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