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Found 5 papers, 1 papers with code
Industry-Scale Orchestrated Federated Learning for Drug Discovery
To apply federated learning to drug discovery we developed a novel platform in the context of European Innovative Medicines Initiative (IMI) project MELLODDY (grant n{\deg}831472), which was comprised of 10 pharmaceutical companies, academic research labs, large industrial companies and startups.
Collaborative Drug Discovery: Inference-level Data Protection Perspective
Pharmaceutical industry can better leverage its data assets to virtualize drug discovery through a collaborative machine learning platform.
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
We introduce here the first deep learning approach for sleep stage classification that learns end-to-end without computing spectrograms or extracting hand-crafted features, that exploits all multivariate and multimodal Polysomnography (PSG) signals (EEG, EMG and EOG), and that can exploit the temporal context of each 30s window of data.
Morpheo: Traceable Machine Learning on Hidden data
Morpheo is a transparent and secure machine learning platform collecting and analysing large datasets.
A biological gradient descent for prediction through a combination of STDP and homeostatic plasticity
Identifying, formalizing and combining biological mechanisms which implement known brain functions, such as prediction, is a main aspect of current research in theoretical neuroscience.
