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| (56) Towards harmonization of DNA metabarcoding for monitoring marine macrobenthos: the effect of technical replicates and pooled DNA extractions on species detectionL. Van den Bulcke, A. De Backer, B. Ampe, S. Maes, J. Wittoeck, W. Waegeman, K. Hostens and S. Derycke(2021) METABARCODING AND METAGENOMICS. 5, 233-247. |
| (55) A distance-constrained semantic autoencoder approach to zero-shot remote sensing scene classificationC. Wang, G. Peng and B. De Baets(2021) IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 14, 12545-12556. |
| (54) Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques: a large-scale benchmarking study T. Mortier, A. Wieme, P. Vandamme and W. Waegeman(2021) COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL. 19, 6157-6168. |
| (53) Improving the performance of machine learning models for biotechnology: the quest for deux ex machinaF. Mey, J. Clauwaert, K. Van Huffel, W. Waegeman and M. De Mey(2021) BIOTECHNOLOGY ADVANCES. 53, 107858. |
| (52) Deep scoping: a breeding strategy to preserve, reintroduce and exploit genetic variationD. Vanavermaete, J. Fostier, S. Maenhout and B. De Baets(2021) THEORETICAL AND APPLIED GENETICS. 134, 3845–3861. |
| (51) Cost-effectiveness of COVID-19 policy measures: a systematic reviewS. Vandepitte, T.W. Alleman, I. Nopens, J.M. Baetens, S. Coenen and D. De Smedt(2021) VALUE IN HEALTH. 24, 1551-1569. |
| (50) Shifts in the rhizobiome during consecutive in planta enrichment for phosphate-solubilizing bacteria differentially affect maize P statusN. De Zutter, M. Ameye, J. Debode, C. De Tender, S. Ommeslag, J. Verwaeren, P. Vermeir, K. Audenaert and L. De Gelder(2021) MICROBIAL BIOTECHNOLOGY. 14, 1594-1612. |
| (49) Compositions of ternary relationsN. Bakri, L. Zedam and B. De Baets(2021) KYBERNETIKA. 57, 404-425. |
| (48) Pressure injury prediction models for critically-ill patients should consider both the case-mix and local factors M. Deschepper, S. Labeau, W. Waegeman and S. Blot(2021) INTENSIVE AND CRITICAL CARE NURSING. 65, 103033. |
| (47) Explainability in transformer models for functional genomicsJ. Clauwaert, G. Menschaert and W. Waegeman(2021) BRIEFINGS IN BIOINFORMATICS. 22, 1-11. |
| (46) Practical equivalent electrical circuit identification for electrochemical impedance spectroscopy analysis with gene expression programmingM. Van Haeverbeke, M. Stock and B. De Baets(2021) IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. 70, 2514612. |
| (45) Predicting the presence and abundance of bacterial taxa in environmental communities through flow cytometric fingerprintingJ. Heyse, F. Schattenberg, P. Rubbens, S. Müller, W. Waegeman, N. Boon and R. Props (2021) MSYSTEMS. 6, e00551-21. |
| (44) A characterization of the classes Umin and Umax of uninorms on a bounded latticeH.-P. Zhang, M. Wu, Z. Wang, Y. Ouyang and B. De Baets(2021) FUZZY SETS AND SYSTEMS. 423, 107-121. |
| (43) Ambient temperature and relative humidity-based drift correction in frequency domain electromagnetics using machine learningD. Hanssens, E. Van De Vijver, W. Waegeman, M. E. Everett, I. Moffat, A. Sarris and P. De Smedt(2021) NEAR SURFACE GEOPHYSICS . 19, 541-556. |
| (42) A characterization of the property of orthomonotonicityR. Pérez-Fernández, B. De Baets, M. Gageloweski and J.J. Salamanca(2021) IEEE TRANSACTIONS ON FUZZY SYSTEMS. 29, 2828. |
| (41) Crowdsourced mapping of unexplored target space of kinase inhibitorsA. Cichonska, B. Ravikumar, R. J. Allaway, F. Wan, S. Park, O. Isayev, S. Li, M. Mason, A. Lamb, Z. Tanoli, M. Jeon, S. Kim, M. Popova, S. Capuzzi, J. Zeng, K. Dang, G. Koytiger, J. Kang, C. I. Wells, T. M. Willson, M. Tan, C.-H. Huang, E. S. C. Shih, T.-M. Chen, C.-H. Wu, W.-Q. Fang, J.-Y. Chen, M.-J. Hwang, X. Wang, M. B. Guebila, B. Shamsaei, S. Singh, T. Nguyen, M. Karimi, D. Wu, Z. Wang, Y. Shen, H. Öztürk, E. Ozkirimli, A. Özgür, H. Lim, L. Xie, G. K. Kanev, A. J. Kooistra, B. A. Westerman, P. Terzopoulos, K. Ntagiantas, C. Fotis, L. Alexopoulos, D. Boeckaerts, M. Stock, B. De Baets, Y. Briers, F. Wan, S. Li, Y. Luo, H. Hu, J. Peng, J. Zeng, T. Dogan, A. S. Rifaioglu, H. Atas, R. C. Atalay, V. Atalay, M. J. Martin, S. Park, M. Jeon, S. Kim, J. Lee, S. Yun, B. Kim, B. Chang, J. Kang, M. Popova, S. Capuzzi, O. Isayev, G. Turu, Á. Misák, B. Szalai, L. Hunyady, M. Lienhard, P. Prasse, I. Bachmann, J. Ganzlin, G. Barel, R. Herwig, D. Oršolić, B. Lučić, V. Stepanić, T. Šmuc, T. I. Oprea, A. Schlessinger, D. H. Drewry, G. Stolovitzky, K. Wennerberg, J. Guinney, T. Aittokallio(2021) NATURE COMMUNICATIONS. 12, 3307. |
