SLANZI, Debora
SLANZI, Debora
Venice School of Management
A comparative study on high-dimensional bayesian regression with binary predictors
2023 Slanzi, D.; Mameli, V.; Brown, P. J.
A Neural Network Model for Lead Optimization of MMP12 Inhibitors
2021 Dagnew, T. M.; Silvestri, C.; Slanzi, D.; Poli, I.
A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices
2016 Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene
A predictive approach based on neural network models for building automation systems
2015 De March, D.; Borrotti, M.; Sartore, Luca; Slanzi, D.; Podesta, L.; Poli, I.
A Predictive Evolutionary Approach to Design Biochemical Experiments
2007 M., Forlin; DE MARCH, Davide; Slanzi, Debora; Poli, Irene
An evolutionary model-based optimization method for energy-efficent building renovation
2014 M., Borrotti; DE MARCH, Davide; Slanzi, Debora; Poli, Irene
An evolutionary predictive approach to design high dimensional experiments
2010 DE MARCH, Davide; Forlin, M.; Slanzi, Debora; Poli, Irene
APPRENDIMENTO DI MODELLI GRAFICI ESPLORATIVI PER LA VALUTAZIONE IN AMBITO SOCIO-SANITARIO: IL CASO DELL'ASSISTENZA INFORMALE
2005 Bolzan, M.; Brogini, A.; Slanzi, Debora
Artificial Life and Evolutionary Computation.
2018 Pelillo, Marcello; Poli, Irene; Roli, Andrea; Serra, Roberto; Slanzi, Debora; Villani, Marco
Balancing Twitter Data with Survey Information to Predict Electoral Outcomes
2017 Fano, Shira; Slanzi, Debora
Bayesian Analysis of Cytomegalovirus Infection from Microarray Data
2007 Slanzi, Debora; M., Trevisan; L., Villanova; G., Palu'; Poli, Irene
Bayesian Networks for Detecting Relevant Variable Interactions for Biochemical Experiments
2007 Slanzi, Debora; Poli, Irene; DE MARCH, Davide; M., Forlin
Bootstrap group penalty for highdimensional regression models
2017 Mameli, Valentina; Slanzi, Debora; Poli, Irene
Candidate composite biomarker to inform drug treatments for diabetic kidney disease
2023 Jones, Roger D; Abebe, Seyum; Distefano, Veronica; Mayer, Gert; Poli, Irene; Silvestri, Claudio; Slanzi, Debora
Combining Probabilistic Dependency Models and Particle Swarm Optimization for Parameter Inference in Stochastic Biological Systems
2012 M., Forlin; Slanzi, Debora; Poli, Irene
Confident Bayesian networks: a non parametric bootstrap approach
2009 A., Brogini; Slanzi, Debora
Designing lead optimisation of MMP-12 Inhibitors
2014 Borrotti, Matteo; DE MARCH, Davide; Slanzi, Debora; Poli, Irene
Detection of volatile metabolites of moulds isolated from a contaminated library
2016 Micheluz, Anna; Manente, Sabrina; Rovea, Manuela; Slanzi, Debora; Varese, Giovanna Cristina; Ravagnan, Giampietro; Formenton, Gianmaria
Do Natural Proteins Differ from Random Sequences Polypeptides? Natural vs. Random Proteins Classification Using an Evolutionary Neural Network
2012 D., De Lucrezia; Slanzi, Debora; Poli, Irene; F., Polticelli; G., Minervini
Estimating High-Dimensional Regression Models with Bootstrap group Penalties
2019 Mameli, V.; Slanzi, D.; Poli, I.