 (30) Application of the Point-Descriptor-Precedence representation for micro-scale traffic analysis at a non-signalized T-junctionA. Qayyum, B. De Baets, L. De Cock, F. Witlox, G. De Tré and N. Van de Weghe(2023) GEO-SPATIAL INFORMATION SCIENCE. 26, 406-430. |
| (29) Solving the Kemeny ranking aggregation problem with quantum optimization algorithmsE. Combarro, R. Pérez-Fernández, J. Ranilla and B. De Baets(2023) MATHEMATICAL METHODS IN THE APPLIED SCIENCES. 46, 17065-17081. |
| (28) An exploration of reversible septenary number-conserving cellular automata using a range of known methodsB. Wolnik, A. Dzedzej, M. Dziemiańczuk, A. Wardyn and B. De Baets(2023) NATURAL COMPUTING. 22, 463-475. |
| (27) Food biodiversity: quantifying the unquantifiable in human dietsG.T. Hanley-Cook, A. Daly, R. Remans, A.D. Jones, K.A. Murray, I. Huybrechts, B. De Baets and C. Lachat(2023) CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION. 63, 7837-7851. |
| (26) Evaluating the potential of Distribution of Relaxation Times analysis for plant agricultureM. Van Haeverbeke, B. De Baets and M. Stock(2023) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 213, 108249. |
| (25) When driving becomes risky:
Micro-scale variants of the lane-changing maneuver in highway trafficA. Qayyum, B. De Baets, S. Van Ackere, F. Witlox, G. De Tré and N. Van de Weghe(2023) TRAFFIC INJURY PREVENTION. 24, 583-591. |
| (24) Non-uniform number-conserving Elementary Cellular Automata on the infinite grid:
a tale of the unexpectedB. Wolnik, M. Dziemiańczuk and B. De Baets(2023) INFORMATION SCIENCES. 649, 119680. |
| (23) DeepMTP: A Python-based deep learning framework for multi-target predictionD.Iliadis, B. De Baets and W. Waegeman(2023) SOFTWAREX. 23, 101516. |
| (22) A note on the representation theorem for nullnorms on bounded latticesZ. Wang, Y. Ouyang, H.-P. Zhang and B. De Baets(2023) FUZZY SETS AND SYSTEMS. 472, 108680. |
| (21) Oracle selection gives insight into how far off practice is from Utopia in plant breedingD. Vanavermaete, J. Fostier, S. Maenhout and B. De Baets(2023) FRONTIERS IN PLANT SCIENCE. 14, 1218665. |
| (20) Plant impedance spectroscopy: a review of modeling approaches and applicationsM. Van Haeverbeke, B. De Baets and M. Stock(2023) FRONTIERS IN PLANT SCIENCE. 14, 1187573. |
| (19) Response of phytoplankton functional types to Hurricane Fabian (2003) in the Sargasso SeaD. Avila-Alonso, J.M. Baetens, R. Cardenas and B. De Baets(2023) MARINE ENVIRONMENTAL RESEARCH. 190, 106079. |
| (18) RADAM: Texture recognition through randomized aggregated encoding of deep activation maps
L. Scabini, K.M. Zielinski, L.C. Ribas, W.N. Gonçalves, B. De Baets and O.M. Bruno(2023) PATTERN RECOGNITION. 143, 109802. |
| (17) A density-grid-based method for clustering k-dimensional dataE.S. Kashani, S.B. Shouraki, Y. Nozouri and B. De Baets(2023) APPLIED INTELLIGENCE. 53, 10559-10573. |
| (16) Fuzzy structures induced by fuzzy betweenness relationsY. Shi, B. Pang and B. De Baets(2023) FUZZY SETS AND SYSTEMS. 466, 108443. |
| (15) Fuzzy relational Galois connections between transitive fuzzy digraphsI.P. Cabrera, P. Cordero, E. Muñoz-Velasco, M. Ojeda-Aciego and B. De Baets(2023) FUZZY SETS AND SYSTEMS. 463, 108456. |
| (14) Triangular norms on bounded trellisesL. Zedam and B. De Baets(2023) FUZZY SETS AND SYSTEMS. 462, 108468. |
| (13) Modelling fish co-occurrence patterns in a small spring-fed river using a machine learning approachY. Matsuzawa, S. Fukuda, M. Ohira and B. De Baets(2023) ECOLOGICAL INDICATORS. 151, 110234. |
| (12) The potential of surveillance data for dengue risk mapping: an evaluation of different approaches in CubaW. Baldoquín Rodríguez, M. Mirabal, P. Van der Stuyft, T. Gómez Padrón, V. Fonseca, R.M. Castillo, S. Monteagudo Díaz, J.M. Baetens, B. De Baets, M.E. Toledo Romaní and V. Vanlerberghe(2023) TROPICAL MEDICINE AND INFECTIOUS DISEASE. 8, 230. |
| (11) Future multivariate weather generation by combining Bartlett-Lewis and vine copula modelsJ. Van de Velde, M. Demuzere, B. De Baets and N.E.C. Verhoest(2023) HYDROLOGICAL SCIENCES JOURNAL. 68, 1-15. |
| (10) Non-uniform number-conserving elementary cellular automataB. Wolnik, M. Dziemiańczuk and B. De Baets(2023) INFORMATION SCIENCES. 626, 851-866. |
| (9) No bacterial-mediated alleviation of thermal stress in a brown seaweed suggests the absence of ecological bacterial rescue effectsS. Delva, B. De Baets, J.M. Baetens, O. De Clerck and W. Stock(2023) SCIENCE OF THE TOTAL ENVIRONMENT. 876, 162532. |
| (8) A decomposition theorem for number-conserving multi-state cellular automata on triangular grids B. Wolnik, A. Nenca and B. De Baets(2023) THEORETICAL COMPUTER SCIENCE. 953, 113795. |
| (7) A nearest neighbor open-set classifier based on excesses of distance ratiosM.L. Steyn, T. de Wet, B. De Baets and S. Luca(2023) JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 32, 319-328. |
| (6) Seven-state rotation-symmetric number-conserving cellular automaton that is not isomorphic to any septenary oneB. Wolnik, A. Nenca, A. Dzedzej and B. De Baets(2023) PHYSICAL REVIEW E. 107, 024211. |
| (5) Valid prediction intervals for regression problemsN. Dewolf, B. De Baets and W. Waegeman(2023) ARTIFICIAL INTELLIGENCE REVIEW. 56, 577-613. |
| (4) Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadataA. Deloose, G. Gysels, B. De Baets and J. Verwaeren(2023) COMPUTERS IN INDUSTRY. 145, 103830. |
| (3) A deep recursive multi-scale feature fusion network for image super-resolutionF. Liu, X. Yang and B. De Baets(2023) JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION. 90, 103730. |
| (2) Lightweight image super-resolution with a feature-refined networkF. Liu, G. Jeon, X. Yang and B. De Baets(2023) SIGNAL PROCESSING: IMAGE COMMUNICATION. 111, 116898. |
| (1) Prediction of pipe failures in water supply networks in longer time periods through multi-label classificationA. Robles-Velasco, P. Cortés, J. Muñuzuri and B. De Baets(2023) EXPERT SYSTEMS WITH APPLICATIONS. 213, 119050. |