KERMIT -- Research Unit Knowledge-based Systems

Journal Papers (ISI)

Authors

All
B. De Baets (38)
B. Wolnik (4)
M. Stock (3)
W. Bolt (2)
A.J. Daly (2)
L. Zedam (2)
M. Dembowski (1)
L. Kuuliala (1)

(48) X-ray microtomography and linear discriminant analysis enable extraction of embolism-related acoustic emissions
N.J.F. De Baerdemaker, M. Stock, J. Van Den Bulcke, B. De Baets, L. Van Hoorebeke and K. Steppe
(2019) PLANT METHODS. 15, 153.

(47) 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.

(46) Guiding mineralization co-culture discovery using Bayesian optimization
A.J. Daly, M. Stock, J.M. Baetens and B. De Baets
(2019) ENVIRONMENTAL SCIENCE AND TECHNOLOGY. 53, 14459-14469.

(45) A statistical approach to the identification of Diploid Cellular Automata based on incomplete observations
W. Bolt, A. Bolt, B. Wolnik, J.M. Baetens and B. De Baets
(2019) BIOSYSTEMS. 186, 103976.

(44) 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.

(43) 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.

(42) Lattice-based versus lattice-free individual-based models: impact on coexistence in competitive communities
A.J. Daly, W. Quaghebeur, T.M.A. Depraetere, J.M. Baetens and B. De Baets
(2019) NATURAL COMPUTING. 18, 855-864.

(41) Contour detection based on anisotropic edge strength and hierarchical superpixel contrast
G. Wang and B. De Baets
(2019) SIGNAL, IMAGE AND VIDEO PROCESSING. 13, 1657-1665.

(40) Possibilistic compositions and state functions: application to the order promising process for perishables
H. Grillo, M.M.E. Alemany, A. Ortiz and B. De Baets
(2019) INTERNAT. JOURNAL OF PRODUCTION RESEARCH. 57, 7006-7031.

(39) EcologicalNetworks.jl: analysing ecological networks of species interactions
T. Poisot, Z. Bélisle, L. Hoebeke, M. Stock and P. Szefer
(2019) ECOGRAPHY. 42, 1850-1861.

(38) The sample monomode and an associated test for discrete monomodality
R. Pérez-Fernández and B. De Baets
(2019) COMMUNICATIONS IN STATISTICS: THEORY AND METHODS. 48, 5419-5426.

(37) Kernel-based distance metric learning for supervised k-means clustering
B. Nguyen and B. De Baets
(2019) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 30, 3084-3095.

(36) Multiscale edge detection using first-order derivative of anisotropic Gaussian kernels
G. Wang, C. Lopez-Molina and B. De Baets
(2019) JOURNAL OF MATHEMATICAL IMAGING AND VISION. 61, 1096-1111.

(35) Real-time prediction of influenza outbreaks in Belgium
G.H.B. Miranda, J.M. Baetens, N. Bossuyt, O.M. Bruno and B. De Baets
(2019) EPIDEMICS. 28, 100341.

(34) Analysis of spatio-temporal fungal growth dynamics under different environmental conditions
L. De Ligne, G. Vidal-Diez de Ulzurrun, J.M. Baetens, J. Van Den Bulcke, J. Van Acker and B. De Baets
(2019) IMA FUNGUS. 10, 7.

(33) All binary number-conserving cellular automata based on adjacent cells are intrinsically one-dimensional
B. Wolnik and B. De Baets
(2019) PHYSICAL REVIEW E. 100, 022126.

(32) The impact of hurricanes on biogeochemical indicators of the Exclusive Economic Zone of Cuba
D. Avila-Alonso, J.M. Baetens, R. Cardenas and B. De Baets
(2019) REMOTE SENSING OF ENVIRONMENT. 233, 111339.

(31) On the compatibility of a ternary relation with a binary fuzzy relation
O. Barkat, L. Zedam and B. De Baets
(2019) INTERNAT. J. UNCERTAINTY, FUZZINESS AND KNOWLEDGE-BASED SYSTEMS. 27, 595-612.

