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Kyriakos Efthymiadis

Showing results (1-10 of 8) with videos related to

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Journal of Chromatography. A|August 22, 2020
Application of evolutionary algorithms to optimise one- and two-dimensional gradient chromatographic separationsBram Huygens, Kyriakos Efthymiadis, Ann Nowé, et al.
Journal of Chromatography. A|January 23, 2021
Deep Q-learning for the selection of optimal isocratic scouting runs in liquid chromatographyAlexander Kensert, Gilles Collaerts, Kyriakos Efthymiadis, et al.
Journal of Chromatography. A|April 14, 2021
Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatogramsAlexander Kensert, Gilles Collaerts, Kyriakos Efthymiadis, et al.
Analytical Chemistry|November 15, 2021
Graph Convolutional Networks for Improved Prediction and Interpretability of Chromatographic Retention DataAlexander Kensert, Robbin Bouwmeester, Kyriakos Efthymiadis, et al.
Journal of Chromatography. A|April 17, 2022
Convolutional neural network for automated peak detection in reversed-phase liquid chromatographyAlexander Kensert, Emery Bosten, Gilles Collaerts, et al.
Molecular Informatics|December 18, 2022
Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithmLeander Schietgat, Bertrand Cuissart, Kurt De Grave, et al.
Journal of Neural Engineering|January 27, 2022
Deep learning for biosignal control: insights from basic to real-time methods with recommendationsArnau Dillen, Denis Steckelmacher, Kyriakos Efthymiadis, et al.
Euro Surveillance : Bulletin Europeen Sur Les Maladies Transmissibles = European Communicable Disease Bulletin|December 20, 2018
Assessment of metagenomic Nanopore and Illumina sequencing for recovering whole genome sequences of chikungunya and dengue viruses directly from clinical samplesLiana E Kafetzopoulou, Kyriakos Efthymiadis, Kuiama Lewandowski, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Chromatography. A|August 22, 2020
Application of evolutionary algorithms to optimise one- and two-dimensional gradient chromatographic separationsBram Huygens, Kyriakos Efthymiadis, Ann Nowé, et al.
Journal of Chromatography. A|January 23, 2021
Deep Q-learning for the selection of optimal isocratic scouting runs in liquid chromatographyAlexander Kensert, Gilles Collaerts, Kyriakos Efthymiadis, et al.
Journal of Chromatography. A|April 14, 2021
Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatogramsAlexander Kensert, Gilles Collaerts, Kyriakos Efthymiadis, et al.
Analytical Chemistry|November 15, 2021
Graph Convolutional Networks for Improved Prediction and Interpretability of Chromatographic Retention DataAlexander Kensert, Robbin Bouwmeester, Kyriakos Efthymiadis, et al.
Journal of Chromatography. A|April 17, 2022
Convolutional neural network for automated peak detection in reversed-phase liquid chromatographyAlexander Kensert, Emery Bosten, Gilles Collaerts, et al.
Molecular Informatics|December 18, 2022
Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithmLeander Schietgat, Bertrand Cuissart, Kurt De Grave, et al.
Journal of Neural Engineering|January 27, 2022
Deep learning for biosignal control: insights from basic to real-time methods with recommendationsArnau Dillen, Denis Steckelmacher, Kyriakos Efthymiadis, et al.
Euro Surveillance : Bulletin Europeen Sur Les Maladies Transmissibles = European Communicable Disease Bulletin|December 20, 2018
Assessment of metagenomic Nanopore and Illumina sequencing for recovering whole genome sequences of chikungunya and dengue viruses directly from clinical samplesLiana E Kafetzopoulou, Kyriakos Efthymiadis, Kuiama Lewandowski, et al.
Pageof 1