Mario Giacobini

发表

Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm

Christian Darabos, Mario Giacobini, Ting Hu, 2012, EvoBIO.

Pattern of Tick Aggregation on Mice: Larger Than Expected Distribution Tail Enhances the Spread of Tick-Borne Pathogens

Mario Giacobini, Luca Ferreri, Paolo Bajardi, 2014, PLoS Comput. Biol..

How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming

Leonardo Vanneschi, Marco Tomassini, Mario Giacobini, 2002, GECCO.

Robustness of Evolved Small-World Automata Networks

Marco Tomassini, Christian Darabos, Mario Giacobini, 2005 .

Applications of Evolutionary Computing

Mario Giacobini, Penousal Machado, Anikó Ekárt, 2009, Lecture Notes in Computer Science.

A network approach to investigate the aggregation phenomena in sports

Mario Giacobini, Luca Ferreri, Alberto Rainoldi, 2011 .

A Study on Gene Regulatory Network Reconstruction and Simulation

Giancarlo Mauri, Leonardo Vanneschi, Mario Giacobini, 2011, WIRN.

A Genetic Programming Approach to Predict Mosquitoes Abundance

Mario Giacobini, Luigi Bertolotti, Riccardo Gervasi, 2019, EuroGP.

Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems

Tom Lenaerts, Marco Dorigo, Mario Giacobini, 2011 .

Selection Intensity in Asynchronous Cellular Evolutionary Algorithms

Enrique Alba, Marco Tomassini, Mario Giacobini, 2003, GECCO.

Complex and dynamic population structures: synthesis, open questions, and future directions

Mario Giacobini, Jason H. Moore, Joshua L. Payne, 2013, Soft Comput..

A New Framework to Analyze Evolutionary 2 x 2 Symmetric Games

Mario Giacobini, Ugo Merlone, Umberto Cerruti, 2005, CIG.

The influence of grid shape and asynchronicity on cellular evolutionary algorithms

Enrique Alba, Marco Tomassini, Mario Giacobini, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism

Marco Tomassini, Christian Darabos, Mario Giacobini, 2011, EvoBio.

A comparison of machine learning techniques for survival prediction in breast cancer

Giancarlo Mauri, Leonardo Vanneschi, Mario Giacobini, 2011, BioData Mining.

Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework

Marco Tomassini, Christian Darabos, Mario Giacobini, 2014, Evolution, Complexity and Artificial Life.

Automatic hippocampus localization in histological images using Differential Evolution-based deformable models

Mario Giacobini, Stefano Cagnoni, Pablo Mesejo, 2013, Pattern Recognit. Lett..

Coevolution of rules and topology in cellular automata

Marco Tomassini, Christian Darabos, Mario Giacobini, 2013, GECCO '13 Companion.

Automatic segmentation of hippocampus in histological images of mouse brains using deformable models and random forest

Mario Giacobini, Stefano Cagnoni, Pablo Mesejo, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

Taxon ordering in phylogenetic trees: a workbench test

Mario Giacobini, Luigi Bertolotti, Francesco Cerutti, 2011, BMC Bioinformatics.

Takeover time curves in random and small-world structured populations

Marco Tomassini, Mario Giacobini, Andrea Tettamanzi, 2005, GECCO '05.

Contagion on Networks with Self-Organised Community Structure

Christian Darabos, Mario Giacobini, Seth Bullock, 2015, ECAL.

Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms

Marco Tomassini, Mario Giacobini, Andrea Tettamanzi, 2003, Artificial Evolution.

Toward robust network based complex systems: from evolutionary cellular automata to biological models

Marco Tomassini, Christian Darabos, Mario Giacobini, 2011, Intelligenza Artificiale.

Emergence of Structure and Stability in the Prisoner's Dilemma on Networks

Marco Tomassini, Mario Giacobini, Leslie Luthi, 2005, ECAL.

Cellular Automata Coevolution of Update Functions and Topologies: A Tradeoff between Accuracy and Speed

Marco Tomassini, Christian Darabos, Mario Giacobini, 2013, ECAL.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes: Preface

Rolf Drechsler, Franz Rothlauf, Mario Giacobini, 2007 .

Semi-synchronous Activation in Scale-Free Boolean Networks

Marco Tomassini, Christian Darabos, Mario Giacobini, 2007, ECAL.

