{"personrec":{"StatusID":1,"PersStatus":null,"Status":"Valid","PersID":37208,"PersName":"De Baets, Bernard","PublicFlag":1,"CheckedFlag":0,"Surname":"De Baets","Firstname":"Bernard","Initials":"B.","AddressedAs":null,"Function":null,"DateLastModified":{"date":"2024-06-04 01:34:08.417000","timezone_type":1,"timezone":"+00:00"},"PersTitle":null,"PersStatusID":null,"AbstractEnglish":null,"AbstractOtherLang":null,"AbstractLangCode":null,"AbstractLangID":null,"AutID":114007,"ND":null,"UD":"2019-03-26","ORCID":"0000-0002-3876-620X"},"loaninfo":null,"pictures":[],"institutes":null,"pastins":[],"projects":[],"datasets":[{"DasID":8464,"Acronym":null,"Citation":"Vafeiadou, A-M.; Geldhof, K.; Barhdadi, W.; Rigaux, A.; Baetens, J.M.; De Baets, B.; Moens, T.; Daly, A.J.; Marine Biology Research Group, Department of Biology; Department of Data Analysis and Mathematical Modelling. Ghent University: Belgium; (2024): Experimental dataset of temperature-driven competition dynamics experiments. Marine Data Archive.","Title":"Experimental dataset of temperature-driven competition dynamics experiments","DasType":"Data"}],"references":{"A1":[{"BRefID":393705,"RR":"<b>Vafeiadou, A.-M.; Geldhof, K.; Barhdadi, W.; Baetens, J.M.; De Baets, B.; Moens, T.; Daly, A.J.</b> (2024). Temperature-driven dynamics: unraveling the impact of climate change on cryptic species interactions within the <i>Litoditis marina</i> complex. <i>PeerJ 12</i>: e17324. <a href=\"https://dx.doi.org/10.7717/peerj.17324\" target=\"_blank\">https://dx.doi.org/10.7717/peerj.17324</a>","AutID":570863,"MonDate":null,"AnaDate":2024,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":405140,"RR":"<b>Vanavermaete, D.; De Witte, B.; Hostens, K.; Ruttens, A.; Waegeneers, N.; Cheyns, K.; Leus, J.; De Baets, B.</b> (2024). Bioaccumulation of organic and inorganic contaminants in biota: A long-term evaluation in the Belgian part of the North Sea. <i>Mar. Pollut. Bull. 209</i>: 117068. <a href=\"https://dx.doi.org/10.1016/j.marpolbul.2024.117068\" target=\"_blank\">https://dx.doi.org/10.1016/j.marpolbul.2024.117068</a>","AutID":579102,"MonDate":null,"AnaDate":2024,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":366808,"RR":"<b>Delva, S.; De Baets, B.; Baetens, J.M.; De Clerck, O.; Stock, W.</b> (2023). No bacterial-mediated alleviation of thermal stress in a brown seaweed suggests the absence of ecological bacterial rescue effects. <i>Sci. Total Environ. 876</i>: 162532. <a href=\"https://dx.doi.org/10.1016/j.scitotenv.2023.162532\" target=\"_blank\">https://dx.doi.org/10.1016/j.scitotenv.2023.162532</a>","AutID":538354,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337285,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2021). Oceanic response to the consecutive Hurricanes Dorian and Humberto (2019) in the Sargasso Sea. <i>Nat. Hazards Earth Syst. Sci. 21(2)</i>: 837-859. <a href=\"https://hdl.handle.net/10.5194/nhess-21-837-2021\" target=\"_blank\">https://hdl.handle.net/10.5194/nhess-21-837-2021</a>","AutID":463865,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337340,"RR":"<b>Daly, A.J.; De Meester, N.; Baetens, J.M.; Moens, T.; De Baets, B.</b> (2021). Untangling the mechanisms of cryptic species coexistence in a nematode community through individual-based modelling. <i>Oikos (Kbh.) 130(4)</i>: 587-600. <a href=\"https://hdl.handle.net/10.1111/oik.07989\" target=\"_blank\">https://hdl.handle.net/10.1111/oik.07989</a>","AutID":446137,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":337396,"RR":"<b>Kuuliala, L.; Pérez-Fernández, R.; Tang, M.; Vanderroost, M.; De Baets, B.; Devlieghere, F.