Per Sort

@article{montagna-tccb2020,
   apice = {MontagnaTccb2020},
   author = {Montagna, Sara and Braccini, Michele and Roli, Andrea},
   doi = {10.1109/TCBB.2020.2968310},
   issn = {2374-0043},
   journal = {IEEE/ACM Transactions on Computational Biology and Bioinformatics},
   keywords = {Genetic regulatory networks model;Boolean networks;Self-Loops;Cell Differentiation},
   pages = {1--12},
   title = {{The Impact of Self-loops on Boolean Networks Attractor Landscape and Implications for Cell Differentiation Modelling}},
   url = {https://ieeexplore.ieee.org/document/8966265},
   year = 2020
}

@article{msbionet-simulation91,
   apice = {MSbionetSimulation2015},
   author = {Montagna, Sara and Viroli, Mirko and Roli, Andrea},
   doi = {10.1177/0037549715585569},
   eissn = {1741-3133},
   issn = {0037-5497},
   journal = {SIMULATION: Transactions of the Society for Modeling and Simulation International},
   keywords = {Multicellular systems biology, developmental biology, spatial stochastic multiscale model, Drosophila melanogaster, parameter estimation, metaheuristics},
   month = jun,
   number = 7,
   pages = {666--685},
   publisher = {SAGE},
   title = {A framework supporting multi-compartment stochastic simulation and parameter optimisation for investigating biological system development},
   volume = 91,
   year = 2015
}

@inproceedings{braccini-wivace2019,
   address = {Cham},
   apice = {BracciniWIVACE2019},
   author = {Braccini, Michele and Montagna, Sara and Roli, Andrea},
   booktitle = {Artificial Life and Evolutionary Computation},
   editor = {Cagnoni, Stefano},
   iris = {11585/691048},
   isbn = {978-3-030-21733-4},
   pages = {30--41},
   publisher = {Springer International Publishing},
   scopus = {2-s2.0-85067202680},
   title = {Self-loops Favour Diversification and Asymmetric Transitions Between Attractors in Boolean Network Models},
   url = {https://link.springer.com/10.1007/978-3-030-21733-4_3},
   year = 2019
}

@inproceedings{braccini-alife2019,
   apice = {BracciniALIFE2019},
   author = {Braccini, Michele and Roli, Andrea and Villani, Marco and Montagna, Sara and Serra, Roberto},
   booktitle = {The 2019 Conference on Artificial Life},
   doi = {10.1162/isal_a_00163},
   iris = {11585/693154},
   number = 31,
   pages = {211--217},
   title = {A simplified model of chromatin dynamics drives differentiation process in Boolean models of {GRN}},
   url = {https://www.mitpressjournals.org/doi/abs/10.1162/isal_a_00163},
   year = 2019
}

@inproceedings{montagna-wivace2017,
   address = {Cham},
   apice = {SelfloopsWivace2018},
   author = {Montagna, Sara and Braccini, Michele and Roli, Andrea},
   booktitle = {Artificial Life and Evolutionary Computation},
   doi = {10.1007/978-3-319-78658-2_8},
   editor = {Pelillo, Marcello and Poli, Irene and Roli, Andrea and Serra, Roberto and Slanzi, Debora and Villani, Marco},
   isbn = {978-3-319-78658-2},
   pages = {104--115},
   publisher = {Springer International Publishing},
   scopus = {2-s2.0-85045231827},
   title = {The Impact of Self-loops in Random Boolean Network Dynamics: A Simulation Analysis},
   url = {https://link.springer.com/10.1007/978-3-319-78658-2_8},
   year = 2018
}

@incollection{rbn-wivace2017,
   apice = {MontagnaWIVACE2017},
   author = {Montagna, Sara and Braccini, Michele and Roli, Andrea},
   booktitle = {WIVACE 2017 -- Book of Abstracts},
   editor = {Roli, Andrea and Slanzi, Debora and Villani, Marco},
   isbn = {978-88-903581-3-5},
   location = {Venice, Italy},
   month = {19--21~} # sep,
   note = {Extended Abstract},
   pag = {83--86},
   title = {The impact of self-loops in random boolean network dynamics},
   year = 2017
}

@proceedings{montagnaroli-aixia09,
   abstract = {In this paper we address the problem of tuning parameters of a biological model, in particular a simulator of stochastic processes. The task is defined as an optimisation problem over the parameter space in which the objective function to be minimised is the distance between the output of the simulator and a target one. We tackle the problem with a metaheuristic algorithm for continuous variables, Particle swarm optimisation, and show the effectiveness of the method in a prominent case-study, namely the mitogen-activated protein kinase cascade.},
   apice = {BiometaheuristicAIxIA09},
   author = {Montagna, Sara and Roli, Andrea},
   booktitle = {AI*IA 2009: Emergent Perspectives in Artificial Intelligence – XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia, Italy, December 9-12, 2009 Proceedings},
   doi = {10.1007/978-3-642-10291-2},
   editor = {Roberto Serra and Rita Cucchiara},
   isbn = {978-3-642-10290-5},
   numpages = 10,
   pages = {466--475},
   publisher = {Springer Berlin / Heidelberg},
   series = {Lecture Notes in Computer Science},
   title = {Parameter tuning of a stochastic biological simulator by metaheuristics},
   volume = 5883,
   year = 2009
}

@incollection{bratman90,
   address = {Cambridge, MA},
   apice = {Bratman90},
   author = {Bratman, Michael E.},
   booktitle = {Intentions in Communication},
   editor = {Cohen, Philip R. and Morgan, Jerry L. and Pollack, Martha E.},
   isbn = {978-0-262-03150-9},
   isbn10 = {0-262-03150-7},
   month = jun,
   pages = {15--32},
   publisher = {The MIT Press},
   title = {What is Intention?},
   url = {https://mitpress.mit.edu/9780262517041/intentions-in-communication/},
   year = 1990
}