Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 129

1.

Guiding Mineralization Co-Culture Discovery Using Bayesian Optimization.

Daly AJ, Stock M, Baetens JM, De Baets B.

Environ Sci Technol. 2019 Nov 21. doi: 10.1021/acs.est.9b05942. [Epub ahead of print]

PMID:
31682110
2.

All binary number-conserving cellular automata based on adjacent cells are intrinsically one-dimensional.

Wolnik B, De Baets B.

Phys Rev E. 2019 Aug;100(2-1):022126. doi: 10.1103/PhysRevE.100.022126.

PMID:
31574760
3.

A statistical approach to the identification of diploid cellular automata based on incomplete observations.

Bołt W, Bołt A, Wolnik B, Baetens JM, De Baets B.

Biosystems. 2019 May 29:103976. doi: 10.1016/j.biosystems.2019.103976. [Epub ahead of print]

PMID:
31152774
4.

Spoilage evaluation of raw Atlantic salmon (Salmo salar) stored under modified atmospheres by multivariate statistics and augmented ordinal regression.

Kuuliala L, Sader M, Solimeo A, Pérez-Fernández R, Vanderroost M, De Baets B, De Meulenaer B, Ragaert P, Devlieghere F.

Int J Food Microbiol. 2019 Aug 16;303:46-57. doi: 10.1016/j.ijfoodmicro.2019.04.011. Epub 2019 May 20.

PMID:
31136954
5.

Learning Single-Cell Distances from Cytometry Data.

Nguyen B, Rubbens P, Kerckhof FM, Boon N, De Baets B, Waegeman W.

Cytometry A. 2019 Jul;95(7):782-791. doi: 10.1002/cyto.a.23792. Epub 2019 May 17.

PMID:
31099963
6.

Real-time prediction of influenza outbreaks in Belgium.

Miranda GHB, Baetens JM, Bossuyt N, Bruno OM, De Baets B.

Epidemics. 2019 Sep;28:100341. doi: 10.1016/j.epidem.2019.04.001. Epub 2019 Apr 18.

7.

Inter- and Intrafield Distribution of Cereal Leaf Beetle Species (Coleoptera: Chrysomelidae) in Belgian Winter Wheat.

Van de Vijver E, Landschoot S, Van Roie M, Temmerman F, Dillen J, De Ceuleners K, Smagghe G, De Baets B, Haesaert G.

Environ Entomol. 2019 Apr 3;48(2):276-283. doi: 10.1093/ee/nvz002.

PMID:
30715239
8.

Kernel-Based Distance Metric Learning for Supervised k-Means Clustering.

Nguyen B, De Baets B.

IEEE Trans Neural Netw Learn Syst. 2019 Jan 17. doi: 10.1109/TNNLS.2018.2890021. [Epub ahead of print]

PMID:
30668483
9.

Rift Valley fever: An open-source transmission dynamics simulation model.

Sumaye R, Jansen F, Berkvens D, De Baets B, Geubels E, Thiry E, Krit M.

PLoS One. 2019 Jan 9;14(1):e0209929. doi: 10.1371/journal.pone.0209929. eCollection 2019.

10.

Three-species competition with non-deterministic outcomes.

Depraetere TMA, Daly AJ, Baetens JM, De Baets B.

Chaos. 2018 Dec;28(12):123124. doi: 10.1063/1.5046795.

PMID:
30599525
11.

Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent.

Nguyen B, Morell C, De Baets B.

IEEE Trans Cybern. 2018 Nov 29. doi: 10.1109/TCYB.2018.2881417. [Epub ahead of print]

PMID:
30507546
12.

Assessing the potential of the qualitative trajectory calculus to detect gait pathologies: a case study of children with developmental coordination disorder.

Beernaerts J, Derie R, Nguyen B, Vansteenkiste P, De Baets B, Deconinck FJA, Lenoir M, De Clercq D, Van de Weghe N.

Comput Methods Biomech Biomed Engin. 2019 Jan;22(1):64-70. doi: 10.1080/10255842.2018.1527908. Epub 2018 Nov 17.

PMID:
30449157
13.

Identification of Cellular Automata Based on Incomplete Observations With Bounded Time Gaps.

Bolt W, Baetens JM, De Baets B.

IEEE Trans Cybern. 2018 Oct 29. doi: 10.1109/TCYB.2018.2875266. [Epub ahead of print]

PMID:
30371399
14.

Algebraic shortcuts for leave-one-out cross-validation in supervised network inference.

Stock M, Pahikkala T, Airola A, Waegeman W, De Baets B.