</b> (2021). Probabilistic topic modelling in food spoilage analysis: a case study with Atlantic salmon (<i>Salmo solar</i>). <i>Intern. J. Food Microbiol. 337</i>: 108955. <a href=\"https://hdl.handle.net/10.1016/j.ijfoodmicro.2020.108955\" target=\"_blank\">https://hdl.handle.net/10.1016/j.ijfoodmicro.2020.108955</a>","AutID":463874,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":331773,"RR":"<b>Stock, M.; Nguyen, B.; Courtens, W.; Verstraete, H.; Stienen, E.; De Baets, B.</b> (2021). Otolith identification using a deep hierarchical classification model. <i>Comput. Electron. Agric. 180</i>: 105883. <a href=\"https://dx.doi.org/10.1016/j.compag.2020.105883\" target=\"_blank\">https://dx.doi.org/10.1016/j.compag.2020.105883</a>","AutID":424939,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":337222,"RR":"<b>Wang, G.; Van Stappen, G.; De Baets, B.</b> (2021). Automated detection and counting of <i>Artemia</i> using U-shaped fully convolutional networks and deep convolutional networks. <i>Exp. Syst. Appl. 171</i>: 114562. <a href=\"https://hdl.handle.net/10.1016/j.eswa.2021.114562\" target=\"_blank\">https://hdl.handle.net/10.1016/j.eswa.2021.114562</a>","AutID":463840,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":329309,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2020). Spatio-temporal variability of oceanographic conditions in the Exclusive Economic Zone of Cuba. <i>J. Mar. Syst. 212</i>: 103416. <a href=\"https://dx.doi.org/10.1016/j.jmarsys.2020.103416\" target=\"_blank\">https://dx.doi.org/10.1016/j.jmarsys.2020.103416</a>","AutID":463840,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":322650,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2020). Oceanic response to Hurricane Irma (2017) in the Exclusive Economic Zone of Cuba and the eastern Gulf of Mexico. <i>Ocean Dynamics 70(5)</i>: 603-619. <a href=\"https://dx.doi.org/10.1007/s10236-020-01350-y\" target=\"_blank\">https://dx.doi.org/10.1007/s10236-020-01350-y</a>","AutID":463865,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":337967,"RR":"<b>Sader, M.; Pérez-Fernández, R.; Kuuliala, L.; Devlieghere, F.; De Baets, B.</b> (2020). The constrained median: a way to incorporate side information in the assessment of food samples. <i>Mathematics 8(3)</i>: 406. <a href=\"https://hdl.handle.net/10.3390/math8030406\" target=\"_blank\">https://hdl.handle.net/10.3390/math8030406</a>","AutID":463840,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":338046,"RR":"<b>Wang, G.; Van Stappen, G.; De Baets, B.</b> (2020). Automated <i>Artemia</i> length measurement using U-shaped fully convolutional networks and second-order anisotropic Gaussian kernels. <i>Comput. Electron. Agric. 168</i>: 105102. <a href=\"https://hdl.handle.net/10.1016/j.compag.2019.105102\" target=\"_blank\">https://hdl.handle.net/10.1016/j.compag.2019.105102</a>","AutID":463840,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":322874,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2019). The impact of hurricanes on the oceanographic conditions in the Exclusive Economic Zone of Cuba. <i>Remote Sens. Environ. 