(30) 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.

(29) A two-layer representation of four-state reversible number-conserving 2D cellular automata
A. Dzedzej, B. Wolnik, M. Dziemiańczuk, A. Nenca, J.M. Baetens and B. De Baets
(2019) JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT. 2019, 073202.

(28) On the role of monometrics in penalty-based data aggregation
R. Pérez-Fernández and B. De Baets
(2019) IEEE TRANSACTIONS ON FUZZY SYSTEMS. 27, 1456-1468.

(27) Cyt-Geist: Current and Future Challenges in Cytometry: Reports of the CYTO 2018 Conference Workshops
K. Czechowska, J. Lannigan, L. Wang, J. Arcidiacono, T.M. Ashhurst, R.M. Barnard, S. Bauer, C. Bispo, D.L. Bonilla, R.R. Brinkman, M. Cabanski, H. Chang, L. Chakrabarti, G. Chojnowski, B. Cotleur, H. Degheidy, G.V. Dela Cruz, S. Eck, J. Elliott, R. Errington, A. Filby, D. Gagnon, R. Gardner, C. Green, M. Gregory, C.J. Groves, C. Hall, F. Hammes, M. Hedrick, R. Hoffman, J. Icha, J. Ivaska, D.C. Jenner, D. Jones, F-M. Kerckhof, C. Kukat, D. Lanham, S. Leavesley, M. Lee, S. Lin-Gibson, V. Litwin, Y. Liu, J. Molloy, J.S. Moore, S. Müller, J. Nedbal, R. Niesner, N. Nitta, B. Ohlsson-Wilhelm, N.E. Paul, S. Perfetto, Z. Portat, R. Props, S. Radtke, R. Rayanki, A. Rieger, S. Rogers, P. Rubbens, R. Salomon, M. Schiemann, J. Sharpe, S.U. Sonder, J.J. Stewart, Y. Sun, H. Ulrich, G. Van Isterdael, A. Vitaliti, C. van Vreden, M. Weber, J. Zimmermann, G. Vacca, P. Wallace and A. Tárnok
(2019) CYTOMETRY PART A. 95, 598-644.

(26) Spoilage evaluation of raw Atlantic salmon (Salmo salar) stored under modified atmospheres by multivariate statistics and augmented ordinal regression
L. Kuuliala, M. Sader, A. Solimeo, R. Pérez-Fernández, M. Vanderroost, B. De Baets, B. De Meulenaer, P. Ragaert and F. Devlieghere
(2019) INTERNAT. J. OF FOOD MICROBIOLOGY. 303, 46-57.

(25) A taxonomy of monotonicity properties for the aggregation of multidimensional data
R. Pérez-Fernández, B. De Baets and M. Gagolewski
(2019) INFORMATION FUSION. 52, 322-334.

(24) Topologies induced by the representation of a betweenness relation as a family of order relations
H. Zhang, R. Pérez-Fernández and B. De Baets
(2019) TOPOLOGY AND ITS APPLICATIONS. 258, 100-114.

(23) An ontology to standardize nutritional epidemiologic research output: from paper-based standards to linked content
C. Yang, H. Ambayo, B. De Baets, P. Kolsteren, N. Thanintorn, D. Hawwash, J. Bouwman, A. Bronselaer, F. Pattyn and C. Lachat
(2019) NUTRIENTS. 11, 1300.

(22) Cutting levels of the winning probability relation of random variables pairwisely coupled by a same Frank copula
B. De Baets and H. De Meyer
(2019) INTERNAT. J. APPROXIMATE REASONING. 112, 22-36.

(21) 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.

(20) 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.

(19) A validated expert-based habitat suitability assessment for Eagle Owls in Limburg, the Netherlands
S. Van Nieuland, J.M. Baetens, S. Vriens, R. Janssen and B. De Baets
(2019) EUROPEAN JOURNAL OF WILDLIFE RESEARCH. 65, 48.

(18) Two-dimensional affine continuous cellular automata solving the relaxed density classification problem
M. Dembowski, B. Wolnik, W. Bolt, J.M. Baetens and B. De Baets
(2019) JOURNAL OF CELLULAR AUTOMATA. 14, 191-212.

