Bortolussi L.  In Press.  Hybrid behaviour of Markov population models. Information and Computation. :-.

• DOI
• Google Scholar
• BibTex

 (3.14 MB)

Bortolussi L, Hillston J, Latella D, Massink M.  2013.  Continuous approximation of collective system behaviour: A tutorial. Performance Evaluation. 70:317–349.

• DOI
• Google Scholar
• BibTex

 (2.62 MB)

Pourranjbar A, Hillston J, Bortolussi L.  2012.  Don't Just Go with the Flow: Cautionary Tales of Fluid Flow Approximation. 9th European Workshop on Computer Performance Engineering, EPEW 2012, and 28th UK Workshop on Computer Performance Engineering, UKPEW 2012. 7587:156–171.

• DOI
• Google Scholar
• BibTex

Bortolussi L.  2012.  Hybrid Behaviour of Markov Population Models. CoRR ArXiv.

• Google Scholar
• BibTex

Bortolussi L, Policriti A.  2012.  Studying cancer-cell populations by programmable models of networks. Network Modeling Analysis In Health Informatics And Bioinformatics. 1:117–133.

• DOI
• Google Scholar
• BibTex

 (9.91 MB)

Bortolussi L, Policriti A.  2011.  Programmable models of growth and mutation of cancer-cell populations. COMPMOD 2011. 67:19--33.

• DOI
• Google Scholar
• BibTex

Bortolussi L, Galpin V, Hillston J, M. T.  2010.  Hybrid Semantics for PEPA. Seventh International Conference on the Quantitative Evaluation of Systems (QEST 2010). :181–190.

• DOI
• Google Scholar
• BibTex

 (233.46 KB)

Bortolussi L.  2010.  Limit behavior of the hybrid approximation of Stochastic Process Algebras. 17th International Conference on Analytical and Stochastic Modeling Techniques and Applications (ASMTA 2010). :367–381.

• DOI
• Google Scholar
• BibTex

 (584.23 KB)

Bortolussi L, Vigliotti MG.  2009.  CoBiC: Context-dependent Bioambient Calculus. QAPL 2009. 253:187–201.

• DOI
• Google Scholar
• BibTex

 (525.16 KB)

Bortolussi L, Policriti A.  2006.  Connecting Process Algebras and Differential Equations for Systems Biology. PASTA 2006. :1–17.

• Google Scholar
• BibTex