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(6) Predictive design of sigma factor-specific promoters
M. Van Brempt, J. Clauwaert, F. Mey, M. Stock, J. Maertens, W. Waegeman and M. De Mey
(2020) NATURE COMMUNICATIONS. 11, 5822.
Biblio logo(5) Limitations of snapshot hyperspectral cameras to monitor plant response dynamics in stress-free conditions
O. Pieters, T. De Swaef, P. Lootens, M. Stock, I. Roldán-Ruiz and F. wyffels
(2020) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 179, 105825.
Biblio logo(4) Information content in pollination network reveals missing interactions
M. Stock, N. Piot, S. Vanbesien, B. Vaissière, C. Coiffait-Gombault, G. Smagghe and B. De Baets
(2020) ECOLOGICAL MODELLING. 431, 109161.
Biblio logo(3) Gloxinia - An open-source sensing platform to monitor the dynamic responses of plants
O. Pieters, T. De Swaef, P. Lootens, M. Stock, I. Roldán-Ruiz and F. wyffels
(2020) SENSORS. 20, 3055.
Biblio logo(2) Predicting pharmaceutical particle size distributions using kernel mean embedding
D. Van Hauwermeiren, M. Stock, T. De Beer and I. Nopens
(2020) PHARMACEUTICS. 12, 271.
Biblio logo(1) Algebraic shortcuts for leave-one-out cross-validation in supervised network inference
M. Stock, T. Pahikkala, A. Airola, W. Waegeman and B. De Baets
(2020) BRIEFINGS IN BIOINFORMATICS. 21, 262-271.

Conference papers