Anno | Tipologia | Pubblicazione |
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Anno | Tipologia | Pubblicazione |
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2024 | Articolo su rivista |
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 - Scheda ARCA: 10278/5069103 |
2024 | Articolo su rivista |
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 - Scheda ARCA: 10278/5046530 |
2024 | Articolo su libro |
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 - Scheda ARCA: 10278/5054921 |
2024 | Articolo su libro |
Mauracher, Christine; Slanzi, Debora Tendenze dei consumi e innovazione nell’industria agroalimentare , Traiettorie di sviluppo per le imprese agroalimentari: sfide, management e innovazione, Edizioni Ca' Foscari, pp. 9-23 (ISBN 9788869698361; 9788869698354) DOI - Scheda ARCA: 10278/5085630 |
2023 | Articolo su rivista |
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 - Scheda ARCA: 10278/3738548 |
2023 | Articolo su rivista |
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 - Scheda ARCA: 10278/5044320 |
2023 | Articolo su rivista |
Fortezza F.; Checchinato F.; Slanzi D. The relationship between brand constructs and motivational patterns in crowdfunding decisions. Evidence from university crowdfunding in MANAGEMENT RESEARCH REVIEW, vol. 46, pp. 557-578 (ISSN 2040-8269) DOI - Scheda ARCA: 10278/5044262 |
2021 | Articolo su rivista |
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 - Scheda ARCA: 10278/3738547 |
2021 | Articolo in Atti di convegno |
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 - Scheda ARCA: 10278/3738884 |
2021 | Articolo in Atti di convegno |
Elena Bellio, Francesca Checchinato, Debora Slanzi Perceived fears, stress overload and health status in traveling intention: a new framework at the time of COVID-19. , Digital transformation and marketing. Implications for business and society, Società Italiana Marketing, Convegno: XVIII SIM Conference, 14-15 Ottobre 2021 (ISBN 978-88-943918-6-2) - Scheda ARCA: 10278/5003691 |
2021 | Articolo in Atti di convegno |
Simone Bogni, Debora Slanzi, Matteo Borrotti Q-learning Estimation Techniques for Dynamic Treatment Regime , Book of Short Papers SIS 2021, Pearson, pp. 578-583, Convegno: SIS 2021, 21-25 Giugno 2021 (ISBN 9788891927361) - Scheda ARCA: 10278/3742737 |
2020 | Articolo su rivista |
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 - Scheda ARCA: 10278/3711529 |
2020 | Articolo su rivista |
Furlan E.; Slanzi D.; Torresan S.; Critto A.; Marcomini A. Multi-scenario analysis in the Adriatic Sea: A GIS-based Bayesian network to support maritime spatial planning in SCIENCE OF THE TOTAL ENVIRONMENT, vol. 703, pp. 134972 (ISSN 0048-9697) DOI - URL correlato - Scheda ARCA: 10278/3724647 |
2019 | Articolo su libro |
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 - Scheda ARCA: 10278/3708952 |
2019 | Articolo su libro |
Fano, Shira; Slanzi, Debora Evolution of Workers’ Behaviour in Dual Labor Markets , Artificial Life and Evolutionary Computation. WIVACE 2018., Springer, Cham, vol. 900, pp. 45-56 (ISBN 978-3-030-21732-7; 978-3-030-21733-4) (ISSN 1865-0929) DOI - Scheda ARCA: 10278/3714210 |
2019 | Articolo su libro |
Veronica Distefano, Irene Poli, Debora Slanzi Spatial statistical analysis of GDP growth in Zhejiang province , Pathways of Sustainable Urban Development across China, Imago Editor, pp. 38-48 (ISBN 978-88-94384-71-0) - Scheda ARCA: 10278/3716760 |
2019 | Articolo in Atti di convegno |
Slanzi, D.; Mameli, V.; Poli, I. Modelling properties of high-dimensional molecular systems in Arbia G.; Peluso, S; Pini A.; Rivellini G., Smart Statistics for Smart Applications, Pearson, pp. 525-532, Convegno: SIS 2019 (ISBN 9788891915108) - Scheda ARCA: 10278/3716759 |
2019 | Articolo in Atti di convegno |
Francesca Checchinato; Fulvio Fortezza; Debora Slanzi The relationship between brand constructs and motivational patterns in crowdfunding decisions in Checchinato Francesca; Fulvio Fortezza; Debora Slanzi, Atti del XVI Convegno della Società Italiana di Marketing, Società Italiana di Marketing, Convegno: Marketing 4.0: le sfide della multicanalità, 24-25 ottobre (ISBN 978-88-943918-3-1) - Scheda ARCA: 10278/3720372 |
