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Found 4 papers, 1 papers with code
Combining expert knowledge and neural networks to model environmental stresses in agriculture
In this work we combine representation learning capabilities of neural network with agricultural knowledge from experts to model environmental heat and drought stresses.
Recurrent Point Processes for Dynamic Review Models
Recent progress in recommender system research has shown the importance of including temporal representations to improve interpretability and performance.
Recurrent Adversarial Service Times
Service system dynamics occur at the interplay between customer behaviour and a service provider's response.
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
It considers the source of knowledge, its representation, and its integration into the machine learning pipeline.
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