Prediction of Binary Sequences by Evolving Finite State Machines. - Umberto Cerruti; Mario Giacobini; Pierre Liardet (Artificial Evolution, 2001)

How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming. - Mario Giacobini; Marco Tomassini; Leonardo Vanneschi (GECCO, 2002)

Comparing Synchronous and Asynchronous Cellular Genetic Algorithms. - Enrique Alba 001; Mario Giacobini; Marco Tomassini; Sergio Romero 002 (PPSN, 2002)

Limiting the Number of Fitness Cases in Genetic Programming Using Statistics. - Mario Giacobini; Marco Tomassini; Leonardo Vanneschi (PPSN, 2002)

Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms. - Mario Giacobini; Marco Tomassini; Andrea Tettamanzi (Artificial Evolution, 2003)

Selection Intensity in Asynchronous Cellular Evolutionary Algorithms. - Mario Giacobini; Enrique Alba 001; Marco Tomassini (GECCO, 2003)

The influence of grid shape and asynchronicity on cellular evolutionary algorithms. - Bernabé Dorronsoro; Enrique Alba 001; Mario Giacobini; Marco Tomassini (IEEE Congress on Evolutionary Computation, 2004)

Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms. - Mario Giacobini; Enrique Alba 001; Andrea Tettamanzi; Marco Tomassini (GECCO (1), 2004)

Evolution of Small-World Networks of Automata for Computation. - Marco Tomassini; Mario Giacobini; Christian Darabos (PPSN, 2004)

A New Framework to Analyze Evolutionary 2 x 2 Symmetric Games. - Umberto Cerruti; Mario Giacobini; Ugo Merlone (CIG, 2005)

Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners. - Leslie Luthi; Mario Giacobini; Marco Tomassini (CIG, 2005)

Emergence of Structure and Stability in the Prisoner's Dilemma on Networks. - Leslie Luthi; Mario Giacobini; Marco Tomassini (ECAL, 2005)

Takeover time curves in random and small-world structured populations. - Mario Giacobini; Marco Tomassini; Andrea Tettamanzi (GECCO, 2005)

Evolution and Dynamics of Small-World Cellular Automata. - Marco Tomassini; Mario Giacobini; Christian Darabos (Complex Syst., 2005)

Selection intensity in cellular evolutionary algorithms for regular lattices. - Mario Giacobini; Marco Tomassini; Andrea Tettamanzi; Enrique Alba 001 (IEEE Trans. Evol. Comput., 2005)

Decentralized Cellular Evolutionary Algorithms. - Bernabé Dorronsoro Díaz; Marco Tomassini; Mario Giacobini; Enrique Alba 001 (Handbook of Bioinspired Algorithms and Applications, 2005)

Scale-Free Automata Networks Are Not Robust in a Collective Computational Task. - Christian Darabos; Mario Giacobini; Marco Tomassini (ACRI, 2006)

Effects of Scale-Free and Small-World Topologies on Binary Coded Self-adaptive CEA. - Mario Giacobini; Mike Preuss; Marco Tomassini (EvoCOP, 2006)

Semi-synchronous Activation in Scale-Free Boolean Networks. - Christian Darabos; Mario Giacobini; Marco Tomassini (ECAL, 2007)

The genetic programming collaboration network and its communities. - Leslie Luthi; Marco Tomassini; Mario Giacobini; William B. Langdon (GECCO, 2007)

Performance and Robustness of Cellular Automata Computation on Irregular Networks. - Christian Darabos; Mario Giacobini; Marco Tomassini (Adv. Complex Syst., 2007)

The structure of the genetic programming collaboration network. - Marco Tomassini; Leslie Luthi; Mario Giacobini; William B. Langdon (Genet. Program. Evolvable Mach., 2007)

An Evolutionary Game-Theoretical Approach to Particle Swarm Optimisation. - Cecilia Di Chio; Paolo Di Chio; Mario Giacobini (EvoWorkshops, 2008)

