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RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy
Mario Koddenbrock, Christoph Lange, Robin Legner +6
Machine Learning (ML) has transformed many scientific fields, yet key applications still lack standardized benchmarks. Raman spectroscopy, a widely used technique for non-invasive…
Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations
Christoph Lange, Isabel Thiele, Lara Santolin +4
In biotechnology Raman Spectroscopy is rapidly gaining popularity as a process analytical technology (PAT) that measures cell densities, substrate- and product concentrations. As i…
Deep Learning for Fast Inference of Mechanistic Models' Parameters
Maxim Borisyak, Stefan Born, Peter Neubauer +1
Inferring parameters of macro-kinetic growth models, typically represented by Ordinary Differential Equations (ODE), from the experimental data is a crucial step in bioprocess engi…
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries
Maxim Borisyak, Stefan Born, Peter Neubauer +1
Cultivation experiments often produce sparse and irregular time series. Classical approaches based on mechanistic models, like Maximum Likelihood fitting or Monte-Carlo Markov chai…