Paolo Cazzaniga

95 papers B 16C 14Journal 40Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Pipeline for Automated Phenotype Extraction from Medical Reports Using Large Language Models. BIOSTEC (3) Andrea Bombarda, Martina Saletta, Matteo Bellini, Lucrezia Goisis, Maria Iascone, Paolo Cazzaniga, Domenico Fabio Savo
2025	—	`conf`	Automated Phenotype-Based Clustering of Clinical Reports Using Large Language Models. AIME (2) Martina Saletta, Andrea Bombarda, Matteo Bellini, Lucrezia Goisis, Paolo Cazzaniga, Maria Iascone, Domenico Fabio Savo
2025	—	`conf`	We Are Sending You Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization. EvoApplications (2) Daniele M. Papetti, Andrea Tangherloni, Vasco Coelho, Daniela Besozzi, Paolo Cazzaniga, Marco S. Nobile
2024	C	`conf`	A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems. CIBCB Andrea Tangherloni, Paolo Cazzaniga, Nicolò Stranieri, Francesca M. Buffa, Marco S. Nobile
2024	B	`conf`	A Modified EACOP Implementation for Real-Parameter Single Objective Optimization Problems. CEC Andrea Tangherloni, Vasco Coelho, Francesca M. Buffa, Paolo Cazzaniga
2023	J	`jnl`	Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning. Frontiers Bioinform. Daniele M. Papetti, Simone Spolaor, Iman Nazari, Andrea Tirelli, Tommaso Leonardi, Chiara Caprioli, Daniela Besozzi, Thalia Vlachou, Pier Giuseppe Pelicci, Paolo Cazzaniga, Marco S. Nobile
2023	C	`conf`	Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data. CIBCB Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Francesca M. Buffa, Andrea Tangherloni
2023	J	`jnl`	MAGNETO: Cell type marker panel generator from single-cell transcriptomic data. J. Biomed. Informatics Andrea Tangherloni, Simone G. Riva, Brynelle Myers, Francesca M. Buffa, Paolo Cazzaniga
2023	J	`jnl`	Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. IEEE Comput. Intell. Mag. Daniele M. Papetti, Andrea Tangherloni, Davide Farinati, Paolo Cazzaniga, Leonardo Vanneschi
2023	B	`conf`	The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. CEC Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
2023	J	`jnl`	Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies. Expert Syst. Appl. Marco S. Nobile, Giulia Capitoli, Virgil Sowirono, Francesca Clerici, Isabella Piga, Kirsten van Abeelen, Fulvio Magni, Fabio Pagni, Stefania Galimberti, Paolo Cazzaniga, Daniela Besozzi
2022	C	`conf`	A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data. CIBCB Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Andrea Tangherloni
2022	—	`ed.`	Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15-17, 2021, Revised Selected Papers CIBB Davide Chicco, Angelo M. Facchiano, Erica Tavazzi, Enrico Longato, Martina Vettoretti, Anna Bernasconi, Simone Avesani, Paolo Cazzaniga
2022	C	`conf`	Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization. CIBCB Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile
2022	C	`conf`	Multi-objective Optimization for Marker Panel Identification in Single-cell Data. CIBCB Andrea Tangherloni, Simone G. Riva, Brynelle Myers, Paolo Cazzaniga
2022	J	`jnl`	SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks. Symmetry Simone G. Riva, Paolo Cazzaniga, Marco S. Nobile, Simone Spolaor, Leonardo Rundo, Daniela Besozzi, Andrea Tangherloni
2021	J	`jnl`	A CUDA-powered method for the feature extraction and unsupervised analysis of medical images. J. Supercomput. Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Matteo Mistri, Simone Galimberti, Ramona Woitek, Evis Sala, Giancarlo Mauri, Marco S. Nobile
2021	C	`conf`	A comparison of multi-objective optimization algorithms to identify drug target combinations. CIBCB Simone Spolaor, Daniele M. Papetti, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
2021	J	`jnl`	FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks. PLoS Comput. Biol. Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Giulia Capitoli, Simone Spolaor, Leonardo Rundo, Giancarlo Mauri, Daniela Besozzi
2021	B	`conf`	If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions. CEC Daniele M. Papetti, Daniel A. Ashlock, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
2021	—	`conf`	Integration of Multiple scRNA-Seq Datasets on the Autoencoder Latent Space. BIBM Simone G. Riva, Paolo Cazzaniga, Andrea Tangherloni
2021	J	`jnl`	Investigating the performance of multi-objective optimization when learning Bayesian Networks. Neurocomputing Marco S. Nobile, Paolo Cazzaniga, Daniele Ramazzotti
