2 citations · 3 across the 3 of their papers we have counts for
3 papers
Ontology Pre-training for Poison Prediction
Martin Glauer, Fabian Neuhaus, Till Mossakowski +1
Integrating human knowledge into neural networks has the potential to improve their robustness and interpretability. We have developed a novel approach to integrate knowledge from…
ESC-Rules: Explainable, Semantically Constrained Rule Sets
Martin Glauer, Robert West, Susan Michie +1
We describe a novel approach to explainable prediction of a continuous variable based on learning fuzzy weighted rules. Our model trains a set of weighted rules to maximise predict…
An Institution for Simple UML State Machines
Alexander Knapp, Till Mossakowski, Markus Roggenbach +1
We present an institution for UML state machines without hierarchical states. The interaction with UML class diagrams is handled via institutions for guards and actions, which prov…