Debora Slanzi

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 9

Top Topics

Emerging Topics

Top Venues

ICPR Workshops (4)

Comput. Math. Methods Medicine

PAAMS (Special Sessions)

Publications

Debora Slanzi, Claudio Silvestri, Irene Poli, Gert Mayer
Exploiting the Potential of Bayesian Networks in Deriving New Insight into Diabetic Kidney Disease (DKD). WIVACE (2023)
Debora Slanzi, Valentina Mameli, Philip J. Brown
A comparative study on high-dimensional bayesian regression with binary predictors. Commun. Stat. Simul. Comput. 52 (5) (2023)
Tewodros Mulugeta Dagnew, Claudio Silvestri, Debora Slanzi, Irene Poli
A Neural Network Model for Lead Optimization of MMP12 Inhibitors. ICPR Workshops (4) (2020)
Shira Fano, Debora Slanzi
Evolution of Workers' Behaviour in Dual Labor Markets. WIVACE (2018)
Shira Fano, Debora Slanzi
Using Twitter Data to Monitor Political Campaigns and Predict Election Results. PAAMS (Special Sessions) (2017)
Debora Slanzi, Valentina Anzoise, Irene Poli
Modeling Urbanization Perception: Emerging Topics on Hangzhou Future Sci-Tech City Development. WIVACE (2017)
Debora Slanzi, Valentina Mameli, Marina Khoroshiltseva, Irene Poli
Multi-objective Optimization in High-Dimensional Molecular Systems. WIVACE (2017)
Valentina Mameli, Nicola Lunardon, Marina Khoroshiltseva, Debora Slanzi, Irene Poli
Reducing Dimensionality in Molecular Systems: A Bayesian Non-parametric Approach. WIVACE (2016)
Alessandro Giovannelli, Debora Slanzi, Marina Khoroshiltseva, Irene Poli
Model-Based Lead Molecule Design. WIVACE (2016)
Matteo Borrotti, Davide De March, Debora Slanzi, Irene Poli
Designing Lead Optimisation of MMP-12 Inhibitors. Comput. Math. Methods Medicine 2014 (2014)
Debora Slanzi, Matteo Borrotti, Davide De March, Daniele Orlando, Silvio Giove, Irene Poli
Qualitative Particle Swarm Optimization (Q-PSO) for Energy-Efficient Building Designs. WIVACE (2014)
Adriana Brogini, Debora Slanzi
On using Bayesian networks for complexity reduction in decision trees. Stat. Methods Appl. 19 (1) (2010)
Giovanni Minervini, Giuseppe Evangelista, Laura Villanova, Debora Slanzi, Davide De Lucrezia, Irene Poli, Pier Luigi Luisi, Fabio Polticelli
Massive non-natural proteins structure prediction using grid technologies. BMC Bioinform. 10 (S-6) (2009)