Evolution and Dynamics of Small-World Cellular Automata

Marco Tomassini, Christian Darabos, Mario Giacobini, 2005, Complex Syst..

Transient Perturbations on Scale-Free Boolean Networks with Topology Driven Dynamics

Marco Tomassini, Christian Darabos, Mario Giacobini, 2009, ECAL.

Introduction to Special Section on Evolutionary Computation in Games

Mario Giacobini, Moshe Sipper, 2008, Genetic Programming and Evolvable Machines.

The structure of the genetic programming collaboration network

Marco Tomassini, Mario Giacobini, William B. Langdon, 2007, Genetic Programming and Evolvable Machines.

On the use of genetic programming for the prediction of survival in cancer

Giancarlo Mauri, Leonardo Vanneschi, Mario Giacobini, 2010, GECCO '10.

Evolution of Small-World Networks of Automata for Computation

Marco Tomassini, Christian Darabos, Mario Giacobini, 2004, PPSN.

Adding Vertical Meaning to Phylogenetic Trees by Artificial Evolution

Mario Giacobini, Luigi Bertolotti, Francesco Cerutti, 2009, ECAL.

Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners

Marco Tomassini, Mario Giacobini, Leslie Luthi, 2005, CIG.

A New Evolutionary Gene Regulatory Network Reverse Engineering Tool

Giancarlo Mauri, Leonardo Vanneschi, Mario Giacobini, 2011, EvoBio.

Are Cells Really Operating at the Edge of Chaos? - A Case Study of Two Real-Life Regulatory Networks

Marco Tomassini, Christian Darabos, Mario Giacobini, 2009, ECAL.

Automatic hippocampus localization in histological images using PSO-based deformable models

Mario Giacobini, Stefano Cagnoni, Pablo Mesejo, 2011, GECCO '11.

Erratum to: Chapter 3 Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework

Marco Tomassini, Christian Darabos, Mario Giacobini, 2014 .

A CAEV epidemiological model for goat breeding

Mario Giacobini, Luca Ferreri, Luigi Bertolotti, 2014, Appl. Math. Comput..

Scale-Free Automata Networks Are Not Robust in a Collective Computational Task

Marco Tomassini, Christian Darabos, Mario Giacobini, 2006, ACRI.

Interplay of network dynamics and ties heterogeneity on spreading dynamics

Mario Giacobini, Luca Ferreri, Paolo Bajardi, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Performance and Robustness of Cellular Automata Computation on Irregular Networks

Marco Tomassini, Christian Darabos, Mario Giacobini, 2007, Adv. Complex Syst..

Limiting the Number of Fitness Cases in Genetic Programming Using Statistics

Leonardo Vanneschi, Marco Tomassini, Mario Giacobini, 2002, PPSN.

A Vectorial Approach to Genetic Programming

Leonardo Vanneschi, Mario Giacobini, Sara Silva, 2019, EuroGP.

Towards the use of genetic programming in the ecological modelling of mosquito population dynamics

Leonardo Vanneschi, Mario Giacobini, Irene Azzali, 2020, Genetic Programming and Evolvable Machines.

Effects of Scale-Free and Small-World Topologies on Binary Coded Self-adaptive CEA

Marco Tomassini, Mario Giacobini, Mike Preuss, 2006, EvoCOP.

Special Issue for the 20th Anniversary of the European Conference on Artificial Life (ECAL 2011)

Tom Lenaerts, Marco Dorigo, Mario Giacobini, 2014, Artificial Life.

Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques

Giancarlo Mauri, Leonardo Vanneschi, Mario Giacobini, 2010, EvoBIO.

Applications of evolutionary computi

Franz Rothlauf, Mario Giacobini, Mike Preuss, 2009 .

Decentralized Cellular Evolutionary Algorithms

Enrique Alba, Marco Tomassini, Mario Giacobini, 2005, Handbook of Bioinspired Algorithms and Applications.

Investigating Populational Evolutionary Algorithms to Add Vertical Meaning in Phylogenetic Trees

Mario Giacobini, Luigi Bertolotti, Francesco Cerutti, 2010, EvoBIO.

The genetic programming collaboration network and its communities

Marco Tomassini, Mario Giacobini, William B. Langdon, 2007, GECCO '07.

