AZZALI, IRENE

AZZALI, IRENE  

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Titolo Data di pubblicazione Autore(i) File
A Genetic Programming Approach to Predict Mosquitoes Abundance 2019 Gervasi, Riccardo; Azzali, Irene; Bisanzio, Donal; Mosca, Andrea; Bertolotti, Luigi; Giacobini, Mario
A Genetically Distinguishable Competition Model 2016 Azzali, Irene; Marcaccio, Giulia; Turris, Rosanna; Venturino, Ezio
A Vectorial Approach to Genetic Programming 2019 Azzali, Irene; Vanneschi, Leonardo; Silva, Sara; Bakurov, Illya; Giacobini, Mario
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis 2024 Azzali I.; Cilia N.D.; De Stefano C.; Fontanella F.; Giacobini M.; Vanneschi L.
ENHANCING MACHINE LEARNING APPROACHES FOR BIODATA MINING IN VETERINARY SCIENCES 2021 -
EXPLORING THE ROLE OF VERTICAL HETEROGENEITY IN THE STABILIZATION OF PLANKTONIC ECOSYSTEMS UNDER EUTROPHICATION 2017 Azzali, Irene; Morozov, Andrew; Venturino, Ezio
Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming 2020 Azzali I.; Vanneschi L.; Giacobini M.
Towards the use of genetic programming in the ecological modelling of mosquito population dynamics 2020 Azzali, Irene; Vanneschi, Leonardo; Mosca, Andrea; Bertolotti, Luigi; Giacobini, Mario
Towards the use of vector based GP to predict physiological time series 2020 Azzali, Irene; Vanneschi, Leonardo; Bakurov, Illya; Silva, Sara; Ivaldi, Marco; Giacobini, Mario
Well-posedness, positivity, and time asymptotics properties for a reaction–diffusion model of plankton communities, involving a rational nonlinearity with singularity 2020 Perasso A.; Richard Q.; Azzali I.; Venturino E.