Bayesian Networks for Detecting Relevant Variable Interactions for Biochemical Experiments

Debora Slanzi , M. Forlin , Irene Poli , Davide De March
Intermediate Conference SIS 2007

2007
Evolutionary Algorithms for Complex Experimental Designs

Debora Slanzi , Irene Poli , Davide De March
6th St. Petersburg Workshop on Simulation

1
2009
Confident Bayesian networks: a non parametric bootstrap approach

Debora Slanzi , A. Brogini
Classification and data analysis 2009

2009
I MODELLI GRAFICI ESPLORATIVI PER L'ANALISI DEL FABBISOGNO DI ASSISTENZA OSPEDALIERA INFORMALE

Debora Slanzi , A. Brogini , M. Bolzan
EFFICACIA ESTERNA DELLA FORMAZIONE UNIVERSITARIA: IL PROGETTO OUTCOMES 375 -388

2005
An evolutionary model-based optimization method for energy-efficent building renovation

M. Borrotti , Debora Slanzi , Irene Poli , Davide De March
SDEWES2014 1 -12

2014
Intelligent control system model-based optimisation for energy saving

Matteo Borrotti , Debora Slanzi , L. Sartore
Ercim News

2014
UNSUPERVISED VS SUPERVISED LEARNING IN A REAL COMPLEX SYSTEM

Debora Slanzi , A. Brogini
MODELLI COMPLESSI E METODI COMPUTAZIONALI INTENSIVI PER LA STIMA E LA PREVISIONE. S.CO. 2005 467 -472

2005
The evolutionary Bayesian network design for combinatorial synthetic proteins.

D. De Lucrezia , Debora Slanzi , G. Minervini , Irene Poli
Ercim News

2010
L’uso di reti Bayesiane per l’analisi di dati statistici multivariati

Debora Slanzi , A. Brogini
TIPAR Roma Editrice 57 -64

2007
Evolutionary Probabilistic Graphical Models in High Dimensional Data Analysis

Debora Slanzi , Irene Poli , Davide De March
European Regional Meeting of the International Society for Business and Industrial Statistics 124 -125

1
2009
The Evolutionary Design of Experiments in high dimensional settings

Debora Slanzi , Irene Poli
QUADERNI DI DIPARTIMENTO. SERIE RICERCHE

2011
Bayesian Analysis of Cytomegalovirus Infection from Microarray Data

Debora Slanzi , L. Villanova , Irene Poli , M. Trevisan
Intermediate Conference SIS 2007

2007
A Predictive Evolutionary Approach to Design Biochemical Experiments

Debora Slanzi , M. Forlin , Irene Poli , Davide De March
Intermediate Conference SIS 2007

2007
Non natural protein structure identification

F. Polticelli , D De Lucrezia , Debora Slanzi , L Villanova
Classification and data analysis 2009 597 -660

1
2009
Balancing Twitter Data with Survey Information to Predict Electoral Outcomes

Debora Slanzi , Shira Fano
19th General Online Research Conference 44 -44

2017
Bootstrap group penalty for highdimensional regression models

Valentina Mameli , Debora Slanzi , Irene Poli
STATISTICS AND DATA SCIENCE: NEW CHALLENGES, NEW GENERATIONS 633 -638

2017