Brief Bioinform. 2018 Oct 16. doi: 10.1093/bib/bby095. [Epub ahead of print]

PMID:
30329015
15.

Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification.

Nguyen B, De Baets B.

IEEE Trans Image Process. 2019 Feb;28(2):589-600. doi: 10.1109/TIP.2018.2870941. Epub 2018 Sep 20.

PMID:
30235128
16.

Differential post-fledging habitat use of Nearctic-Neotropical migratory birds within an urbanized landscape.

Ladin ZS, Van Nieuland S, Adalsteinsson SA, D'Amico V, Bowman JL, Buler JJ, Baetens JM, De Baets B, Shriver WG.

Mov Ecol. 2018 Aug 20;6:17. doi: 10.1186/s40462-018-0132-6. eCollection 2018.

17.

A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression.

Stock M, Pahikkala T, Airola A, De Baets B, Waegeman W.

Neural Comput. 2018 Aug;30(8):2245-2283. doi: 10.1162/neco_a_01096. Epub 2018 Jun 12.

PMID:
29894652
18.

Potentials and Limitations of a Growing Degree Day Approach to Predict the Phenology of Cereal Leaf Beetles.

Van de Vijver E, Landschoot S, Smagghe G, De Baets B, Temmerman F, Dillen J, Haesaert G.

Environ Entomol. 2018 Aug 11;47(4):1039-1046. doi: 10.1093/ee/nvy081.

PMID:
29873690
19.

ONS: an ontology for a standardized description of interventions and observational studies in nutrition.

Vitali F, Lombardo R, Rivero D, Mattivi F, Franceschi P, Bordoni A, Trimigno A, Capozzi F, Felici G, Taglino F, Miglietta F, De Cock N, Lachat C, De Baets B, De Tré G, Pinart M, Nimptsch K, Pischon T, Bouwman J, Cavalieri D; ENPADASI consortium.

Genes Nutr. 2018 Apr 30;13:12. doi: 10.1186/s12263-018-0601-y. eCollection 2018.

20.

Flow cytometric fingerprinting for microbial strain discrimination and physiological characterization.

Buysschaert B, Kerckhof FM, Vandamme P, De Baets B, Boon N.

Cytometry A. 2018 Feb;93(2):201-212. doi: 10.1002/cyto.a.23302. Epub 2017 Dec 20.

21.

Dietary species richness as a measure of food biodiversity and nutritional quality of diets.

Lachat C, Raneri JE, Smith KW, Kolsteren P, Van Damme P, Verzelen K, Penafiel D, Vanhove W, Kennedy G, Hunter D, Odhiambo FO, Ntandou-Bouzitou G, De Baets B, Ratnasekera D, Ky HT, Remans R, Termote C.

Proc Natl Acad Sci U S A. 2018 Jan 2;115(1):127-132. doi: 10.1073/pnas.1709194115. Epub 2017 Dec 18.

22.

Microbiological, chemical and sensory spoilage analysis of raw Atlantic cod (Gadus morhua) stored under modified atmospheres.

Kuuliala L, Al Hage Y, Ioannidis AG, Sader M, Kerckhof FM, Vanderroost M, Boon N, De Baets B, De Meulenaer B, Ragaert P, Devlieghere F.

Food Microbiol. 2018 Apr;70:232-244. doi: 10.1016/j.fm.2017.10.011. Epub 2017 Oct 24.

PMID:
29173632
23.

Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research.

Yang C, Pinart M, Kolsteren P, Van Camp J, De Cock N, Nimptsch K, Pischon T, Laird E, Perozzi G, Canali R, Hoge A, Stelmach-Mardas M, Dragsted LO, Palombi SM, Dobre I, Bouwman J, Clarys P, Minervini F, De Angelis M, Gobbetti M, Tafforeau J, Coltell O, Corella D, De Ruyck H, Walton J, Kehoe L, Matthys C, De Baets B, De Tré G, Bronselaer A, Rivellese A, Giacco R, Lombardo R, De Clercq S, Hulstaert N, Lachat C.

Adv Nutr. 2017 Sep 15;8(5):639-651. doi: 10.3945/an.117.015651. Print 2017 Sep. Review.

24.

Linear filtering reveals false negatives in species interaction data.

Stock M, Poisot T, Waegeman W, De Baets B.

Sci Rep. 2017 Apr 6;7:45908. doi: 10.1038/srep45908.

25.

Identification of A. arborescens, A. grandis, and A. protenta as new members of the European Alternaria population on potato.

Landschoot S, Vandecasteele M, De Baets B, Höfte M, Audenaert K, Haesaert G.