2018 | Articolo su rivista |
Laura, Falchi; Debora, Slanzi; Eleonora, Balliana; Guido, Driussi; Elisabetta, Zendri Rising damp in historical buildings: A Venetian perspective in BUILDING AND ENVIRONMENT, vol. 131, pp. 117-127 (ISSN 0360-1323) DOI - Scheda ARCA: 10278/3695853 |
2018 | Articolo su libro |
Slanzi, Debora; Anzoise, Valentina; Poli, Irene Modeling Urbanization Perception: Emerging Topics on Hangzhou Future Sci-Tech City Development , Artificial Life and Evolutionary Computation., Springer International Publishing, vol. 830, pp. 229-239 (ISBN 978-3-319-78657-5; 978-3-319-78658-2) (ISSN 1865-0929) DOI - Scheda ARCA: 10278/3699714 |
2018 | Articolo su libro |
Slanzi, Debora; Mameli, Valentina; Khoroshiltseva, Marina; Poli, Irene Multi-objective Optimization in High-Dimensional Molecular Systems , Artificial Life and Evolutionary Computation. WIVACE 2017., Springer International Publishing, vol. 830, pp. 284-295 (ISBN 978-3-319-78657-5; 978-3-319-78658-2) (ISSN 1865-0929) DOI - Scheda ARCA: 10278/3699716 |
2018 | Articolo in Atti di convegno |
Slanzi, D.; Mameli, V.; Poli, I. On Bayesian high-dimensional regression with binary predictors: a simulation study in Antonino Abbruzzo, Eugenio Brentari, Marcello Chiodi e Davide Piacentino, Proceedings of the 49th Scientific Meeting of the Italian Statistical Society, Pearson, pp. 1-6, Convegno: 49th Scientific Meeting of the Italian Statistical Society, 20-22 June 2018 (ISBN 9788891910233) - Scheda ARCA: 10278/3706449 |
2018 | Articolo in Atti di convegno |
Mameli Valentina, Slanzi Debora, Irene Poli On the estimation of high-dimensional regression models with binary covariates in Antonino Abbruzzo, Eugenio Brentari, Marcello Chiodi e Davide Piacentino, Proceedings of the 49th Scientific Meeting of the Italian Statistical Society, Pearson, pp. 1-6, Convegno: 49th Scientific Meeting of the Italian Statistical Society, 20-22 Giugno 2018 (ISBN 9788891910233) - Scheda ARCA: 10278/3701764 |
2018 | Curatela |
(a cura di) Marcello Pelillo, Irene Poli, Andrea Roli, Roberto Serra, Debora Slanzi, Marco Villani Artificial Life and Evolutionary Computation. , Springer International Publishing, vol. 830 (ISBN 978-3-319-78658-2; 978-3-319-78657-5) (ISSN 1865-0929) DOI - Scheda ARCA: 10278/3698371 |
2017 | Articolo su rivista |
L.Falchi; D.Slanzi; L.Speri; I.Poli; E.Zendri Optimization of sustainable, NaCl-resistant and water-repellent renders through evolutionary experimental design in CONSTRUCTION AND BUILDING MATERIALS, vol. 147, pp. 876-889 (ISSN 0950-0618) DOI - Scheda ARCA: 10278/3686312 |
2017 | Articolo su libro |
Giovannelli, Alessandro; Slanzi, Debora; Khoroshiltseva, Marina; Poli, Irene Model-Based Lead Molecule Design in Federico Rossi; Stefano Piotto; Simona Concilio, Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, Springer International Publishing, vol. 708, pp. 103-113 (ISBN 978-3-319-57710-4) (ISSN 1865-0929) DOI - Scheda ARCA: 10278/3686367 |
2017 | Articolo su libro |
Mameli, Valentina; Lunardon, Nicola; Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene Reducing Dimensionality in Molecular Systems: A Bayesian Non-parametric Approach in Federico Rossi; Stefano Piotto; Simona Concilio, Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, Springer International Publishing, vol. 708, pp. 114-125 (ISBN 978-3-319-57710-4) (ISSN 1865-0929) DOI - Scheda ARCA: 10278/3686374 |
2017 | Articolo su libro |
Fano, Shira; Slanzi, Debora Using Twitter Data to Monitor Political Campaigns and Predict Election Results , Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017, Springer International Publishing, vol. 619, pp. 191-197 (ISBN 978-3-319-61577-6; 978-3-319-61578-3) (ISSN 2194-5357) DOI - Scheda ARCA: 10278/3690238 |
2017 | Articolo in Atti di convegno |
