Irene POLI

Position
Senior Researcher
E-mail
irenpoli@unive.it
Scientific sector (SSD)
STATISTICA [SECS-S/01]
Website
www.unive.it/people/irenpoli (personal record)
Office
European Center for Living Technology (ECLT)
Where: Ca' Bottacin
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais
Where: Campus scientifico via Torino
Research Institute
Research Institute for Complexity

Publications

Year
Type
Publication
Year Type Publication
1 - 10 / 102 (102)
2024 Journal Article 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 - ARCA card: 10278/5069103
2024 Book Article 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 - ARCA card: 10278/5054921
2023 Journal Article 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 - ARCA card: 10278/5044320
2021 Journal Article Mameli, Valentina; Slanzi, Debora; Poli, Irene; Green, Darren V S Search for relevant subsets of binary predictors in high dimensional regression for discovering the lead molecule in PHARMACEUTICAL STATISTICS, vol. 20, pp. 898-915 (ISSN 1539-1604)
DOI - ARCA card: 10278/3738547
2021 Article in Conference Proceedings Dagnew T.M.; Silvestri C.; Slanzi D.; Poli I. A Neural Network Model for Lead Optimization of MMP12 Inhibitors , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, vol. 12664, pp. 323-335, Convegno: ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges (ISBN 978-3-030-68798-4; 978-3-030-68799-1)
DOI - ARCA card: 10278/3738884
2021 Article in Conference Proceedings Veronica Distefano, Maria Mannone, Claudio Silvestri, Irene Poli Categories and clusters to investigate similarities in Diabetic Kidney Disease patients , SIS 2021, Pearson, pp. 1162-1167, Convegno: SIS (ISBN 9788891927361)
- ARCA card: 10278/3743271
2021 Article in Conference Proceedings Maria Mannone, Veronica Distefano, Claudio Silvestri ,Irene Poli Clustering longitudinal data with category theory for diabetic kidney disease , Scientific Meeting of the Classification and Data Analysis Group, Firenze University Press, vol. 128, pp. 364-367, Convegno: Scientific Meeting of the Classification and Data Analysis Group (CLADAG) (ISBN 978-88-5518-340-6) (ISSN 2704-601X)
DOI - ARCA card: 10278/3743270
2021 Abstract in Atti di convegno Maria Mannone, Veronica Distefano, Claudio Silvestri , Irene Poli Comparison of clustering methods for diabetic kidney disease patients formalized through category theory , APPLIED STATISTICS 2021, Statistical Society of Slovenia, pp. 33-33, Convegno: Applied Statistics
- ARCA card: 10278/3743831
2020 Journal Article Anzoise, Valentina; Slanzi, Debora; Poli, Irene Local stakeholders’ narratives about large-scale urban development: The Zhejiang Hangzhou Future Sci-Tech City in URBAN STUDIES, vol. 57, pp. 655-671 (ISSN 0042-0980)
DOI - ARCA card: 10278/3711529
2019 Book Article Mameli, V.; Slanzi, D.; Poli, I. Estimating High-Dimensional Regression Models with Bootstrap group Penalties in A. Petrucci, F. Racioppi, R. Verde, New Statistical Developments in Data Science, Cham, Springer, vol. 288, pp. 469-479 (ISBN 978-3-030-21158-5) (ISSN 2194-1009)
DOI - URL correlato - ARCA card: 10278/3708952