activity
20102019
most citedA Graph Grammar for Modelling RNA Folding

8 citations · 29 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LO2019

Topological Run-time Monitoring for Complex Systems

Matteo Rucco, Luca Tesei, Emanuela Merelli

In this paper we introduce a new data-driven run-time monitoring system for analysing the behaviour of time evolving complex systems. The monitor controls the evolution of the whol…

cs.FL2016★ 8 cited

A Graph Grammar for Modelling RNA Folding

Adane Letta Mamuye, Emanuela Merelli, Luca Tesei

We propose a new approach for modelling the process of RNA folding as a graph transformation guided by the global value of free energy. Since the folding process evolves towards a…

cs.ET2015

Topological characterization of S[B] systems: From data to models of complexity

Emanuela Merelli, Matteo Rucco, Peter Sloot +1

In this paper we propose a methodology for deriving a model of a complex system by exploiting the information extracted from Topological Data Analysis. Central to our approach is t…

q-bio.PE2014★ 1 cited

Estimation and Modelling of PCBs Bioaccumulation in the Adriatic Sea Ecosystem

Marianna Taffi, Nicola Paoletti, Pietro Liò +3

Persistent Organic Pollutants represent a global ecological concern due to their ability to accumulate in organisms and to spread species-by-species via feeding connections. In thi…

cs.SE2014★ 2 cited

Adaptability Checking in Multi-Level Complex Systems

Emanuela Merelli, Nicola Paoletti, Luca Tesei

A hierarchical model for multi-level adaptive systems is built on two basic levels: a lower behavioural level B accounting for the actual behaviour of the system and an upper struc…

cs.LO2012★ 5 cited

A multi-level model for self-adaptive systems

Emanuela Merelli, Nicola Paoletti, Luca Tesei

This work introduces a general multi-level model for self-adaptive systems. A self-adaptive system is seen as composed by two levels: the lower level describing the actual behaviou…

cs.FL2011

Multiscale Modelling: A Mobile Membrane Approach

Federico Buti, Massimo Callisto De Donato, Flavio Corradini +2

Nowadays, multiscale modelling is recognized as the most suitable way to study biological processes. Indeed, almost every phenomenon in nature exhibits a multiscale behaviour, i.e.…

cs.LO2011

A Testing Framework for P Systems

Roberto Barbuti, Diletta Romana Cacciagrano, Andrea Maggiolo-Schettini +2

Testing equivalence was originally defined by De Nicola and Hennessy in a process algebraic setting (CCS) with the aim of defining an equivalence relation between processes being l…

cs.PL2010★ 2 cited

Shape Calculus: Timed Operational Semantics and Well-formedness

Ezio Bartocci, Diletta Romana Cacciagrano, Maria Rita Di Berardini +2

The Shape Calculus is a bio-inspired calculus for describing 3D shapes moving in a space. A shape forms a 3D process when combined with a behaviour. Behaviours are specified with a…

cs.CE2010★ 8 cited

Multiscale Bone Remodelling with Spatial P Systems

Diletta Cacciagrano, Flavio Corradini, Emanuela Merelli +1

Many biological phenomena are inherently multiscale, i.e. they are characterized by interactions involving different spatial and temporal scales simultaneously. Though several appr…

cs.FL2010★ 3 cited

An Individual-based Probabilistic Model for Fish Stock Simulation

Federico Buti, Flavio Corradini, Emanuela Merelli +3

We define an individual-based probabilistic model of a sole (Solea solea) behaviour. The individual model is given in terms of an Extended Probabilistic Discrete Timed Automaton (E…