Mameli, Valentina; Slanzi, Debora; Poli, Irene Bootstrap group penalty for highdimensional regression models , Proceedings of the Conference of the Italian Statistical Society, Alessandra Petrucci, Rosanna Verde, pp. 633-638, Convegno: Statistics and Data Science: new challenges, new generations., 28-30 June 2017 (ISBN 978-88-6453-521-0) - Scheda ARCA: 10278/3690309 |
2017 | Articolo in Atti di convegno |
Debora Slanzi, Valentina Mameli, Marina Khoroshiltseva, Irene Poli Evolving multi-objective optimization in high dimensional systems , Wivace 2017 - Book of Abstracts, Reggio Emilia (RE), Università degli Studi di Modena e Reggio Emilia, pp. 40-44, Convegno: WIVACE 2017, 19-21 September 2017 (ISBN 978-88-903581-3-5) - Scheda ARCA: 10278/3698402 |
2017 | Articolo in Atti di convegno |
Debora Slanzi, Valentina Anzoise, Irene Poli Modeling emerging topics on sustainable urban development perception: the case of Hangzhou Future Sci-Tech City , Wivace 2017 - Book of Abstracts, Reggio Emilia (RE), Università degli Studi di Modena e Reggio Emilia, pp. 71-74, Convegno: WIVACE 2017, 19-21 September 2017 (ISBN 978-88-903581-3-5) - Scheda ARCA: 10278/3698404 |
2017 | Abstract in Atti di convegno |
Shira, Fano; Slanzi, Debora Balancing Twitter Data with Survey Information to Predict Electoral Outcomes in CM Stützer, O Hellwig, O Tabino, M Thielsch, A Wachenfeld-Schell, Shaping. On line. Research. Proceedings of the 19th General Online Research Conference., German Society for Online Research, pp. 44-44, Convegno: 19th General Online Research Conference, 15-17 March 2017 (ISBN 978-3-9815106-3-8) - Scheda ARCA: 10278/3684710 |
2017 | Abstract in Atti di convegno |
Mameli, Valentina; Lunardon, Nicola; Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene Reducing dimensionality of molecular systems: a Bayesian non-parametric approach , Proceedings of the 11th Italian Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2016, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, vol. 708, pp. 114-125, Convegno: Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2016, 4-7 Ottobre 2016 (ISSN 1865-0929) DOI - Scheda ARCA: 10278/3685656 |
2016 | Articolo su rivista |
Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices in APPLIED ENERGY, vol. 184, pp. 1400-1410 (ISSN 0306-2619) DOI - Scheda ARCA: 10278/3672669 |
2016 | Articolo su rivista |
Micheluz, Anna; Manente, Sabrina; Rovea, Manuela; Slanzi, Debora; Varese, Giovanna Cristina; Ravagnan, Giampietro; Formenton, Gianmaria Detection of volatile metabolites of moulds isolated from a contaminated library in JOURNAL OF MICROBIOLOGICAL METHODS, vol. 128, pp. 34-41 (ISSN 0167-7012) DOI - URL correlato - Scheda ARCA: 10278/3680287 |
2016 | Abstract in Atti di convegno |
Giovannelli, Alessandro; Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene Model-based lead molecule design , Proceedings of the 11th Italian Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2016, WIVACE, Convegno: Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2016, 4-7 Ottobre 2016 DOI - Scheda ARCA: 10278/3685655 |
2015 | Articolo su rivista |
Slanzi, Debora; De Lucrezia, Davide; Poli, Irene Querying Bayesian networks to design experiments with application to 1AGY serine esterase protein engineering in CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, vol. 149, pp. 28-38 (ISSN 0169-7439) DOI - Scheda ARCA: 10278/3662220 |
2015 | Articolo su libro |
De March, D.; Borrotti, M.; Sartore, L.; Slanzi, D.; Podesta, L.; Poli, I. A predictive approach based on neural network models for building automation systems , Advances in Neural Networks: Computational and Theoretical Issues, Springer Science and Business Media Deutschland GmbH, vol. 37, pp. 253-262 (ISBN 978-3-319-18163-9; 978-3-319-18164-6; 978-3-319-18163-9; 978-3-319-18164-6) (ISSN 2190-3018) DOI - URL correlato - Scheda ARCA: 10278/3660248 |
2015 | Articolo in Atti di convegno |
Khoroshiltseva, M.; Slanzi, D.; March, D. De; Poli, I. Pareto-based multi-objective optimization algorithms to design energy-efficient static daylight solutions , Proceedings of the 10th Conference on Sustainable Development of Energy, Water and Environment Systems, AAVV, vol. SDEWES2015.0327, pp. 1-11, Convegno: SDEWES 2015, September 27 - October 2, 2015 - Scheda ARCA: 10278/3662219 |