Introduction to Special Section on Evolutionary Computation in Games. - Moshe Sipper; Mario Giacobini (Genet. Program. Evolvable Mach., 2008)

Adding Vertical Meaning to Phylogenetic Trees by Artificial Evolution. - Francesco Cerutti; Luigi Bertolotti; Tony L. Goldberg; Mario Giacobini (ECAL (1), 2009)

Transient Perturbations on Scale-Free Boolean Networks with Topology Driven Dynamics. - Christian Darabos; Mario Giacobini; Marco Tomassini (ECAL (1), 2009)

Are Cells Really Operating at the Edge of Chaos? - A Case Study of Two Real-Life Regulatory Networks. - Christian Darabos; Mario Giacobini; Marco Tomassini; Paolo Provero; Ferdinando Di Cunto (ECAL (1), 2009)

Investigating Populational Evolutionary Algorithms to Add Vertical Meaning in Phylogenetic Trees. - Francesco Cerutti; Luigi Bertolotti; Tony L. Goldberg; Mario Giacobini (EvoBIO, 2010)

Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques. - Leonardo Vanneschi; Antonella Farinaccio; Mario Giacobini; Giancarlo Mauri; Marco Antoniotti; Paolo Provero (EvoBIO, 2010)

On the use of genetic programming for the prediction of survival in cancer. - Antonella Farinaccio; Leonardo Vanneschi; Mario Giacobini; Giancarlo Mauri; Paolo Provero (GECCO, 2010)

A Study on Gene Regulatory Network Reconstruction and Simulation. - Antonella Farinaccio; Leonardo Vanneschi; Paolo Provero; Giancarlo Mauri; Mario Giacobini (WIRN, 2010)

Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism. - Christian Darabos; Ferdinando Di Cunto; Marco Tomassini; Jason H. Moore; Paolo Provero; Mario Giacobini (EvoBio, 2011)

A New Evolutionary Gene Regulatory Network Reverse Engineering Tool. - Antonella Farinaccio; Leonardo Vanneschi; Paolo Provero; Giancarlo Mauri; Mario Giacobini (EvoBio, 2011)

Do Diseases Spreading on Bipartite Networks Have Some Evolutionary Advantage? - Luca Ferreri; Ezio Venturino; Mario Giacobini (EvoBio, 2011)

Automatic hippocampus localization in histological images using PSO-based deformable models. - Roberto Ugolotti; Pablo Mesejo; Stefano Cagnoni; Mario Giacobini; Ferdinando Di Cunto (GECCO (Companion), 2011)

Taxon ordering in phylogenetic trees by means of evolutionary algorithms. - Francesco Cerutti; Luigi Bertolotti; Tony L. Goldberg; Mario Giacobini (BioData Min., 2011)

A comparison of machine learning techniques for survival prediction in breast cancer. - Leonardo Vanneschi; Antonella Farinaccio; Giancarlo Mauri; Marco Antoniotti; Paolo Provero; Mario Giacobini (BioData Min., 2011)

Taxon ordering in phylogenetic trees: a workbench test. - Francesco Cerutti; Luigi Bertolotti; Tony L. Goldberg; Mario Giacobini (BMC Bioinform., 2011)

Toward robust network based complex systems: from evolutionary cellular automata to biological models. - Christian Darabos; Marco Tomassini; Ferdinando Di Cunto; Paolo Provero; Jason H. Moore; Mario Giacobini (Intelligenza Artificiale, 2011)

Automatic segmentation of hippocampus in histological images of mouse brains using deformable models and random forest. - Pablo Mesejo; Roberto Ugolotti; Stefano Cagnoni; Ferdinando Di Cunto; Mario Giacobini (CBMS, 2012)

Improving Phylogenetic Tree Interpretability by Means of Evolutionary Algorithms. - Francesco Cerutti; Luigi Bertolotti; Tony L. Goldberg; Mario Giacobini (EvoBIO, 2012)

Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm. - Christian Darabos; Mario Giacobini; Ting Hu 001; Jason H. Moore (EvoBIO, 2012)

Cellular Automata Coevolution of Update Functions and Topologies: A Tradeoff between Accuracy and Speed. - Christian Darabos; Craig O. Mackenzie; Marco Tomassini; Mario Giacobini; Jason H. Moore (ECAL, 2013)

Inferring Human Phenotype Networks from Genome-Wide Genetic Associations. - Christian Darabos; Kinjal Desai; Richard Cowper-Sallari; Mario Giacobini; Britney E. Graham; Mathieu Lupien; Jason H. Moore (EvoBIO, 2013)

Coevolution of rules and topology in cellular automata. - Christian Darabos; Craig O. Mackenzie; Marco Tomassini; Mario Giacobini; Jason H. Moore (GECCO (Companion), 2013)

Automatic hippocampus localization in histological images using Differential Evolution-based deformable models. - Pablo Mesejo; Roberto Ugolotti; Ferdinando Di Cunto; Mario Giacobini; Stefano Cagnoni (Pattern Recognit. Lett., 2013)

Complex and dynamic population structures: synthesis, open questions, and future directions. - Joshua L. Payne; Mario Giacobini; Jason H. Moore (Soft Comput., 2013)

Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework. - Christian Darabos; Mario Giacobini; Jason H. Moore; Marco Tomassini (Evolution, Complexity and Artificial Life, 2014)

Towards the Use of Genetic Programming for the Prediction of Survival in Cancer. - Mario Giacobini; Paolo Provero; Leonardo Vanneschi; Giancarlo Mauri (Evolution, Complexity and Artificial Life, 2014)

Special Issue for the 20th Anniversary of the European Conference on Artificial Life (ECAL 2011). - Tom Lenaerts; Mario Giacobini; Hugues Bersini; Paul Bourgine; Marco Dorigo; René Doursat (Artif. Life, 2014)

A CAEV epidemiological model for goat breeding. - Marta Pittavino; Luca Ferreri; Mario Giacobini; Luigi Bertolotti; Sergio Rosati; Ezio Venturino (Appl. Math. Comput., 2014)

Interplay of network dynamics and ties heterogeneity on spreading dynamics. - Luca Ferreri; Paolo Bajardi; Mario Giacobini; Silvia Perazzo; Ezio Venturino (CoRR, 2014)

Pattern of Tick Aggregation on Mice: Larger Than Expected Distribution Tail Enhances the Spread of Tick-Borne Pathogens. - Luca Ferreri; Mario Giacobini; Paolo Bajardi; Luigi Bertolotti; Luca Bolzoni; Valentina Tagliapietra; Annapaola Rizzoli; Roberto Rosà (PLoS Comput. Biol., 2014)

Contagion on Networks with Self-Organised Community Structure. - Alberto Antonioni; Seth Bullock; Christian Darabos; Mario Giacobini (ECAL, 2015)

Non-systemic transmission of tick-borne diseases: A network approach. - Luca Ferreri; Paolo Bajardi; Mario Giacobini (Commun. Nonlinear Sci. Numer. Simul., 2016)

A Vectorial Approach to Genetic Programming. - Irene Azzali; Leonardo Vanneschi; Sara Silva; Illya Bakurov; Mario Giacobini (EuroGP, 2019)

A Genetic Programming Approach to Predict Mosquitoes Abundance. - Riccardo Gervasi; Irene Azzali; Donal Bisanzio; Andrea Mosca; Luigi Bertolotti; Mario Giacobini (EuroGP, 2019)

A GP approach for precision farming. - Francesca Abbona; Leonardo Vanneschi; Marco Bona; Mario Giacobini (CEC, 2020)

Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming. - Irene Azzali; Leonardo Vanneschi; Mario Giacobini (EuroGP, 2020)

Detection of Frailty Using Genetic Programming. - Adane Nega Tarekegn; Fulvio Ricceri; Giuseppe Costa; Elisa Ferracin; Mario Giacobini (EuroGP, 2020)