| (40) A comparative study of machine learning methods for ordinal classification with absolute and relative informationM. Tang, R. Pérez-Fernández and B. De Baets(2021) KNOWLEDGE-BASED SYSTEMS. 230, 107358. |
| (39) Two-dimensional rotation-symmetric number-conserving cellular automataA. Dzedzej, B. Wolnik, A. Nenca, J.M. Baetens and B. De Baets(2021) INFORMATION SCIENCES. 577, 599-621. |
| (38) Efficient set-valued prediction in multi-class classificationT. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier and W. Waegeman(2021) DATA MINING AND KNOWLEDGE DISCOVERY. 35, 1435-1469. |
| (37) Stability analysis of the coexistence equilibrium of a balanced metapopulation modelS. Rao, N. Muyinda and B. De Baets(2021) SCIENTIFIC REPORTS. 11, 14084. |
| (36) Transitive closures of ternary fuzzy relationsL. Zedam and B. De Baets(2021) INTERNAT. J. OF COMPUTATIONAL INTELLIGENCE SYSTEMS. 14, 1784-1795. |
| (35) PhaLP: A database for the study of phage lytic proteins and their evolutionB. Criel, S. Taelman, W. Van Criekinge, M. Stock and Y. Briers(2021) VIRUSES. 13, 1240. |
| (34) On the role of distance transformations in Baddeley's Delta MetricC. Lopez-Molina, S. Iglesias-Rey, H. Bustince and B. De Baets(2021) INFORMATION SCIENCES. 569, 479-495. |
| (33) The Point-Descriptor-Precedence representation for point configurations and movementsA. Qayyum, B. De Baets, M.S. Baig, F. Witlox, G. De Tré and N. Van de Weghe(2021) INTERNAT. J. OF GEOGRAPHICAL INFORMATION SCIENCE. 35, 1374-1391. |
| (32) Exploring the effect of occurrence-bias-adjustment assumptions on hydrological impact modellingJ. Van de Velde, M. Demuzere, B. De Baets and N. Verhoest(2021) WATER. 13, 1573. |
| (31) Disentangling the information in species interaction networksM. Stock, L. Hoebeke and B. De Baets(2021) ENTROPY. 23, 703. |
| (30) On an order-based multivariate medianR. Pérez-Fernández(2021) FUZZY SETS AND SYSTEMS. 414, 70-84. |
| (29) Optimal transportation theory for species interaction networksM. Stock, T. Poisot and B. De Baets(2021) ECOLOGY AND EVOLUTION. 11, 3841-3855. |
| (28) Cold-start problems in data-driven prediction of drug-drug interaction effectsP. Dewulf, M. Stock and B. De Baets(2021) PHARMACEUTICALS. 14, 429. |
| (27) Pairwise learning for predicting pollination interactions based on traits and phylogenyM. Stock, N. Piot, S. Vanbesien, J. Meys, G. Smagghe and B. De Baets(2021) ECOLOGICAL MODELLING. 451, 109508. |
| (26) Unsupervised cell segmentation and labelling in neural tissue imagesS. Iglesias-Rey, F. Antunes dos Santos, C. Hagemann, D. Gómez-Cabrero, H. Bustince, R. Patani, A. Serio, B. De Baets and C. Lopez-Molina(2021) APPLIED SCIENCES. 11, 3733. |
| (25) Unravelling the natural durability of wood: revealing the impact of decay-influencing characteristics other than fungicidal componentsL. De Ligne, J. Van den Bulcke, J.M. Baetens, B. De Baets, G. Wang, I. De Windt, H. Beeckman and J. Van Acker(2021) HOLZFORSCHUNG. 75, 368-378. |
| (24) Aggregation theory revisitedR. Pérez-Fernández and B. De Baets(2021) IEEE TRANSACTIONS ON FUZZY SYSTEMS. 29, 797-804. |
| (23) Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methodsE. Hüllermeier and W. Waegeman(2021) MACHINE LEARNING. 110, 457-506. |
| (22) Untangling the mechanisms of cryptic species coexistence in a nematode community through individual-based modellingA.J. Daly, N. De Meester, J.M. Baetens, T. Moens and B. De Baets(2021) OIKOS. 130, 587-600. |
