Michiel STOCK

michiel.stock@ugent.be
@KERMIT, office 110.54
(+32) 9 264.60.18

linkedin logo Stock Michiel
ORCID logo https://orcid.org/0000-0003-0903-6061
Biblio logoBiblio UGent
Google Scholar logoGoogle Scholar
Twitter #michielstock
Twitterhttps://michielstock.github.io/

Research Interests:

Machine learning methods for understanding, predicting and controlling community ecosystems.

Learning from networks

Journal papers Conference papers

Journal papers

Biblio logo(10) Optimising predictive models to prioritise viral discovery in zoonotic reservoirs
D.J. Becker, G.F. Albery, A.R. Sjodin, T. Poisot, L.M. Bergner, B. Chen, L.E. Cohen, T.A. Dallas, E.A. Eskew, A.C. Fagre, M.J. Farrell, S. Guth, B.A. Han, N.B. Simmons, M. Stock, E.C. Teeling and C.J. Carlson
(2022) THE LANCET MICROBE. 3, e625-e637.
Biblio logo(9) Leveraging plant physiological dynamics using physical reservoir computing
O. Pieters, T. De Swaef, M. Stock and F. wyffels
(2022) SCIENTIFIC REPORTS. 12, 12594.
Biblio logo(8) Machine learning techniques to characterize functional traits of plankton from image data
E. Orenstein, S.-D. Ayata, F. Maps, T. Biard, E. Becker, F. Benedetti, T. de Garidel-Thoron, J.S. Ellen, F. Ferrario, S.L.C. Giering, T. Guy-Haim, L. Hoebeke, M. Iversen, T. Kiørboe, J.-F. Lalonde, A. Lana, M. Laviale, F. Lombard, T. Lorimer, S. Martini, A. Meyer, K.O. Möller, B. Niehoff, M. Ohman, C. Pradalier, J.-B. Romagnan, S.-M. Schröder, V. Sonnet, H.M. Sosik, L. Stemmann, M. Stock, T. Terbiyik-Kurt, N. Valcàrcel-Pérez, L. Vilgrain, G. Wacquet, A. Waite and J.-O. Irisson
(2022) LIMNOLOGY AND OCEANOGRAPHY. 67, 1647-1669.
Biblio logo(7) Machine learning to assist in large-scale, activity-based synthetic cannabinoid receptor agonist screening of serum samples
L. Janssens, D. Boeckaerts, S. Hudson, D. Morozova, A. Cannaert, D.M. Wood, C. Wolfe, B. De Baets, M. Stock, P.I. Dargan and C.P. Stove
(2022) CLINICAL CHEMISTRY. 68, 906-916.
Biblio logo(6) Covering the combinatorial design space of multiplex CRISPR/Cas experiments in plants
K. Van Huffel, M. Stock, T. Ruttink and B. De Baets
(2022) FRONTIERS IN PLANT SCIENCE. 13, 907095.
Biblio logo(5) Identification of phage receptor-binding protein sequences with hidden Markov models and an extreme gradient boosting classifier
D. Boeckaerts, M. Stock, B. De Baets and Y. Briers
(2022) VIRUSES. 14, 1329.
Biblio logo(4) Equivalent electrical circuits and their use across electrochemical impedance spectroscopy application domains
M. Van Haeverbeke, M. Stock and B. De Baets
(2022) IEEE ACCESS. 10, 51363-51379.
Biblio logo(3) Hydraulics and beyond: a review on water potential as pivotal driver of physiological processes in plant models
T. De Swaef, O. Pieters, S. Appeltans, I. Borra-Serrano, W. Coudron, V. Couvreur, S. Garré, P. Lootens, B. Nicolaï, L. Pols, C. Saint Cast, J. Šalagovič, M. Van Haeverbeke, M. Stock and F. wyffels
(2022) IN SILICO PLANTS. 4, 1-28.
Biblio logo(2) BioCCP.jl: Collecting Coupons in combinatorial biotechnology
K. Van Huffel, M. Stock and B. De Baets
(2022) BIOINFORMATICS. 38, 1144-1145.
Biblio logo(1) Digital phagograms: predicting phage infectivity through a multi-layer machine learning approach
C. Lood, D. Boeckaerts, M. Stock, B. De Baets, R. Lavigne, V. Van Noort and Y. Briers
(2022) CURRENT OPINION IN VIROLOGY. 52, 174-181.

Conference papers