and spatio-temporal modelling​

Journal papers Conference papers

Journal papers

Biblio logo(27) Wetland vegetation distribution modelling for the identification of constraining environmental variables
J. Peters, N.E.C. Verhoest, R. Samson, P. Boeckx and B. De Baets
(2008) LANDSCAPE ECOLOGY. 23, 1049-1065.
Biblio logo(26) Learning layered ranking functions with structured Support Vector Machines
W. Waegeman, B. De Baets and L. Boullart
(2008) NEURAL NETWORKS. 21, 1511-1523.
Biblio logo(25) New operations for informative combination of two partial order relations with illustrations on pollution data
M. Rademaker, B. De Baets and H. De Meyer
(2008) COMBINATORIAL CHEMISTRY AND HIGH THROUGHPUT SCREENING. 11, 745-755.
Biblio logo(24) A hitchhiker's guide to poset ranking
K. De Loof, B. De Baets, H. De Meyer and R. Brüggemann
(2008) COMBINATORIAL CHEMISTRY AND HIGH THROUGHPUT SCREENING. 11, 734-744.
Biblio logo(23) Monotone Mamdani-Assilian models under Mean of Maxima defuzzification
E. Van Broekhoven and B. De Baets
(2008) FUZZY SETS AND SYSTEMS. 159, 2819-2844.
Biblio logo(22) Qualitative valuation of environmental criteria through a group consensus based on stochastic dominance
K. Zendehdel, M. Rademaker, B. De Baets and G. Van Huylenbroeck
(2008) JOURNAL OF ECOLOGICAL ECONOMICS. 67, 253-264.
Biblio logo(21) Unravelling the output uncertainty of a tree water flow and storage model using several global sensitivity analysis methods
D.J.W. De Pauw, K. Steppe and B. De Baets
(2008) BIOSYSTEMS ENGINEERING. 101, 87-99.
Biblio logo(20) A probabilistic framework for the design of instance-based supervised ranking algorithms in an ordinal setting
S. Lievens, B. De Baets and K. Cao-Van
(2008) ANNALS OF OPERATIONS RESEARCH. 163, 115-142.
Biblio logo(19) On the random generation of monotone data sets
K. De Loof, B. De Baets and H. De Meyer
(2008) INFORMATION PROCESSING LETTERS. 107, 216-220.
Biblio logo(18) Classifying carpets based on laser scanner data
W. Waegeman, J. Cottyn, B. Wyns, L. Boullart, B. De Baets, L. Van Langenhove and J. Detand
(2008) ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 21, 907-918.
Biblio logo(17) A generalization of the Mulholland inequality for continuous Archimedean t-norms
S. Saminger-Platz, B. De Baets and H. De Meyer
(2008) J. MATH. ANAL. APPL.. 345, 607-614.
Biblio logo(16) On the compositional characterization of complete fuzzy pre-orders
S. Diaz, B. De Baets and S. Montes
(2008) FUZZY SETS AND SYSTEMS. 159, 2221-2239.
Biblio logo(15) Laying the foundation for a Genomic Rosetta Stone: creating information hubs through the use of consensus identifiers
B. Van Brabant, T. Gray, B. Verslyppe, N. Kyrpides, K. Dietrich, F.O. Glöckner, J. Cole, R. Farris, L. Schriml, P. De Vos, B. De Baets, D. Field and P. Dawyndt
(2008) OMICS: A JOURNAL OF INTEGRATIVE BIOLOGY. 12, 123-127.
Biblio logo(14) Genus-wide Bacillus species identification through proper artificial neural network experiments on fatty acid profiles
B. Slabbinck, B. De Baets, P. Dawyndt and P. De Vos
(2008) ANTONIE VAN LEEUWENHOEK INTERN. J. GENERAL AND MOLECULAR MICROBIOLOGY. 94, 187-198.
Biblio logo(13) Effect of lactation stage on the odd- and branched-chain milk FA of dairy cattle under grazing and indoor conditions
M. Craninx, A. Steen, H. Van Laar, T. Van Nespen, J. Martín-Tereso, B. De Baets and V. Fievez
(2008) J. DAIRY SCIENCE. 91, 2662-2677.
Biblio logo(12) Characterizing trees in concept lattices
R. Bêlohlávek, B. De Baets, J. Outrata and V. Vychodil
(2008) INTERNAT. J. UNCERTAINTY, FUZZINESS AND KNOWLEDGE-BASED SYSTEMS. 16, 1-15.
Biblio logo(11) Marker-based screening of maize inbred lines using Support Vector Machine regression
S. Maenhout, B. De Baets, G. Haesaert and E. Van Bockstaele
(2008) EUPHYTICA. 161, 123-131.
Biblio logo(10) Modelling groundwater-dependent vegetation patterns using ensemble learning
J. Peters, B. De Baets, R. Samson and N.E.C. Verhoest
(2008) HYDROLOGY AND EARTH SYSTEMS SCIENCES. 12, 603-613.
Biblio logo(9) ONTO-PERL: An API supporting the development and analysis of bio-ontologies
E. Antezana, M. Egaña, B. De Baets, M. Kuiper and V. Mironov
(2008) BIOINFORMATICS. 24, 885-887.
Biblio logo(8) TaxonGap: a visualization tool for intra- and inter-species variation among individual biomarkers
B. Slabbinck, P. Dawyndt, M. Martens, P. De Vos and B. De Baets
(2008) BIOINFORMATICS. 24, 866-867.
Biblio logo(7) On the scalability of ordered multi-class ROC analysis
W. Waegeman, B. De Baets and L. Boullart
(2008) COMPUTATIONAL STATISTICS AND DATA ANALYSIS. 52, 3371-3388.
Biblio logo(6) How potential users of music search and retrieval systems describe the semantic quality of music
M. Lesaffre, L. De Voogdt, M. Leman, B. De Baets, H. De Meyer and J.-P. Martens
(2008) J. AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY. 59, 695-707.
Biblio logo(5) Identifiability analysis and improvement of a water flow and storage model
D.J.W. De Pauw, K. Steppe and B. De Baets
(2008) MATHEMATICAL BIOSCIENCES. 211, 314-332.
Biblio logo(4) Artificial neural network models of the rumen fermentation pattern in dairy cattle
M. Craninx, V. Fievez, B. Vlaeminck and B. De Baets
(2008) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 60, 226-238.
Biblio logo(3) On the cycle-transitive comparison of artificially coupled random variables
B. De Baets and H. De Meyer
(2008) INTERNAT. J. APPROXIMATE REASONING. 47, 306-322.
Biblio logo(2) ROC analysis in ordinal regression learning
W. Waegeman, B. De Baets and L. Boullart
(2008) PATTERN RECOGNITION LETTERS. 29, 1-9.
Biblio logo(1) Fitness inheritance in multiple objective evolutionary algorithms: a test bench and real-world evaluation
E.I. Ducheyne, B. De Baets and R.R. De Wulf
(2008) APPLIED SOFT COMPUTING. 8, 337-349.

Conference papers

(2) Integrating Expert Knowledge into Kernel-based Preference Models
W. Waegeman, B. De Baets and L. Boullart
(2008) ECML WORKSHOP ON PREFERENCE LEARNING.
Antwerp, Belgium, 14 pages.
(1) A Graph-theoretic Approach for Reducing One-versus-one Multi-class Classification to Ranking
W. Waegeman, B. De Baets and L. Boullart
(2008) INTERNATIONAL WORKSHOP ON MINING AND LEARNING WITH GRAPHS.
Helsinki, Finland, 3 pages.