Building ARMA Models with Genetic Algorithms. - Tommaso Minerva; Irene Poli (EvoWorkshops, 2001)

Evolutionary Design of a DDPD Model of Ligation. - Mark A. Bedau; Andrew Buchanan; Gianluca Gazzola; Martin M. Hanczyc; Thomas Maeke; John S. McCaskill; Irene Poli; Norman H. Packard (Artificial Evolution, 2005)

Synchronization Phenomena in Surface-Reaction Models of Protocells. - Roberto Serra; Timoteo Carletti; Irene Poli (Artif. Life, 2007)

Massive non-natural proteins structure prediction using grid technologies. - Giovanni Minervini; Giuseppe Evangelista; Laura Villanova; Debora Slanzi; Davide De Lucrezia; Irene Poli; Pier Luigi Luisi; Fabio Polticelli (BMC Bioinform., 2009)

Dynamical Stability of Autocatalytic Sets. - Rudolf M. Füchslin; Alessandro Filisetti; Roberto Serra; Marco Villani 001; Davide De Lucrezia; Irene Poli (ALIFE, 2010)

A Model Based Ant Colony Design for the Protein Engineering Problem. - Matteo Borrotti; Davide De Lucrezia; Giovanni Minervini; Irene Poli (ANTS Conference, 2010)

Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling. - Laura Villanova; Paolo Falcaro; Davide Carta; Irene Poli; Rob J. Hyndman; Kate Smith-Miles (IEEE Congress on Evolutionary Computation, 2010)

The influence of the residence time on the dynamics of catalytic reaction networks. - Alessandro Filisetti; Roberto Serra; Marco Villani 001; Alex Graudenzi; Rudolf M. Füchslin; Irene Poli (WIRN, 2010)

The role of energy in a stochastic model of the emergence of autocatalytic sets. - Alessandro Filisetti; Alex Graudenzi; Roberto Serra; Marco Villani 001; Davide De Lucrezia; Irene Poli (ECAL, 2011)

Dynamical stability in random Boolean networks. - Davide Campioli; Marco Villani 001; Irene Poli; Roberto Serra (WIRN, 2011)

Naïve Bayes Ant Colony Optimization for Experimental Design. - Matteo Borrotti; Irene Poli (SMPS, 2012)

A stochastic model of autocatalytic reaction networks. - Alessandro Filisetti; Alex Graudenzi; Roberto Serra; Marco Villani 001; Rudolf M. Füchslin; Norman H. Packard; Stuart A. Kauffman; Irene Poli (Theory Biosci., 2012)

Identifying Emergent Dynamical Structures in Network Models. - Marco Villani 001; Stefano Benedettini; Andrea Roli; David Lane; Irene Poli; Roberto Serra (WIRN, 2013)

On Some Properties of Information Theoretical Measures for the Study of Complex Systems. - Alessandro Filisetti; Marco Villani 001; Andrea Roli; Marco Fiorucci; Irene Poli; Roberto Serra (WIVACE, 2014)

Qualitative Particle Swarm Optimization (Q-PSO) for Energy-Efficient Building Designs. - Debora Slanzi; Matteo Borrotti; Davide De March; Daniele Orlando; Silvio Giove; Irene Poli (WIVACE, 2014)

Designing Lead Optimisation of MMP-12 Inhibitors. - Matteo Borrotti; Davide De March; Debora Slanzi; Irene Poli (Comput. Math. Methods Medicine, 2014)

The Search for Candidate Relevant Subsets of Variables in Complex Systems. - Marco Villani 001; Andrea Roli; Alessandro Filisetti; Marco Fiorucci; Irene Poli; Roberto Serra (Artif. Life, 2015)

A Predictive Approach Based on Neural Network Models for Building Automation Systems. - Davide De March; Matteo Borrotti; Luca Sartore; Debora Slanzi; Lorenzo Podestà; Irene Poli (Advances in Neural Networks, 2015)

Model-Based Lead Molecule Design. - Alessandro Giovannelli; Debora Slanzi; Marina Khoroshiltseva; Irene Poli (WIVACE, 2016)

Reducing Dimensionality in Molecular Systems: A Bayesian Non-parametric Approach. - Valentina Mameli; Nicola Lunardon; Marina Khoroshiltseva; Debora Slanzi; Irene Poli (WIVACE, 2016)

Naïve Bayes ant colony optimization for designing high dimensional experiments. - Matteo Borrotti; Giovanni Minervini; Davide De Lucrezia; Irene Poli (Appl. Soft Comput., 2016)

Modeling Urbanization Perception: Emerging Topics on Hangzhou Future Sci-Tech City Development. - Debora Slanzi; Valentina Anzoise; Irene Poli (WIVACE, 2017)

Multi-objective Optimization in High-Dimensional Molecular Systems. - Debora Slanzi; Valentina Mameli; Marina Khoroshiltseva; Irene Poli (WIVACE, 2017)

A Neural Network Model for Lead Optimization of MMP12 Inhibitors. - Tewodros Mulugeta Dagnew; Claudio Silvestri; Debora Slanzi; Irene Poli (ICPR Workshops (4), 2020)

Clustering Trajectories to Study Diabetic Kidney Disease. - Veronica Distefano; Maria Mannone; Irene Poli; Gert Mayer (WIVACE, 2023)

Exploiting the Potential of Bayesian Networks in Deriving New Insight into Diabetic Kidney Disease (DKD). - Debora Slanzi; Claudio Silvestri; Irene Poli; Gert Mayer (WIVACE, 2023)

Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning. - Seyum Abebe; Irene Poli; Roger D. Jones; Debora Slanzi (Mach. Learn. Knowl. Extr., 2024)