233</i>: 111339. <a href=\"https://dx.doi.org/10.1016/j.rse.2019.111339\" target=\"_blank\">https://dx.doi.org/10.1016/j.rse.2019.111339</a>","AutID":463865,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":323014,"RR":"<b>Kuuliala, L.; Sader, M.; Solimeo, A.; Pérez-Fernández, R.; Vanderroost, M.; De Baets, B.; De Meulenaer, B.; Ragaert, P.; Devlieghere, F.</b> (2019). Spoilage evaluation of raw Atlantic salmon (<i>Salmo salar</i>) stored under modified atmospheres by multivariate statistics and augmented ordinal regression. <i>Intern. J. Food Microbiol. 303</i>: 46-57. <a href=\"https://dx.doi.org/10.1016/j.ijfoodmicro.2019.04.011\" target=\"_blank\">https://dx.doi.org/10.1016/j.ijfoodmicro.2019.04.011</a>","AutID":463874,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":321915,"RR":"<b>Nguyen, B.; Rubbens, P.; Kerckhof, F.-M.; Boon, N.; De Baets, B.; Waegeman, W.</b> (2019). Learning single‐cell distances from cytometry data. <i>Cytometry A 95(7)</i>: 782-791. <a href=\"https://dx.doi.org/10.1002/cyto.a.23792\" target=\"_blank\">https://dx.doi.org/10.1002/cyto.a.23792</a>","AutID":424939,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":293578,"RR":"<b>Kuuliala, L.; Al Hage, Y.; Ioannidis, A.-G.; Sader, M.; Kerckhof, F.-M.; Vanderroost, M.; Boon, N.; De Baets, B.; De Meulenaer, B.; Ragaert, P.; Devlieghere, F.</b> (2018). Microbiological, chemical and sensory spoilage analysis of raw Atlantic cod (<i>Gadus morhua</i>) stored under modified atmospheres. <i>Food Microbiol. 70</i>: 232-244. <a href=\"https://dx.doi.org/10.1016/j.fm.2017.10.011\" target=\"_blank\">https://dx.doi.org/10.1016/j.fm.2017.10.011</a>","AutID":317921,"MonDate":null,"AnaDate":2018,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":295631,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2017). Assessing the effects of ultraviolet radiation on the photosynthetic potential in Archean marine environments. <i>International Journal of Astrobiology 16(3)</i>: 271-279. <a href=\"https://dx.doi.org/10.1017/S147355041600032X\" target=\"_blank\">https://dx.doi.org/10.1017/S147355041600032X</a>","AutID":463868,"MonDate":null,"AnaDate":2017,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":295742,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2017). Modeling the effect of ultraviolet radiation on the photosynthetic potential of <i>Prochlorococcus</i> and <i>Synechococcus</i> cyanobacteria. <i>Aquat. Microb. Ecol. 79(2)</i>: 149-164. <a href=\"https://dx.doi.org/10.3354/ame01822\" target=\"_blank\">https://dx.doi.org/10.3354/ame01822</a>","AutID":463868,"MonDate":null,"AnaDate":2017,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":217777,"RR":"<b>Fukuda, S.; De Baets, B.; Mouton, A.M.; Waegeman, W.; Nakajima, J.; Mukai, T.; Hiramatsu, K.; Onikura, N.</b> (2011). Effect of model formulation on the optimization of a genetic Takagi–Sugeno fuzzy system for fish habitat suitability evaluation. <i>Ecol. Model. 222(8)</i>: 1401-1413. <a href=\"http://dx.doi.org/10.1016/j.ecolmodel.2011.01.023\" target=\"_blank\">http://dx.doi.org/10.1016/j.ecolmodel.2011.01.023</a>","AutID":150908,"MonDate":null,"AnaDate":2011,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":211830,"RR":"<b>Mouton, A.M.; Alcaraz-Hernández, J.D.; De Baets, B.; Goethals, P.L.M.; Martínez-Capel, F.</b> (2011). Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers. <i>Environ. Model. Softw. 26(5)</i>: 615-622. <a href=\"http://dx.doi.org/10.1016/j.envsoft.2010.12.001\" target=\"_blank\">dx.doi.org/10.1016/j.envsoft.2010.12.001</a>","AutID":150901,"MonDate":null,"AnaDate":2011,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":197892,"RR":"<b>Mouton, A.M.; De Baets, B.; Goethals, P.L.M.