Self-stabilization is an elegant way of realizing non-masking fault-tolerant systems. Sustained research over last decades has produced multiple self-stabilizing algorithms for man...
Abhishek Dhama, Oliver E. Theel, Pepijn Crouzen, H...
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
Probabilistic B (pB) [2, 8] extends classical B [7] to incorporate probabilistic updates together with the specification of quantitative safety properties. As for classical B, prob...
Abstract. This paper presents the role of meta-modelling and graph transformation in our approach for the modelling, analysis and simulation of complex systems. These are made of c...
Documentation of knowledge about biological pathways is often informal and vague, making it difficult to efficiently synthesize the work of others into a holistic understanding of...