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Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
On the effects of biased quantum random numbers on the initialization of artificial neural networks
Feature selection on quantum computers
Benchmarking table recognition performance on biomedical literature on neurological disorders
CLEP: A hybrid data- and knowledge-driven framework for generating patient representations
How Does Knowledge Injection Help in Informed Machine Learning?
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism
A machine learning method for the identification and characterization of novel COVID-19 drug targets
Quantum Feature Selection
A hybrid approach for identifying drug repurposing candidates and their mechanisms
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