| 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 | 122 | 2018 |
| Dynamical probabilistic P systems D Pescini, D Besozzi, G Mauri, C Zandron International Journal of Foundations of Computer Science 17 (01), 183-204, 2006 | 119 | 2006 |
| 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, 2017 | 111 | 2017 |
| USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets L Rundo, C Han, Y Nagano, J Zhang, R Hataya, C Militello, A Tangherloni, ... Neurocomputing 365, 31-43, 2019 | 80 | 2019 |
| Modelling metapopulations with stochastic membrane systems D Besozzi, P Cazzaniga, D Pescini, G Mauri Biosystems 91 (3), 499-514, 2008 | 68 | 2008 |
| MedGA: a novel evolutionary method for image enhancement in medical imaging systems L Rundo, A Tangherloni, MS Nobile, C Militello, D Besozzi, G Mauri, ... Expert Systems with Applications 119, 387-399, 2019 | 63 | 2019 |
| 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 | 55 | 2012 |
| 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 | 54 | 2014 |
| 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 | 54 | 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 | 52 | 2006 |
| AP system description of the sodium-potassium pump D Besozzi, G Ciobanu International Workshop on Membrane Computing, 210-223, 2004 | 50 | 2004 |
| 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 | 44 | 2014 |
| 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 | 43 | 2012 |
| 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 | 43 | 2009 |
| 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 | 39 | 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), 1-17, 2012 | 39 | 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 | 36 | 2015 |
| 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 | 32 | 2012 |
| Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design A Tangherloni, S Spolaor, P Cazzaniga, D Besozzi, L Rundo, G Mauri, ... Applied Soft Computing 81, 105494, 2019 | 31 | 2019 |
| A novel framework for MR image segmentation and quantification by using MedGA L Rundo, A Tangherloni, P Cazzaniga, MS Nobile, G Russo, MC Gilardi, ... Computer methods and programs in biomedicine 176, 159-172, 2019 | 31 | 2019 |