Fungal Biol. 2017 Feb;121(2):172-188. doi: 10.1016/j.funbio.2016.11.005. Epub 2016 Dec 8.

PMID:
28089048
26.

The impact of resource dependence of the mechanisms of life on the spatial population dynamics of an in silico microbial community.

Daly AJ, Baetens JM, De Baets B.

Chaos. 2016 Dec;26(12):123121. doi: 10.1063/1.4972788.

PMID:
28039986
27.

miSTAR: miRNA target prediction through modeling quantitative and qualitative miRNA binding site information in a stacked model structure.

Van Peer G, De Paepe A, Stock M, Anckaert J, Volders PJ, Vandesompele J, De Baets B, Waegeman W.

Nucleic Acids Res. 2017 Apr 20;45(7):e51. doi: 10.1093/nar/gkw1260.

28.

Predictions of methane emission levels and categories based on milk fatty acid profiles from dairy cows.

Castro-Montoya JM, Peiren N, Veneman J, De Baets B, De Campeneere S, Fievez V.

Animal. 2017 Jul;11(7):1153-1162. doi: 10.1017/S1751731116002627. Epub 2016 Dec 15.

PMID:
27974080
29.

Modelling three-dimensional fungal growth in response to environmental stimuli.

Vidal-Diez de Ulzurrun G, Baetens JM, Van den Bulcke J, De Baets B.

J Theor Biol. 2017 Feb 7;414:35-49. doi: 10.1016/j.jtbi.2016.11.020. Epub 2016 Nov 24.

PMID:
27889411
30.

Spatially Explicit Modelling of the Belgian Major Endurance Event 'The 100 km Dodentocht'.

Van Nieuland S, Baetens JM, De Baets B.

PLoS One. 2016 Oct 20;11(10):e0164981. doi: 10.1371/journal.pone.0164981. eCollection 2016.

31.

In silico substrate dependence increases community productivity but threatens biodiversity.

Daly AJ, Baetens JM, De Baets B.

Phys Rev E. 2016 Apr;93:042414. doi: 10.1103/PhysRevE.93.042414. Epub 2016 Apr 22.

PMID:
27176336
32.

Needles: Toward Large-Scale Genomic Prediction with Marker-by-Environment Interaction.

De Coninck A, De Baets B, Kourounis D, Verbosio F, Schenk O, Maenhout S, Fostier J.

Genetics. 2016 May;203(1):543-55. doi: 10.1534/genetics.115.179887. Epub 2016 Mar 2.

33.

Prediction of specialty coffee cup quality based on near infrared spectra of green coffee beans.

Tolessa K, Rademaker M, De Baets B, Boeckx P.

Talanta. 2016 Apr 1;150:367-74. doi: 10.1016/j.talanta.2015.12.039. Epub 2015 Dec 17.

PMID:
26838420
34.

Separability Criteria for the Evaluation of Boundary Detection Benchmarks.

Lopez-Molina C, Bustince H, De Baets B.

IEEE Trans Image Process. 2016 Mar;25(3):1047-55. doi: 10.1109/TIP.2015.2510284. Epub 2015 Dec 17.

PMID:
26701674
35.

PREDICTING CONSUMER ACCEPTANCE OF PACKAGED MEAT USING L1-REGULARIZED ORDINAL REGRESSION.

Sader M, Verwaeren J, Ioannidis AG, Vanderroost M, Devlieghere F, De Baets B.

Commun Agric Appl Biol Sci. 2015;80(1):123-7. No abstract available.

PMID:
26630766
36.

INCLUDING EXPLICIT MARKER-BY-ENVIRONMENT INTERACTION FOR LARGE-SCALE GENOMIC PREDICTION.

De Coninck A, Kourounis D, Verbosio F, Schenk O, De Baets B, Maenhout S, Fostier J.

Commun Agric Appl Biol Sci. 2015;80(1):117-21. No abstract available.

PMID:
26630765
37.

RECIPE COMPLETION USING MACHINE LEARNING TECHNIQUES.

De Clercq M, Stock M, De Baets B, Waegeman W.

Commun Agric Appl Biol Sci. 2015;80(1):111-6.

PMID:
26630764
38.

THE IMPACT OF INITIAL EVENNESS ON THE PRESERVATION OF BIODIVERSITY FOR IN SILICO BACTERIAL COMMUNITIES: A STOCHASTIC, SPATIAL INDIVIDUAL-BASED MODEL.

Daly AJ, Baetens JM, De Baets B.

Commun Agric Appl Biol Sci. 2015;80(1):17-22. No abstract available.

PMID:
26630750
39.