2021	J	`jnl`	Selected papers from the 15th and 16th international conference on Computational Intelligence Methods for Bioinformatics and Biostatistics. BMC Bioinform. Paolo Cazzaniga, Maria Raposo, Daniela Besozzi, Ivan Merelli, Antonino Staiano, Angelo Ciaramella, Riccardo Rizzo, Luca Manzoni
2021	B	`conf`	The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data. CEC Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga
2020	—	`ed.`	Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4-6, 2019, Revised Selected Papers CIBB Paolo Cazzaniga, Daniela Besozzi, Ivan Merelli, Luca Manzoni
2020	J	`jnl`	Computational Intelligence for Life Sciences. Fundam. Informaticae Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni
2020	J	`jnl`	Coupling Mechanistic Approaches and Fuzzy Logic to Model and Simulate Complex Systems. IEEE Trans. Fuzzy Syst. Simone Spolaor, Marco S. Nobile, Giancarlo Mauri, Paolo Cazzaniga, Daniela Besozzi
2020	C	`conf`	Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess. CIBCB Marco S. Nobile, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Luca Manzoni
2020	J	`jnl`	Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells. Bioinform. Marco S. Nobile, Giuseppina Votta, Roberta Palorini, Simone Spolaor, Humberto De Vitto, Paolo Cazzaniga, Francesca Ricciardiello, Giancarlo Mauri, Lilia Alberghina, Ferdinando Chiaradonna, Daniela Besozzi
2020	B	`conf`	On the automatic calibration of fully analogical spiking neuromorphic chips. IJCNN Daniele M. Papetti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Marco Antoniotti, Marco S. Nobile
2020	J	`jnl`	Simpful: A User-Friendly Python Library for Fuzzy Logic. Int. J. Comput. Intell. Syst. Simone Spolaor, Caro Fuchs, Paolo Cazzaniga, Uzay Kaymak, Daniela Besozzi, Marco S. Nobile
2020	J	`jnl`	Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling. Entropy Luca Manzoni, Daniele M. Papetti, Paolo Cazzaniga, Simone Spolaor, Giancarlo Mauri, Daniela Besozzi, Marco S. Nobile
2020	B	`conf`	Which random is the best random? A study on sampling methods in Fourier surrogate modeling. CEC Marco S. Nobile, Simone Spolaor, Paolo Cazzaniga, Daniele M. Papetti, Daniela Besozzi, Daniel A. Ashlock, Luca Manzoni
2020	J	`jnl`	cuProCell: GPU-Accelerated Analysis of Cell Proliferation With Flow Cytometry Data. IEEE J. Biomed. Health Informatics Marco S. Nobile, Eric Nisoli, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi
2019	J	`jnl`	A novel framework for MR image segmentation and quantification by using MedGA. Comput. Methods Programs Biomed. Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Marco S. Nobile, Giorgio Russo, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Daniela Besozzi, Carmelo Militello
2019	J	`jnl`	Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design. Appl. Soft Comput. Andrea Tangherloni, Simone Spolaor, Paolo Cazzaniga, Daniela Besozzi, Leonardo Rundo, Giancarlo Mauri, Marco S. Nobile
2019	B	`conf`	Dilation Functions in Global Optimization. CEC Marco S. Nobile, Paolo Cazzaniga, Daniel A. Ashlock
2019	J	`jnl`	GenHap: a novel computational method based on genetic algorithms for haplotype assembly. BMC Bioinform. Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Pietro Liò, Ivan Merelli, Daniela Besozzi
2019	B	`conf`	HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels. PaCT Leonardo Rundo, Andrea Tangherloni, Simone Galimberti, Paolo Cazzaniga, Ramona Woitek, Evis Sala, Marco S. Nobile, Giancarlo Mauri
2019	J	`jnl`	MedGA: A novel evolutionary method for image enhancement in medical imaging systems. Expert Syst. Appl. Leonardo Rundo, Andrea Tangherloni, Marco S. Nobile, Carmelo Militello, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2019	J	`jnl`	Modeling cell proliferation in human acute myeloid leukemia xenografts. Bioinform. Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Daniela Bossi, Paolo Cazzaniga, Luisa Lanfrancone, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi
2019	C	`conf`	ProCell: Investigating cell proliferation with Swarm Intelligence. CIBCB Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi
2019	J	`jnl`	USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. Neurocomputing Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
2019	J	`jnl`	USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. CoRR Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
2019	J	`jnl`	ginSODA: massive parallel integration of stiff ODE systems on GPUs. J. Supercomput. Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri
