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