(17) Inter- and intrafield distribution of cereal leaf beetle species (Coleoptera: Chrysomelidae) in Belgian winter wheat
E. Van de Vijver, S. Landschoot, M. Van Roie, F. Temmerman, J. Dillen, K. De Ceuleners, G. Smagghe, B. De Baets and G. Haesaert
(2019) ENVIRONMENTAL ENTOMOLOGY. 48, 276-283.

(16) The acclamation consensus state and an associated ranking rule
R. Pérez-Fernández and B. De Baets
(2019) INTERNAT. J. OF INTELLIGENT SYSTEMS. 34, 1223-1247.

(15) Assessing the potential of the Qualitative Trajectory Calculus to detect gait pathologies: A case study of children with developmental coordination disorder
J. Beernaerts, R. Derie, B. Nguyen, P. Vansteenkiste, B. De Baets, F.J.A. Deconinck, M. Lenoir, D. De Clercq and N. Van de Weghe
(2019) COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING. 22, 64-70.

(14) Predicting children’s food choice using check-all-that-apply questions
J. Verwaeren, X. Gellynck, S. Lagast and J. Schouteten
(2019) JOURNAL OF SENSORY STUDIES. 34, e12471.

(13) 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.

(12) Noise-robust line detection using normalized and adaptive second-order anisotropic Gaussian kernels
G. Wang, C. Lopez-Molina, G. Vidal-Diez De Ulzurrun and B. De Baets
(2019) SIGNAL PROCESSING. 160, 252-262.

(11) Multivariate winning probabilities
I. Montes, S. Montes and B. De Baets
(2019) FUZZY SETS AND SYSTEMS. 362, 129-143.

(10) Left- and right-compatibility of order relations and fuzzy tolerance relations
L. Zedam, H. Bouremel and B. De Baets
(2019) FUZZY SETS AND SYSTEMS. 360, 65-81.

(9) Comparing a standardized to a product-specific emoji list for evaluating food products by children
J. Schouteten, J. Verwaeren, X. Gellynck and V.L. Almli
(2019) FOOD QUALITY AND PREFERENCE. 72, 86–97.

(8) Integrating expert and novice evaluations for augmenting ordinal regression models
M. Sader, J. Verwaeren, R. Pérez-Fernández and B. De Baets
(2019) INFORMATION FUSION. 51, 1-9.

(7) Rift Valley fever: an open-source transmission dynamics simulation model
R. Sumaye, F. Jansen, D. Berkvens, B. De Baets, E. Geubels, E. Thiry and M. Krit
(2019) PLOS ONE. 14, e0209929.

(6) The superdominance relation, the positional winner, and more missing links between Borda and Condorcet
R. Pérez-Fernández and B. De Baets
(2019) JOURNAL OF THEORETICAL POLITICS. 31, 46-65.

(5) On the degree of asymmetry of a quasi-copula with respect to a curve
B. De Baets, H. De Meyer and T. Jwaid
(2019) FUZZY SETS AND SYSTEMS. 354, 84-103.

(4) On the lattice structure of the set of supermodular quasi-copulas
J.J. Arias García and B. De Baets
(2019) FUZZY SETS AND SYSTEMS. 354, 74-83.

(3) Kernel distance metric learning using pairwise constraints for person re-identification
B. Nguyen and B. De Baets
(2019) IEEE TRANSACTIONS ON IMAGE PROCESSING. 28, 589-600.

(2) An efficient method for clustered multi-metric learning
B. Nguyen, F. Ferri, C. Morell and B. De Baets
(2019) INFORMATION SCIENCES. 471, 149-163.

(1) A method based on the Levenshtein distance metric for the comparison of multiple movement patterns described by matrix sequences of different length
J. Beernaerts, E. Debever, M. Lenoir, B. De Baets and N. Van de Weghe
(2019) EXPERT SYSTEMS WITH APPLICATIONS. 115, 373-385.

Journal Papers (ISI)

Authors

Year