2018	B	`conf`	Computational Intelligence for Parameter Estimation of Biochemical Systems. CEC Marco S. Nobile, Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2018	—	`conf`	Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization. CIBB Niccoló Totis, Andrea Tangherloni, Marco Beccuti, Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi, Marzio Pennisi, Francesco Pappalardo
2018	J	`jnl`	Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization. Swarm Evol. Comput. Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Riccardo Colombo, Giancarlo Mauri, Gabriella Pasi
2018	—	`conf`	GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis. Euro-Par Workshops Marco Beccuti, Paolo Cazzaniga, Marzio Pennisi, Daniela Besozzi, Marco S. Nobile, Simone Pernice, Giulia Russo, Andrea Tangherloni, Francesco Pappalardo
2018	C	`conf`	GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach. PDP Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Paolo Cazzaniga, Marco S. Nobile
2018	—	`conf`	High Performance Computing for Haplotyping: Models and Platforms. Euro-Par Workshops Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Liò
2018	J	`jnl`	Multi-objective optimization to explicitly account for model complexity when learning Bayesian Networks. CoRR Paolo Cazzaniga, Marco S. Nobile, Daniele Ramazzotti
2017	J	`jnl`	Efficient Simulation of Reaction Systems on Graphics Processing Units. Fundam. Informaticae Marco S. Nobile, Antonio E. Porreca, Simone Spolaor, Luca Manzoni, Paolo Cazzaniga, Giancarlo Mauri, Daniela Besozzi
2017	—	`conf`	Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance. CIBB Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Paolo Cazzaniga, Marco S. Nobile
2017	J	`jnl`	GPU-powered model analysis with PySB/cupSODA. Bioinform. Leonard A. Harris, Marco S. Nobile, James C. Pino, Alexander L. R. Lubbock, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Carlos F. Lopez
2017	J	`jnl`	GenHap: A novel computational method based on genetic algorithms for haplotype assembly. PeerJ Prepr. Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Ivan Merelli, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri, Pietro Liò
2017	J	`jnl`	Gillespie's Stochastic Simulation Algorithm on MIC coprocessors. J. Supercomput. Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri
2017	J	`jnl`	Graphics processing units in bioinformatics, computational biology and systems biology. Briefings Bioinform. Marco S. Nobile, Paolo Cazzaniga, Andrea Tangherloni, Daniela Besozzi
2017	J	`jnl`	LASSIE: simulating large-scale models of biochemical systems on GPUs. BMC Bioinform. Andrea Tangherloni, Marco S. Nobile, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2017	J	`jnl`	Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models. CoRR Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Marco Antoniotti
2017	C	`conf`	Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems. CIBCB Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga
2016	—	`conf`	COSYS: A Computational Infrastructure for Systems Biology. CIBB Fabio Cumbo, Marco S. Nobile, Chiara Damiani, Riccardo Colombo, Giancarlo Mauri, Paolo Cazzaniga
2016	C	`conf`	GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values. CIBCB Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga
2016	B	`conf`	GPU-powered and settings-free parameter estimation of biochemical systems. CEC Marco S. Nobile, Andrea Tangherloni, Daniela Besozzi, Paolo Cazzaniga
2016	C	`conf`	Parallel implementation of efficient search schemes for the inference of cancer progression models. CIBCB Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Marco Antoniotti
2015	B	`conf`	Parallelizing Biochemical Stochastic Simulations: A Comparison of GPUs and Intel Xeon Phi Processors. PaCT Paolo Cazzaniga, F. Ferrara, Marco S. Nobile, Daniela Besozzi, Giancarlo Mauri
2015	B	`conf`	Proactive Particles in Swarm Optimization: A self-tuning algorithm based on Fuzzy Logic. FUZZ-IEEE Marco S. Nobile, Gabriella Pasi, Paolo Cazzaniga, Daniela Besozzi, Riccardo Colombo, Giancarlo Mauri
2015	C	`conf`	The impact of particles initialization in PSO: Parameter estimation as a case in point. CIBCB Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi
2014	B	`conf`	A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information. IEEE Congress on Evolutionary Computation Marco S. Nobile, Andrea G. Citrolo, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri
2014	J	`jnl`	GPU-accelerated simulations of mass-action kinetics models with cupSODA. J. Supercomput. Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri
2014	C	`conf`	Simulation and Analysis of the Blood Coagulation Cascade Accelerated on GPU. PDP Matteo Bellini, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Marco S. Nobile
