Projecten per jaar
Vingerafdruk
Verdiep u in de onderzoeksgebieden waarop Kyriakos Efthymiadis actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
- 1 Soortgelijke profielen
Netwerk
Recente externe samenwerking op landen-/regioniveau. Duik in de details door op de stippen te klikken of
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BRGCON28: Connect 2022: AI4WATSAF: op kunstmatige intelligentie gebaseerde tool voor waterveiligheid
Nowe, A., Balcaen, G. & Efthymiadis, K.
1/01/22 → 31/03/22
Project: Policy Based
Onderzoeksoutput
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A Framework for Flexibly Guiding Learning Agents
Elbarbari, M. A. H. M., Delgrange, F., Vervlimmeren, I., Efthymiadis, K., Vanderborght, B. & Nowe, A., 7 jun 2022, In: Neural Computing & Applications. 2022, blz. 1-17 17 blz., 1.Onderzoeksoutput: Article › peer review
Open AccessBestand33 Downloads (Pure) -
Convolutional neural network for automated peak detection in reversed-phase liquid chromatography
Kensert, A., Bosten, E., Collaerts, G., Efthymiadis, K., Van Broeck, P., Desmet, G. & Cabooter, D., 7 jun 2022, In: Journal of Chromatography A. 1672, 10 blz., 463005.Onderzoeksoutput: Article › peer review
3 Citaten (Scopus) -
Deep learning for biosignal control: insights from basic to real-time methods with recommendations
Dillen, A., Steckelmacher, D., Efthymiadis, K., Langlois, K., De Beir, A., Marusic, U., Vanderborght, B., Nowe, A., Meeusen, R., Ghaffari, F., Romain, O. & De Pauw, K., 28 feb 2022, In: Journal of Neural Engineering. 19, 1, 011003.Onderzoeksoutput: Article › peer review
Open AccessBestand1 Citaat (Scopus)67 Downloads (Pure) -
Graph neural networks for improved retention time predictions and molecular identification
Kensert, A., Bouwmeester, R., Efthymiadis, K., Van Broeck, P., Desmet, G. & Cabooter, D., mei 2022, 17th International Symposium on Hyphenated Techniques in Chromatography and Separation Technology (HTC-17): Book of Abstracts. Leuven, Belgium: KU Leuven, blz. 88-88 1 blz.Onderzoeksoutput: Meeting abstract (Book)
Open AccessBestand1 Downloads (Pure) -
Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms
Kensert, A., Collaerts, G., Efthymiadis, K., Van Broeck, P., Desmet, G. & Cabooter, D., 7 jun 2021, In: Journal of Chromatography A. 1646, 462093.Onderzoeksoutput: Article › peer review
8 Citaten (Scopus)
Activiteiten
- 2 Talk or presentation at a conference
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Possibilities of Machine Learning for Automation of Method Development in Liquid Chromatography
Deirdre Cabooter (Keynote speaker), Alexander Kensert (Contributor), Gilles Collaerts (Contributor), Emery Bosten (Contributor), Kyriakos Efthymiadis (Contributor), Peter Van Broeck (Contributor) & Gert Desmet (Contributor)
23 jun 2022Activiteit: Talk or presentation at a conference
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Graph neural networks for improved retention time predictions and molecular identification
Alexander Kensert (Speaker), Robbin Bouwmeester (Contributor), Kyriakos Efthymiadis (Contributor), Peter Van Broeck (Contributor), Gert Desmet (Contributor) & Deirdre Cabooter (Contributor)
18 mei 2022 → 20 mei 2022Activiteit: Talk or presentation at a conference