6 citations · 10 across the 4 of their papers we have counts for
4 papers
Abstract Simulation of Reaction Networks
Marie-Eva Fabri, Joachim Niehren, Sara Riva +1
Reaction networks model reactions between a finite set of species. These networks can be associated with different semantics, depending on the type of analysis and the phenomena un…
Self-mentoring: a new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation
Arnaud Deleruyelle, Cristian Versari, John Klein
Background: Accurate segmentation of microscopic structures such as bio-artificial capsules in microscopy imaging is a prerequisite to the computer-aided understanding of important…
SODA: Self-organizing data augmentation in deep neural networks -- Application to biomedical image segmentation tasks
Arnaud Deleruyelle, John Klein, Cristian Versari
In practice, data augmentation is assigned a predefined budget in terms of newly created samples per epoch. When using several types of data augmentation, the budget is usually uni…
A Process Calculus for Expressing Finite Place/Transition Petri Nets
Roberto Gorrieri, Cristian Versari
We introduce the process calculus Multi-CCS, which extends conservatively CCS with an operator of strong prefixing able to model atomic sequences of actions as well as multiparty s…