Debora Slanzi

Orcid: 0000-0002-4204-1009

According to our database1, Debora Slanzi authored at least 15 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning.
Mach. Learn. Knowl. Extr., September, 2024

2023
A comparative study on high-dimensional bayesian regression with binary predictors.
Commun. Stat. Simul. Comput., May, 2023

Exploiting the Potential of Bayesian Networks in Deriving New Insight into Diabetic Kidney Disease (DKD).
Proceedings of the Artificial Life and Evolutionary Computation, 2023

2020
A Neural Network Model for Lead Optimization of MMP12 Inhibitors.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2018
Evolution of Workers' Behaviour in Dual Labor Markets.
Proceedings of the Artificial Life and Evolutionary Computation - 13th Italian Workshop, 2018

2017
Multi-objective Optimization in High-Dimensional Molecular Systems.
Proceedings of the Artificial Life and Evolutionary Computation - 12th Italian Workshop, 2017

Modeling Urbanization Perception: Emerging Topics on Hangzhou Future Sci-Tech City Development.
Proceedings of the Artificial Life and Evolutionary Computation - 12th Italian Workshop, 2017

Using Twitter Data to Monitor Political Campaigns and Predict Election Results.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

2016
Reducing Dimensionality in Molecular Systems: A Bayesian Non-parametric Approach.
Proceedings of the Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, 2016

Model-Based Lead Molecule Design.
Proceedings of the Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, 2016

2015
A Predictive Approach Based on Neural Network Models for Building Automation Systems.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

2014
Designing Lead Optimisation of MMP-12 Inhibitors.
Comput. Math. Methods Medicine, 2014

Qualitative Particle Swarm Optimization (Q-PSO) for Energy-Efficient Building Designs.
Proceedings of the Advances in Artificial Life and Evolutionary Computation, 2014

2010
On using Bayesian networks for complexity reduction in decision trees.
Stat. Methods Appl., 2010

2009
Massive non-natural proteins structure prediction using grid technologies.
BMC Bioinform., 2009


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