</b> (2010). Ecological relevance of performance criteria for species distribution models. <i>Ecol. Model. 221(16)</i>: 1995-2002. <a href=\"http://dx.doi.org/10.1016/j.ecolmodel.2010.04.017\" target=\"_blank\">http://dx.doi.org/10.1016/j.ecolmodel.2010.04.017</a>","AutID":150898,"MonDate":null,"AnaDate":2010,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":217760,"RR":"<b>Mouton, A.M.; De Baets, B.; Van Broekhoven, E.; Goethals, P.L.M.</b> (2009). Prevalence-adjusted optimisation of fuzzy models for species distribution. <i>Ecol. Model. 220(15)</i>: 1776-1786. <a href=\"http://dx.doi.org/10.1016/j.ecolmodel.2009.04.020\" target=\"_blank\">http://dx.doi.org/10.1016/j.ecolmodel.2009.04.020</a>","AutID":150877,"MonDate":null,"AnaDate":2009,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":217761,"RR":"<b>Mouton, A.M.; Jowett, I.; Goethals, P.L.M.; De Baets, B.</b> (2009). Prevalence-adjusted optimisation of fuzzy habitat suitability models for aquatic invertebrate and fish species in New Zealand. <i>Ecological Informatics 4(4)</i>: 215-225. <a href=\"https://dx.doi.org/10.1016/j.ecoinf.2009.07.006\" target=\"_blank\">https://dx.doi.org/10.1016/j.ecoinf.2009.07.006</a>","AutID":150877,"MonDate":null,"AnaDate":2009,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":217763,"RR":"<b>Mouton, A.M.; De Baets, B.; Goethals, P.L.M.</b> (2009). Knowledge-based versus data-driven fuzzy habitat suitability models for river management. <i>Environ. Model. Softw. 24(8)</i>: 982-993. <a href=\"https://dx.doi.org/10.1016/j.envsoft.2009.02.005\" target=\"_blank\">https://dx.doi.org/10.1016/j.envsoft.2009.02.005</a>","AutID":150877,"MonDate":null,"AnaDate":2009,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":280887,"RR":"<b>Derelle, E.; Ferraz, C.; Rombauts, S.; Rouzé, P.; Worden, A.Z.; Robbens, S.; Partensky, F.; Degroeve, S.; Echeynié, S.; Cooke, R.; Saeys, Y.; Wuyts, J.; Jabbari, K.; Bowler, C.; Panaud, O.; Piégu, B.; Ball, S.G.; Ral, J.-P.; Bouget, F.-Y.; Piganeau, G.; De Baets, B.; Picard, A.; Delseny, M.; Demaille, J.; Van de Peer, Y.; Moreau, H.</b> (2006). Genome analysis of the smallest free-living eukaryote <i>Ostreococcus tauri</i> unveils many unique features. <i>Proc. Natl. Acad. Sci. U.S.A. 103(31)</i>: 11647-11652. <a href=\"https://dx.doi.org/10.1073/pnas.0604795103\" target=\"_blank\">https://dx.doi.org/10.1073/pnas.0604795103</a>","AutID":125660,"MonDate":null,"AnaDate":2006,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":307812,"RR":"<b>Van Broekhoven, E.; Adriaenssens, V.; De Baets, B.; Verdonschot, P.F.M.</b> (2006). Fuzzy rule-based macroinvertebrate habitat suitability models for running waters. <i>Ecol. Model. 198(1-2)</i>: 71-84. <a href=\"https://dx.doi.org/10.1016/j.ecolmodel.2006.04.006\" target=\"_blank\">https://dx.doi.org/10.1016/j.ecolmodel.2006.04.006</a>","AutID":367130,"MonDate":null,"AnaDate":2006,"PeerRev":1,"outputType":"1_A1","OpenAcc":0}],"PeerRevRef":[{"BRefID":239166,"RR":"<b>Fukuda, S.; Waegeman, W.; Mouton, A.; De Baets, B.</b> (2011). Modelling fish habitat preference with a genetic algorithm-optimized Takagi-Sugeno model based on pairwise comparisons, <b><i>in</i></b>: Melo-Pinto, P. <i>et al.