Dynamical probabilistic P systems D Pescini, D Besozzi, G Mauri, C Zandron International Journal of Foundations of Computer Science 17 (01), 183-204, 2006 | 115 | 2006 |
Dynamical probabilistic P systems D Pescini, D Besozzi, G Mauri, C Zandron International Journal of Foundations of Computer Science 17 (01), 183-204, 2006 | 115 | 2006 |
Modelling metapopulations with stochastic membrane systems D Besozzi, P Cazzaniga, D Pescini, G Mauri Biosystems 91 (3), 499-514, 2008 | 66 | 2008 |
Graphics processing units in bioinformatics, computational biology and systems biology MS Nobile, P Cazzaniga, A Tangherloni, D Besozzi Briefings in bioinformatics 18 (5), 870-885, 2016 | 57 | 2016 |
A GPU-based multi-swarm PSO method for parameter estimation in stochastic biological systems exploiting discrete-time target series MS Nobile, D Besozzi, P Cazzaniga, G Mauri, D Pescini European Conference on Evolutionary Computation, Machine Learning and Data …, 2012 | 50 | 2012 |
Modeling and stochastic simulation of the Ras/cAMP/PKA pathway in the yeast Saccharomyces cerevisiae evidences a key regulatory function for intracellular guanine nucleotides pools P Cazzaniga, D Pescini, D Besozzi, G Mauri, S Colombo, E Martegani Journal of biotechnology 133 (3), 377-385, 2008 | 50 | 2008 |
Tau leaping stochastic simulation method in p systems P Cazzaniga, D Pescini, D Besozzi, G Mauri International Workshop on Membrane Computing, 298-313, 2006 | 50 | 2006 |
AP system description of the sodium-potassium pump D Besozzi, G Ciobanu International Workshop on Membrane Computing, 210-223, 2004 | 47 | 2004 |
Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization MS Nobile, P Cazzaniga, D Besozzi, R Colombo, G Mauri, G Pasi Swarm and evolutionary computation 39, 70-85, 2018 | 44 | 2018 |
A comparison of genetic algorithms and particle swarm optimization for parameter estimation in stochastic biochemical systems D Besozzi, P Cazzaniga, G Mauri, D Pescini, L Vanneschi European Conference on Evolutionary Computation, Machine Learning and Data …, 2009 | 40 | 2009 |
GPU-accelerated simulations of mass-action kinetics models with cupSODA MS Nobile, P Cazzaniga, D Besozzi, G Mauri The Journal of Supercomputing 69 (1), 17-24, 2014 | 39 | 2014 |
Computational strategies for a system-level understanding of metabolism P Cazzaniga, C Damiani, D Besozzi, R Colombo, MS Nobile, D Gaglio, ... Metabolites 4 (4), 1034-1087, 2014 | 38 | 2014 |
The role of feedback control mechanisms on the establishment of oscillatory regimes in the Ras/cAMP/PKA pathway in S. cerevisiae D Besozzi, P Cazzaniga, D Pescini, G Mauri, S Colombo, E Martegani EURASIP Journal on Bioinformatics and Systems Biology 2012 (1), 10, 2012 | 32 | 2012 |
cuTauLeaping: A GPU-powered tau-leaping stochastic simulator for massive parallel analyses of biological systems MS Nobile, P Cazzaniga, D Besozzi, D Pescini, G Mauri PLoS One 9 (3), e91963, 2014 | 30 | 2014 |
Computational and modelling power of P systems D Besozzi University of Milan, 2004 | 29 | 2004 |
Simulation of the Ras/cAMP/PKA pathway in budding yeast highlights the establishment of stable oscillatory states D Pescini, P Cazzaniga, D Besozzi, G Mauri, L Amigoni, S Colombo, ... Biotechnology advances 30 (1), 99-107, 2012 | 26 | 2012 |
Analysis and simulation of dynamics in probabilistic P systems D Pescini, D Besozzi, C Zandron, G Mauri International Workshop on DNA-Based Computers, 236-247, 2005 | 26 | 2005 |
An excursion in reaction systems: From computer science to biology L Corolli, C Maj, F Marini, D Besozzi, G Mauri Theoretical computer science 454, 95-108, 2012 | 25 | 2012 |
The impact of particles initialization in PSO: parameter estimation as a case in point P Cazzaniga, MS Nobile, D Besozzi 2015 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2015 | 23 | 2015 |
Proactive particles in swarm optimization: a self-tuning algorithm based on fuzzy logic MS Nobile, G Pasi, P Cazzaniga, D Besozzi, R Colombo, G Mauri 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2015 | 23 | 2015 |