Debora SLANZI

Qualifica
Ricercatrice Universitaria
Incarichi
Componente interna effettiva del Collegio di Disciplina
Telefono
041 234 7423
E-mail
debora.slanzi@unive.it
SSD
Statistica [STAT-01/A]
Sito web
www.unive.it/persone/debora.slanzi (scheda personale)
Struttura
Venice School of Management
Sito web struttura: https://www.unive.it/management
Sede: San Giobbe
Struttura
Centro Europeo Interuniversitario di Ricerca - European Center for Living Technology
Sito web struttura: https://www.unive.it/eclt
Research Institute
Research Institute for Complexity

Abebe, Seyum; Poli, Irene; Jones, Roger D.; Slanzi, Debora Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning in MACHINE LEARNING AND KNOWLEDGE EXTRACTION, vol. 6, pp. 1798-1817 (ISSN 2504-4990)
DOI 2024, Articolo su rivista - Scheda ARCA: 10278/5069103


Lanzini, Pietro; Nguyen, Tra Thu; Slanzi, Debora The Role of Market Insights in Shaping Sustainable Mobility in Fast Developing Countries: The Case of Vietnam in SUSTAINABILITY, vol. 16, pp. 1-18 (ISSN 2071-1050)
DOI - URL correlato 2024, Articolo su rivista - Scheda ARCA: 10278/5046530


Slanzi, Debora; Silvestri, Claudio; Poli, Irene; Mayer, Gert Exploiting the Potential of Bayesian Networks in Deriving New Insight into Diabetic Kidney Disease (DKD) in Villani, M., Cagnoni, S., Serra, R., Artificial Life and Evolutionary Computation. WIVACE 2023., Springer, vol. 1977, pp. 298-308 (ISBN 9783031574290; 9783031574306) (ISSN 1865-0929)
DOI 2024, Articolo su libro - Scheda ARCA: 10278/5054921


Slanzi D.; Mameli V.; Brown P.J. A comparative study on high-dimensional bayesian regression with binary predictors in COMMUNICATIONS IN STATISTICS. SIMULATION AND COMPUTATION, vol. 52, pp. 1979-1999 (ISSN 0361-0918)
DOI 2023, Articolo su rivista - Scheda ARCA: 10278/3738548


Jones, Roger D; Abebe, Seyum; Distefano, Veronica; Mayer, Gert; Poli, Irene; Silvestri, Claudio; Slanzi, Debora Candidate composite biomarker to inform drug treatments for diabetic kidney disease in FRONTIERS IN MEDICINE, vol. 10, pp. 1271407 (ISSN 2296-858X)
DOI 2023, Articolo su rivista - Scheda ARCA: 10278/5044320