Matthias Medl
Dipl.-Ing. Matthias Medl
Institut für Statistik
Standort Peter-Jordan-Straße 82, 1190 Wien
Email matthias.medl@boku.ac.at
Tel: +43 1 47654-85121
Projekte
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Publikationen
Wissentransfer in die Gesellschaft
Medienbeiträge
Vorträge
Jahr: 2023 - Efficient identification of optimal process conditions with Gaussian processes
Autoren: Medl, M; Winter, M; Erdem, I; Dürauer, A; Scharl, T;
Veranstaltung: 42nd International Symposium on the Separation of Proteins, Peptides and Polynucleotides (ISPPP)
Jahr: 2023 - Uncovering the black-box of data-driven models in biotechnological process modeling
Autoren: Matthias Medl, Theresa Scharl, Friedrich Leisch, Astrid Dürauer
Veranstaltung: 42nd International Symposium on the Separation of Proteins, Peptides and Polynucleotides 2023
Jahr: 2023 - Application of CNN ensembles to model Fourier transform infrared spectra
Autoren: Matthias Medl, Theresa Scharl, Friedrich Leisch
Veranstaltung: STATISTICAL COMPUTING 2023
Jahr: 2022 - MD-dating of pinewood using FTIR-spectroscopy and statistical learning algorithms like random forests and CNNs
Autoren: Spangl, B; Medl, M; Tintner, J
Veranstaltung: International Workshop on Statistical Modelling
Jahr: 2022 - Deep Learning for Modelling High-dimensional Data of a Biopharmaceutical Purification Process
Autoren: Matthias Medl, Theresa Scharl, Astrid Dürauer, Friedrich Leisch
Veranstaltung: Austrian and Slovenian Statistical Days 2022
Jahr: 2022 - Deep learning to predict critical process parameters of an antibody capture process
Autoren: Matthias Medl, Theresa Scharl, Astrid Dürauer, Friedrich Leisch
Veranstaltung: 14th Annual Meeting ÖGMBT 2022 - Life Sciences - now more than ever
Jahr: 2022 - Permutation based variable importance determination for deep learning
Autoren: Matthias Medl, Theresa Scharl, Astrid Dürauer, Friedrich Leisch
Veranstaltung: 24th International Conference on Computational Statistics COMPSTAT 2022
Jahr: 2022 - Time Resolved Feature Importance of a Biopharmaceutical Purification Process Using Permutation Based Methods
Autoren: Matthias Medl, Theresa Scharl, Astrid Dürauer, Friedrich Leisch
Veranstaltung: 17th Conference of the International Federation of Classification Societies IFCS 2022 - Classification and Data Science in the Digital Age