The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Background: Many biological processes involve the physical interaction between protein domains. Understanding these functional associations requires knowledge of the molecular str...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Associations are a widely used construct of object-oriented languages. However, the meaning of associations for conceptual modelling of application domains remains unclear. This pa...
: A wealth of current research in microengineering aims at fabricating devices of increasing complexity, notably by (self-)assembling elementary components into heterogeneous funct...