Towards the use of vector based GP to predict physiological time series. - Irene Azzali; Leonardo Vanneschi; Illya Bakurov; Sara Silva; Marco Ivaldi; Mario Giacobini (Appl. Soft Comput., 2020)

Towards the use of genetic programming in the ecological modelling of mosquito population dynamics. - Irene Azzali; Leonardo Vanneschi; Andrea Mosca; Luigi Bertolotti; Mario Giacobini (Genet. Program. Evolvable Mach., 2020)

Cross-Validation Approach to Evaluate Clustering Algorithms: An Experimental Study Using Multi-Label Datasets. - Adane Nega Tarekegn; Krzysztof Michalak; Mario Giacobini (SN Comput. Sci., 2020)

Plotting time: On the usage of CNNs for time series classification. - Nuno M. Rodrigues; João E. Batista; Leonardo Trujillo; Bernardo Duarte; Mario Giacobini; Leonardo Vanneschi; Sara Silva (CoRR, 2021)

A review of methods for imbalanced multi-label classification. - Adane Nega Tarekegn; Mario Giacobini; Krzysztof Michalak (Pattern Recognit., 2021)

The influence of uncertainties on optimization of vaccinations on a network of animal movements. - Krzysztof Michalak; Mario Giacobini (Soft Comput., 2021)

Reducing the Number of Training Cases in Genetic Programming. - Giacomo Zoppi; Leonardo Vanneschi; Mario Giacobini (CEC, 2022)

Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis. - Irene Azzali; Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Giacobini; Leonardo Vanneschi (EvoApplications, 2022)

A preliminary study of prediction interval methods with genetic programming. - Karina Brotto Rebuli; Mario Giacobini; Niccolò Tallone; Leonardo Vanneschi (GECCO Companion, 2022)

Single and Multi-objective Genetic Programming Methods for Prediction Intervals. - Karina Brotto Rebuli; Mario Giacobini; Niccolò Tallone; Leonardo Vanneschi (WIVACE, 2022)

Fine-Grained Agent-Based Modeling to Predict Covid-19 Spreading and Effect of Policies in Large-Scale Scenarios. - Gianfranco Lombardo; Mattia Pellegrino; Michele Tomaiuolo; Stefano Cagnoni; Monica Mordonini; Mario Giacobini; Agostino Poggi (IEEE J. Biomed. Health Informatics, 2022)

Multiobjective Optimization of Evolutionary Neural Networks for Animal Trade Movements Prediction. - Krzysztof Michalak; Mario Giacobini (EMO, 2023)

Evolutionary Neural Networks for Livestock Disease Prevention. - Krzysztof Michalak; Mario Giacobini (GECCO Companion, 2023)

A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. - Karina Brotto Rebuli; Mario Giacobini; Sara Silva; Leonardo Vanneschi (GECCO Companion, 2023)

Multi-algorithm clustering analysis for characterizing cow productivity on automatic milking systems over lactation periods. - Karina Brotto Rebuli; Laura Ozella; Leonardo Vanneschi; Mario Giacobini (Comput. Electron. Agric., 2023)

Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis. - Irene Azzali; Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Giacobini; Leonardo Vanneschi (Swarm Evol. Comput., 2024)

Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification. - Adane Nega Tarekegn; Krzysztof Michalak; Giuseppe Costa; Fulvio Ricceri; Mario Giacobini (J. Heal. Informatics Res., 2024)

Assessing the stability of herd productivity groups across lactation periods in automatic milking systems using multi-algorithm clustering. - Karina Brotto Rebuli; Laura Ozella; Fernando Masía; Elisa Vrieze; Mario Giacobini (Comput. Electron. Agric., 2025)

Editorial introduction for the special issue on highlights of genetic programming 2023 events. - Gisele L. Pappa; Mario Giacobini; Ting Hu 001; Domagoj Jakobovic (Genet. Program. Evolvable Mach., 2025)