4 citations · 4 across the 5 of their papers we have counts for
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cs.LG2026
A Human-in-the-Loop Bayesian Optimization Framework for Constraint-Aware Bioprocess Development
Samuel Stricker, Claus Wirnsperger, Alessandro Butté +4
This work presents an extension to Pareto Front Guided Sampling (PFGS), a Human-in-the-Loop (HitL) Bayesian Optimization (BO) framework in which Gaussian process (GP) surrogate-der…
cs.LG2022★ 4 cited
Machine learning in bioprocess development: From promise to practice
Laura Marie Helleckes, Johannes Hemmerich, Wolfgang Wiechert +2
Fostered by novel analytical techniques, digitalization and automation, modern bioprocess development provides high amounts of heterogeneous experimental data, containing valuable…