Bernard DE BAETS

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
ResearcherIDResearcherID
Google Scholar logoGoogle Scholar
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Research Interests: Knowledge-based, predictive and spatio-temporal modelling​

Journal papers Conference papers

Journal papers

Biblio logo(26) The impact of resource dependence of the mechanisms of life on the spatial population dynamics of an in silico microbial community
A.J. Daly, J.M. Baetens and B. De Baets
(2016) CHAOS. 26, 123121.
Biblio logo(25) On the compatibility of a crisp relation with a fuzzy equivalence relation
B. De Baets, H. Bouremel and L. Zedam
(2016) IRANIAN JOURNAL OF FUZZY SYSTEMS. 13, 15-31.
Biblio logo(24) Stochastic simulation of precipitation-consistent daily reference evapotranspiration using vine copulas
M.T. Pham, H. Vernieuwe, B. De Baets and N.E.C. Verhoest
(2016) STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 30, 2197-2214.
Biblio logo(23) Large-scale distance metric learning for k-nearest neighbours regression
B. Nguyen, C. Morell and B. De Baets
(2016) NEUROCOMPUTING. 214, 805-814.
Biblio logo(22) Spatially explicit modelling of the Belgian major endurance event `The 100 km Dodentocht'
S. Van Nieuland, J.M. Baetens and B. De Baets
(2016) PLOS ONE. 11, e0164981.
Biblio logo(21) Focal copulas: a common framework for various classes of semilinear copulas
T. Jwaid, B. De Baets and H. De Meyer
(2016) MEDITERRANEAN JOURNAL OF MATHEMATICS. 13, 2911-2934.
Biblio logo(20) The scorix: a popular representation of votes revisited
R. Pérez-Fernández, M. Rademaker and B. De Baets
(2016) INTERNAT. J. APPROXIMATE REASONING. 78, 241-251.
Biblio logo(19) 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.
Biblio logo(18) Classification of cellular automata through texture analysis
N. Rosa da Silva, J.M. Baetens, M.W. da Silva Oliveira, B. De Baets and O.M. Bruno
(2016) INFORMATION SCIENCES. 370-371, 33-49.
Biblio logo(17) Opportunistic mobile air pollution monitoring: a case study with city wardens in Antwerp
J. Van den Bossche, J. Theunis, B. Elen, J. Peters, D. Botteldooren and B. De Baets
(2016) ATMOSPHERIC ENVIRONMENT. 141, 408-421.
Biblio logo(16) Multivariate upper semi-linear copulas
J.J. Arias García, H. De Meyer and B. De Baets
(2016) INFORMATION SCIENCES. 360, 289-300.
Biblio logo(15) Needles: large-scale genomic prediction with marker-by-environment interaction
A. De Coninck, B. De Baets, D. Kourounis, F. Verbosio, O. Schenk, S. Maenhout and J. Fostier
(2016) GENETICS. 203, 543-555.
Biblio logo(14) A clone-based representation of the fuzzy tolerance or equivalence relations a strict order relation is compatible with
B. De Baets, L. Zedam and A. Kheniche
(2016) FUZZY SETS AND SYSTEMS. 296, 35-50.
Biblio logo(13) Computation and visualisation of the accuracy of old maps using differential distortion analysis
M. Claeys Boùùaert, B. De Baets, S. Vervust, T. Neutens, P. De Maeyer and N. Van de Weghe
(2016) INTERNAT. J. OF GEOGRAPHICAL INFORMATION SCIENCE. 30, 1255-1280.
Biblio logo(12) Separability criteria for the evaluation of boundary detection benchmarks
C. Lopez-Molina, H. Bustince and B. De Baets
(2016) IEEE TRANSACTIONS ON IMAGE PROCESSING. 25, 1047-1055.
Biblio logo(11) Representations of votes facilitating monotonicity-based ranking rules: from votrix to votex
R. Pérez-Fernández, M. Rademaker, P. Alonso, I. Díaz, S. Montes and B. De Baets
(2016) INTERNAT. J. APPROXIMATE REASONING. 73, 87-107.
Biblio logo(10) In silico substrate dependence increases community productivity, threatens biodiversity
A.J. Daly, J.M. Baetens and B. De Baets
(2016) PHYSICAL REVIEW E. 93, 042414.
Biblio logo(9) Twofold consensus for boundary detection ground truth
C. Lopez-Molina, B. De Baets and H. Bustince
(2016) INTERNAT. J. KNOWLEDGE-BASED SYSTEMS. 98, 162-171.
Biblio logo(8) The potential of milk fatty acids as biomarkers for methane emissions in dairy cows: a quantitative multi-study survey of literature data
J. Castro-Montoya, S. De Campeneere, B. De Baets and V. Fievez
(2016) JOURNAL OF AGRICULTURAL SCIENCE. 154, 515-531.
Biblio logo(7) A historical account of types of fuzzy sets and their relationships
H. Bustince, E. Barrenechea, M. Pagola, J. Fernandez, Z.S. Xu, B. Bedregal, J. Montero, H. Hagras, F. Herrera and B. De Baets
(2016) IEEE TRANSACTIONS ON FUZZY SYSTEMS. 24, 179-194.
Biblio logo(6) Data prevalence matters when assessing species' responses using data-driven species distribution models
S. Fukuda and B. De Baets
(2016) ECOLOGICAL INFORMATICS. 32, 69-78.
Biblio logo(5) 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.
Biblio logo(4) Compatibility of fuzzy relations
A. Kheniche, B. De Baets and L. Zedam
(2016) INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS. 31, 240-256.
Biblio logo(3) Prediction of specialty coffee cup quality based on near infrared spectra of green coffee beans
K. Tolessa, M. Rademaker, B. De Baets and P. Boeckx
(2016) TALANTA. 150, 367-374.
Biblio logo(2) Multivariate Bertino copulas
J.J. Arias García, H. De Meyer and B. De Baets
(2016) JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS. 434, 1346-1364.
Biblio logo(1) A review of the relationships between implication, negation and aggregation functions from the point of view of material implication
A. Pradera, G. Beliakov, H. Bustince and B. De Baets
(2016) INFORMATION SCIENCES. 329, 357-380.