The impact of initial evenness on biodiversity maintenance for a four-species in silico bacterial community.

Daly AJ, Baetens JM, De Baets B.

J Theor Biol. 2015 Dec 21;387:189-205. doi: 10.1016/j.jtbi.2015.09.036. Epub 2015 Oct 13.

PMID:
26458785
40.

Automated image-based analysis of spatio-temporal fungal dynamics.

Vidal-Diez de Ulzurrun G, Baetens JM, Van den Bulcke J, Lopez-Molina C, De Windt I, De Baets B.

Fungal Genet Biol. 2015 Nov;84:12-25. doi: 10.1016/j.fgb.2015.09.004. Epub 2015 Sep 11.

PMID:
26365383
41.

Identification of Functionally Related Enzymes by Learning-to-Rank Methods.

Stock M, Fober T, Hüllermeier E, Glinca S, Klebe G, Pahikkala T, Airola A, De Baets B, Waegeman W.

IEEE/ACM Trans Comput Biol Bioinform. 2014 Nov-Dec;11(6):1157-69. doi: 10.1109/TCBB.2014.2338308.

PMID:
26357052
42.

Participatory Patterns in an International Air Quality Monitoring Initiative.

Sîrbu A, Becker M, Caminiti S, De Baets B, Elen B, Francis L, Gravino P, Hotho A, Ingarra S, Loreto V, Molino A, Mueller J, Peters J, Ricchiuti F, Saracino F, Servedio VD, Stumme G, Theunis J, Tria F, Van den Bossche J.

PLoS One. 2015 Aug 27;10(8):e0136763. doi: 10.1371/journal.pone.0136763. eCollection 2015.

43.

Exploring Dance Movement Data Using Sequence Alignment Methods.

Chavoshi SH, De Baets B, Neutens T, De Tré G, Van de Weghe N.

PLoS One. 2015 Jul 16;10(7):e0132452. doi: 10.1371/journal.pone.0132452. eCollection 2015.

44.

Milk fatty acids as possible biomarkers to diagnose hyperketonemia in early lactation.

Jorjong S, van Knegsel AT, Verwaeren J, Bruckmaier RM, De Baets B, Kemp B, Fievez V.

J Dairy Sci. 2015 Aug;98(8):5211-21. doi: 10.3168/jds.2014-8728. Epub 2015 Jun 17.

45.

A new protocol for evaluating the efficacy of some dispensing systems of a packaging in the microbial protection of water-based preservative-free cosmetic products.

Devlieghere F, De Loy-Hendrickx A, Rademaker M, Pipelers P, Crozier A, De Baets B, Joly L, Keromen S.

Int J Cosmet Sci. 2015 Dec;37(6):627-35. doi: 10.1111/ics.12240. Epub 2015 Jun 2.

PMID:
25945793
46.

A decoy-free approach to the identification of peptides.

Gonnelli G, Stock M, Verwaeren J, Maddelein D, De Baets B, Martens L, Degroeve S.

J Proteome Res. 2015 Apr 3;14(4):1792-8. doi: 10.1021/pr501164r. Epub 2015 Mar 6.

PMID:
25714903
47.

A comparison of strategies for estimation of ultrafine particle number concentrations in urban air pollution monitoring networks.

Reggente M, Peters J, Theunis J, Van Poppel M, Rademaker M, De Baets B, Kumar P.

Environ Pollut. 2015 Apr;199:209-18. doi: 10.1016/j.envpol.2015.01.034. Epub 2015 Feb 11.

PMID:
25681816
48.

Milk fatty acids as possible biomarkers to early diagnose elevated concentrations of blood plasma nonesterified fatty acids in dairy cows.

Jorjong S, van Knegsel AT, Verwaeren J, Lahoz MV, Bruckmaier RM, De Baets B, Kemp B, Fievez V.

J Dairy Sci. 2014 Nov;97(11):7054-64. doi: 10.3168/jds.2014-8039. Epub 2014 Sep 6.

49.

Multi-criteria anomaly detection in urban noise sensor networks.

Dauwe S, Oldoni D, De Baets B, Van Renterghem T, Botteldooren D, Dhoedt B.

Environ Sci Process Impacts. 2014;16(10):2249-58. doi: 10.1039/c4em00273c.

PMID:
25158107
50.

DAIRRy-BLUP: a high-performance computing approach to genomic prediction.

De Coninck A, Fostier J, Maenhout S, De Baets B.

Genetics. 2014 Jul;197(3):813-22. doi: 10.1534/genetics.114.163683. Epub 2014 Apr 15.

Supplemental Content

Loading ...
Support Center