</i> <i>Eurofuse 2011: Workshop on Fuzzy Methods for Knowledge-Based Systems. Advances in Intelligent and Soft Computing,</i> 107: pp. 375-387. <a href=\"http://dx.doi.org/10.1007/978-3-642-24001-0_34\" target=\"_blank\">http://dx.doi.org/10.1007/978-3-642-24001-0_34</a>","AutID":182836,"MonDate":null,"AnaDate":2011,"PeerRev":1,"outputType":"2_PeerRevRef","OpenAcc":0},{"BRefID":239164,"RR":"<b>Melo-Pinto, P.; Couto, P.; Serôdio, C.; Fodor, J.; De Baets, B. (Ed.)</b> (2011). Eurofuse 2011: Workshop on Fuzzy Methods for Knowledge-Based Systems. <i>Advances in Intelligent and Soft Computing</i>, 107. Springer: Berlin. ISBN 978-3-642-24001-0. XII, 426 pp. <a href=\"http://dx.doi.org/10.1007/978-3-642-24001-0\" target=\"_blank\">http://dx.doi.org/10.1007/978-3-642-24001-0</a>","AutID":125660,"MonDate":2011,"AnaDate":null,"PeerRev":1,"outputType":"2_PeerRevRef","OpenAcc":0}],"Abstr":[{"BRefID":349860,"RR":"<b>Delva, S.; Bafort, Q.; Bogaert, K.; Baetens, J.M.; De Baets, B.; De Clerck, O.</b> (2022). Beyond genetics, exploring the contribution of epigenetics to thermal adaptation in brown seaweeds, <b><i>in</i></b>: Mees, J. <i>et al.</i> <i>Book of abstracts – VLIZ Marine Science Day, Online event 2 March 2022. VLIZ Special Publication,</i> 88: pp. 4","AutID":480402,"MonDate":null,"AnaDate":2022,"PeerRev":0,"outputType":"6_Abstr","OpenAcc":1},{"BRefID":222810,"RR":"<b>Chawla, S.; Desmet, N.; Raymaekers, D.; Knaeps, E.; Seuntjens, P.; De Baets, B.; Verhoest, N.</b> (2013). Systematic sampling strategy for monitoring water quality by integrating in-situ and remote sensing data, <b><i>in</i></b>: Mees, J. <i>et al.</i> (Ed.) <i>Book of abstracts – VLIZ Young Marine Scientists' Day. Brugge, Belgium, 15 February 2013. VLIZ Special Publication,</i> 63: pp. 23","AutID":158140,"MonDate":null,"AnaDate":2013,"PeerRev":0,"outputType":"6_Abstr","OpenAcc":1}],"OtherRef":[{"BRefID":203448,"RR":"<b>Lievens, H.; Lambot, S.; Minet, J.; Vernieuwe, H.; Matgen, P.; Giustarini, L.; Plaza, D.; Verhoest, N.E.C.; Vanclooster, M.; De Baets, B.; Hoffmann, L.; Pauwels, V.R.N.</b> (2011). Integrating radar remote sensing, hydrologic and hydraulic modelling for surface water management [POSTER]. Universiteit Gent: Gent.  1 poster pp.","AutID":114007,"MonDate":2011,"AnaDate":null,"PeerRev":0,"outputType":"8_OtherRef","OpenAcc":0},{"BRefID":207273,"RR":"<b>Peters, J.; Verhoest, N.E.C.; De Baets, B.; De becker, P.; Huybrechts, W.; Samson, R.</b> (2007). Regressie- en classificatietechnieken in hydro-ecologische modellen: toepassing voor vallei-ecosystemen in Vlaanderen, <b><i>in</i></b>: <i>Congres Watersysteemkennis 2006/2007: De interactie tussen bodem, grondwater en ecosysteem. Water: Tijdschrift over Integraal Waterbeleid,</i> 31: pp. 40-44","AutID":114007,"MonDate":null,"AnaDate":2007,"PeerRev":0,"outputType":"8_OtherRef","OpenAcc":1},{"BRefID":188022,"RR":"<b>Peters, J.; Verhoest, N.E.C.; De Baets, B.; Samson, R.; Huybrechts, W.; De becker, P.</b> (2007). Hydro-ecologische modellering door middel van de 'random forest' techniek. <i>Water: Tijdschrift over Integraal Waterbeleid 31</i>","AutID":114007,"MonDate":null,"AnaDate":2007,"PeerRev":0,"outputType":"8_OtherRef","OpenAcc":0}]},"urls":[{"URL":"https://orcid.org/0000-0002-3876-620X","externalID":"0000-0002-3876-620X","URLTypeCode":"ORCID","URLType":"ORCID"}],"spcols":null,"thesterms":null,"taxterms":null,"pub":1,"newses":null,"updses":{"SesID":93987,"LoginName":"VLIZ2000\\zohrab","LoginID":435,"DD":"2019-03-26"},"urlmaps":[],"resmessage":"no id specified","complete":1}