| (21) On the aggregation of compositional dataR. Pérez-Fernández, M. Gagolewski and B. De Baets(2021) INFORMATION FUSION. 73, 103-110. |
| (20) A survey on matching strategies for boundary image comparison and evaluationC. Lopez-Molina, C. Marco-Detchart, H. Bustince and B. De Baets(2021) PATTERN RECOGNITION. 115, 107883. |
| (19) PhenoGMM: Gaussian mixture modelling of cytometry data quantifies changes in microbial community structureP. Rubbens, R. Props, F.-M. Kerckhof, N. Boon and W. Waegeman(2021) MSPHERE. 6, e00530-20. |
| (18) High-resolution surveying with small-loop frequency domain electromagnetic systems: Efficient survey design and adaptive processingD. Hanssens, W. Waegeman, Y. Declercq, H. Dierckx, H. Verschelde and P. De Smedt(2021) IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE. 9, 167-183. |
| (17) Ordinal sums of triangular norms on a bounded latticeY. Ouyang, H.-P. Zhang and B. De Baets(2021) FUZZY SETS AND SYSTEMS. 408, 1-12. |
| (16) Rapid and high-throughput evaluation of diverse configurations of engineered lysins using the VersaTile techniqueL. Duyvejonck, H. Gerstmans, M. Stock, D. Grimon, R. Lavigne and Y. Briers(2021) ANTIBIOTICS. 10, 293. |
| (15) Effective drought communication: using the past to assess the present and anticipate the futureH. Vernieuwe, B. De Baets and N.E.C. Verhoest(2021) WATER. 13, 714. |
| (14) Quantitative dominance-based neighborhood rough sets via fuzzy preference relationsS. Yang, H. Zhang, B. De Baets, M. Jah and Q. Shi(2021) IEEE TRANSACTIONS ON FUZZY SYSTEMS. 29, 515-529. |
| (13) Oceanic response to the consecutive Hurricanes Dorian and Humberto (2019) in the Sargasso SeaD. Avila-Alonso, J.M. Baetens, R. Cardenas and B. De Baets(2021) NATURAL HAZARDS AND EARTH SYSTEM SCIENCES. 21, 837-859. |
| (12) Recurrent misconceptions in the study of CA reversibility on triangular gridsB. Wolnik, M. Dziemiańczuk and B. De Baets(2021) INTERNAT. J. OF BIFURCATION AND CHAOS. 31, 2150014. |
| (11) Incorporating unmodeled dynamics into first-principles models through machine learningW. Quaghebeur, I. Nopens and B. De Baets(2021) IEEE ACCESS. 9, 22014-22022. |
| (10) Automated detection and counting of Artemia using U-shaped fully convolutional networks and deep convolutional networksG. Wang, G. Van Stappen and B. De Baets(2021) EXPERT SYSTEMS WITH APPLICATIONS. 171, 114562. |
| (9) Reversibility of non-saturated linear cellular automata on finite triangular gridsB. Wolnik, A. Augustynowicz, M. Dziemiańczuk and B. De Baets(2021) CHAOS. 31, 013136. |
| (8) Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteinsD. Boeckaerts, M. Stock, B. Criel, H. Gerstmans, B. De Baets and Y. Briers(2021) SCIENTIFIC REPORTS. 11, 1467. |
| (7) Cytometric fingerprints of gut microbiota predict Crohn's disease state P. Rubbens, R. Props, F.-M. Kerckhof, N. Boon and W. Waegeman(2021) THE ISME JOURNAL. 15, 354-358. |
| (6) Curved splicing of copulasT. Jwaid, H. De Meyer, A. Haj Ismail and B. De Baets(2021) INFORMATION SCIENCES. 556, 95-110. |
| (5) Otolith identification using a deep hierarchical classification modelM. Stock, B. Nguyen, W. Courtens, H. Verstraete, E. Stienen and B. De Baets(2021) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 180, 105883. |
| (4) Probabilistic topic modelling in food spoilage analysis: a case study with Atlantic salmon (Salmo salar)L. Kuuliala, R. Pérez-Fernández, M. Tang, M. Vanderroost, B. De Baets and F. Devlieghere(2021) INTERNAT. J. FOOD MICROBIOLOGY. 337, 108955. |
| (3) Forty years of Fuzzy Sets and Systems: A bibliometric analysisS. Laengle, V. Lobos, J.M. Merigó, E. Herrera-Viedma, M.J. Cobo and B. De Baets(2021) FUZZY SETS AND SYSTEMS. 402, 155-183. |
| (2) Distance metric learning for augmenting the method of nearest neighbors for ordinal classification with absolute and relative informationM. Tang, R. Pérez-Fernández and B. De Baets(2021) INFORMATION FUSION. 65, 72-83. |
| (1) Constructions of uni-nullnorms and null-uninorms on a bounded latticeH.-P. Zhang, Y. Ouyang and B. De Baets(2021) FUZZY SETS AND SYSTEMS. 403, 78-87. |