2013	—	`conf`	GPU-powered Simulation Methodologies for Biological Systems. WIVACE Daniela Besozzi, Giulio Caravagna, Paolo Cazzaniga, Marco S. Nobile, Dario Pescini, Alessandro Re
2013	J	`jnl`	In vivo and in silico analysis of PCNA ubiquitylation in the activation of the Post Replication Repair pathway in S. cerevisiae. BMC Syst. Biol. Flavio Amara, Riccardo Colombo, Paolo Cazzaniga, Dario Pescini, Attila Csikász-Nagy, Marco Falconi, Daniela Besozzi, Paolo Plevani
2013	B	`conf`	Reverse engineering of kinetic reaction networks by means of Cartesian Genetic Programming and Particle Swarm Optimization. IEEE Congress on Evolutionary Computation Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, Giancarlo Mauri
2013	—	`conf`	The foundation of Evolutionary Petri Nets. BioPPN@Petri Nets Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri
2013	B	`conf`	cupSODA: A CUDA-Powered Simulator of Mass-Action Kinetics. PaCT Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini
2012	—	`conf`	A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series. EvoBIO Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini
2012	—	`conf`	Estimating reaction constants in stochastic biological systems with a multi-swarm PSO running on GPUs. GECCO (Companion) Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini
2012	J	`jnl`	The role of feedback control mechanisms on the establishment of oscillatory regimes in the Ras/cAMP/PKA pathway in S. cerevisiae. EURASIP J. Bioinform. Syst. Biol. Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, Giancarlo Mauri, Sonia Colombo, Enzo Martegani
2011	B	`conf`	Grid Computing for Sensitivity Analysis of Stochastic Biological Models. PaCT Ivan Merelli, Dario Pescini, Ettore Mosca, Paolo Cazzaniga, Carlo Maj, Giancarlo Mauri, Luciano Milanesi
2011	J	`jnl`	Modeling Diffusion in a Signal Transduction Pathway: the Use of Virtual Volumes in P Systems. Int. J. Found. Comput. Sci. Daniela Besozzi, Paolo Cazzaniga, Stefania Cocolo, Giancarlo Mauri, Dario Pescini
2010	—	`conf`	An Analysis on the Influence of Network Topologies on Local and Global Dynamics of Metapopulation Systems AMCA-POP Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, Giancarlo Mauri
2010	—	`conf`	BioSimWare: A Software for the Modeling, Simulation and Analysis of Biological Systems. Int. Conf. on Membrane Computing Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini
2010	J	`jnl`	Computing with energy and chemical reactions. Nat. Comput. Alberto Leporati, Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, Claudio Ferretti
2010	—	`conf`	Modelling Spatial Heterogeneity and Macromolecular Crowding with Membrane Systems. Int. Conf. on Membrane Computing Ettore Mosca, Paolo Cazzaniga, Dario Pescini, Giancarlo Mauri, Luciano Milanesi
2009	J	`jnl`	(Tissue) P systems with cell polarity. Math. Struct. Comput. Sci. Daniela Besozzi, Nadia Busi, Paolo Cazzaniga, Claudio Ferretti, Alberto Leporati, Giancarlo Mauri, Dario Pescini, Claudio Zandron
2009	—	`conf`	A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems. EvoBIO Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini, Leonardo Vanneschi
2009	—	`conf`	A Multi-volume Approach to Stochastic Modeling with Membrane Systems. Algorithmic Bioprocesses Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, Giancarlo Mauri
2009	—	`conf`	A Novel Variant of P Systems for the Modelling and Simulation of Biochemical Systems. Workshop on Membrane Computing Paolo Cazzaniga, Giancarlo Mauri, Luciano Milanesi, Ettore Mosca, Dario Pescini
2009	—	`conf`	A study on the combined interplay between stochastic fluctuations and the number of flagella in bacterial chemotaxis COMPMOD Daniela Besozzi, Paolo Cazzaniga, Matteo Dugo, Dario Pescini, Giancarlo Mauri
2008	—	`conf`	First Steps Towards a Wet Implementation for t-DPP. Workshop on Membrane Computing Dario Pescini, Paolo Cazzaniga, Claudio Ferretti, Giancarlo Mauri
2008	J	`jnl`	Modelling metapopulations with stochastic membrane systems. Biosyst. Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, Giancarlo Mauri
2007	J	`jnl`	Cycles and communicating classes in membrane systems and molecular dynamics. Theor. Comput. Sci. Michael Muskulus, Daniela Besozzi, Robert Brijder, Paolo Cazzaniga, Sanne Houweling, Dario Pescini, Grzegorz Rozenberg
2006	—	`conf`	Tau Leaping Stochastic Simulation Method in P Systems. Workshop on Membrane Computing Paolo Cazzaniga, Dario Pescini, Daniela Besozzi, Giancarlo Mauri
2005	—	`conf`	P Systems with Memory. Workshop on Membrane Computing Paolo Cazzaniga, Alberto Leporati, Giancarlo Mauri, Claudio Zandron