Taxon ordering in phylogenetic trees by means of evolutionary algorithms

Mario Giacobini, Luigi Bertolotti, Francesco Cerutti, 2011, BioData Mining.

A GP approach for precision farming

Leonardo Vanneschi, Mario Giacobini, Marco Bona, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings

Mario Giacobini, Clara Pizzuti, Marylyn D. Ritchie, 2010, EvoBio.

Prediction of Binary Sequences by Evolving Finite State Machines

Mario Giacobini, Pierre Liardet, Umberto Cerruti, 2001, Artificial Evolution.

Improving Phylogenetic Tree Interpretability by Means of Evolutionary Algorithms

Mario Giacobini, Luigi Bertolotti, Francesco Cerutti, 2012, EvoBIO.

Proceedings of the 2008 conference on Applications of evolutionary computing

Rolf Drechsler, Mario Giacobini, Stefano Cagnoni, 2008 .

Selection intensity in cellular evolutionary algorithms for regular lattices

Enrique Alba, Marco Tomassini, Mario Giacobini, 2005, IEEE Transactions on Evolutionary Computation.

Comparing Synchronous and Asynchronous Cellular Genetic Algorithms

Enrique Alba, Marco Tomassini, Mario Giacobini, 2002, PPSN.

An Evolutionary Game-Theoretical Approach to Particle Swarm Optimisation

Mario Giacobini, Cecilia Di Chio, Paolo Di Chio, 2008, EvoWorkshops.

Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing

Mario Giacobini, 2009 .

Do Diseases Spreading on Bipartite Networks Have Some Evolutionary Advantage?

Mario Giacobini, Luca Ferreri, Ezio Venturino, 2011, EvoBio.

Non-systemic transmission of tick-borne diseases: A network approach

Mario Giacobini, Luca Ferreri, Paolo Bajardi, 2016, Commun. Nonlinear Sci. Numer. Simul..

A New Mutation Paradigm for Genetic Programming

Christian Darabos, Mario Giacobini, Ting Hu, 2013 .

Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms

Enrique Alba, Marco Tomassini, Mario Giacobini, 2004, GECCO.

Infection dynamics on spatial small-world network models

Marco Tomassini, Christian Darabos, Mario Giacobini, 2017, Physical review. E.

The influence of uncertainties on optimization of vaccinations on a network of animal movements

Mario Giacobini, Krzysztof Michalak, 2021, GECCO Companion.

Plotting time: On the usage of CNNs for time series classification pdf

Leonardo Vanneschi, Mario Giacobini, Leonardo Trujillo, 2021, ArXiv.

A review of methods for imbalanced multi-label classification

Mario Giacobini, Krzysztof Michalak, Adane Nega Tarekegn, 2021, Pattern Recognit..

The influence of uncertainties on optimization of vaccinations on a network of animal movements

Mario Giacobini, Krzysztof Michalak, M. Giacobini, 2021, Soft Computing.

Early warning of West Nile virus mosquito vector: climate and land use models successfully explain phenology and abundance of Culex pipiens mosquitoes in north-western Italy

Mario Giacobini, Markus Metz, Markus Neteler, 2014, Parasites & Vectors.

Transmission dynamics of Borrelia lusitaniae and Borrelia afzelii among Ixodes ricinus, lizards, and mice in Tuscany, central Italy.

Mario Giacobini, Luigi Bertolotti, Alessandro Mannelli, 2011, Vector borne and zoonotic diseases.

Spatio-temporal patterns of distribution of West Nile virus vectors in eastern Piedmont Region, Italy

Mario Giacobini, Luigi Bertolotti, Andrea Mosca, 2011, Parasites & Vectors.

Modeling the Spread of Vector-Borne Diseases on Bipartite Networks

Mario Giacobini, Luigi Bertolotti, Alessandro Mannelli, 2010, PloS one.

Generalized Boolean Networks: How Spatial and Temporal Choices Influence Their Dynamics

Marco Tomassini, Christian Darabos, Mario Giacobini, 2010 .

Visual Search of Neuropil-Enriched RNAs from Brain In Situ Hybridization Data through the Image Analysis Pipeline Hippo-ATESC

Mario Giacobini, Stefano Cagnoni, Pablo Mesejo, 2013, PloS one.