Machine learning in bioprocess development: From promise to practice

4 October 2022

Papers citing "Machine learning in bioprocess development: From promise to practice"

5 / 5 papers shown

Title
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 61 383 0 29 Apr 2021
Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors Clemens Hutter M. Stosch M. N. C. Bournazou A. Butté 23 30 0 27 Nov 2020
Variational Autoencoder with Learned Latent Structure Marissa Connor Gregory H. Canal Christopher Rozell CML DRL 47 43 0 18 Jun 2020
Applications of Deep Learning and Reinforcement Learning to Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain S. Vassanelli OffRL AI4CE 62 645 0 10 Nov 2017
Recent Advances in Convolutional Neural Networks Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy ... Xingxing Wang Li Wang Gang Wang Jianfei Cai Tsuhan Chen 124 5,184 0 22 Dec 2015