2014 | Articolo su rivista |
M. Borrotti; D. De March; D. Slanzi; I. Poli Designing lead optimisation of MMP-12 Inhibitors in COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, vol. 2014, pp. 1-8 (ISSN 1748-670X) DOI - Scheda ARCA: 10278/39160 |
2014 | Articolo su rivista |
D. Slanzi; I.Poli Evolutionary Bayesian Network Design for High Dimensional Experiments in CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, vol. 135, pp. 172-182 (ISSN 0169-7439) DOI - Scheda ARCA: 10278/40035 |
2014 | Articolo su libro |
D. Slanzi; M. Borrotti; D. De March; D. Orlando; S. Giove; I. Poli Qualitative Particle Swarm Optimization (Q-PSO) for Enery-Efficient Building Designs in C. Pizzuti, G. Spezzano, Advances in Artificial Life and Evolutionary Computation, Springer, vol. 445, pp. 13-25 (ISBN 978-3-319-12744-6) DOI - Scheda ARCA: 10278/41992 |
2014 | Articolo in Atti di convegno |
M. Borrotti; D. De March; D. Slanzi; I. Poli An evolutionary model-based optimization method for energy-efficent building renovation , Proceedings of the 9th Conference on Sustainabl Development of Energy, Water and Environment Systems, pp. 1-12, Convegno: SDEWES2014 - Scheda ARCA: 10278/43189 |
2014 | Abstract in Atti di convegno |
M. Borrotti; L. Sartore; D. Slanzi Intelligent control system model-based optimisation for energy saving , Proceeding of ERCIM 2014, Convegno: ERCIM2014, 07-09 December 2014 (ISBN 9788493782245) - Scheda ARCA: 10278/43529 |
2012 | Articolo su rivista |
D. De Lucrezia; D. Slanzi; I. Poli; F. Polticelli; G. Minervini Do Natural Proteins Differ from Random Sequences Polypeptides? Natural vs. Random Proteins Classification Using an Evolutionary Neural Network in PLOS ONE, vol. 7(5), pp. 1-10 (ISSN 1932-6203) DOI - Scheda ARCA: 10278/32911 |
2012 | Articolo su libro |
M. Forlin; D. Slanzi; I. Poli Combining Probabilistic Dependency Models and Particle Swarm Optimization for Parameter Inference in Stochastic Biological Systems in FL Gaol, QV Nguyen, Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science, Springer, vol. 145/2012, pp. 437-443 (ISBN 9783642283079) DOI - Scheda ARCA: 10278/30949 |
2011 | Articolo in Atti di convegno |
SLANZI D.; POLI I. The Evolutionary Design of Experiments in high dimensional settings , Statistics in the 150 years from Italian Unification, Convegno: SIS 2011 Statistical Conference (ISSN 1973-9346) - Scheda ARCA: 10278/30191 |
2011 | Abstract in Atti di convegno |
D. Slanzi; I. Poli High dimensional design of experiments: The combination of evolution and statistical models. , Proceedings of ERCIM 2011, Convegno: ERCIM 2011, 17-19 December 2011 - Scheda ARCA: 10278/43720 |
2010 | Articolo su rivista |
A. BROGINI; D. SLANZI On using Bayesian networks for complexity reduction in decision trees in STATISTICAL METHODS & APPLICATIONS, vol. 19, pp. 127-139 (ISSN 1618-2510) DOI - Scheda ARCA: 10278/24044 |
2010 | Articolo su libro |
De March D.; Forlin M.; Slanzi D.; Poli I. An evolutionary predictive approach to design high dimensional experiments in R. Serra, I. Poli, M. Villani, Artificial Life and Evolutionary Computation: Proceedings of WIVACE 2008, Singapore, World Scientific, 2010, pp. 81-88 (ISBN 9789814287449) DOI - Scheda ARCA: 10278/27642 |
2010 | Articolo su libro |
A. BROGINI; D. SLANZI Several computational studies about variable selections for probabilistic Bayesian classifiers in F. Palumbo, C. Lauro, M. Greenacre, Data Analysis and Classification., Springer-Verlag, pp. 199-207 (ISBN 9783642037382) (ISSN 1431-8814) DOI - Scheda ARCA: 10278/24045 |
2010 | Abstract in Atti di convegno |
D. Slanzi; I. Poli; D. De Lucrezia; G. Minervini The evolutionary Bayesian network design for combinatorial synthetic proteins. , Proceedings of ERCIM 2010, Convegno: ERCIM 2010, 10-12 December 2010 - Scheda ARCA: 10278/43721 |
2009 | Articolo su rivista |
G. MINERVINI; G. EVANGELISTA; L. VILLANOVA; D. SLANZI; D. DE LUCREZIA; I. POLI; P. L. LUISI; F. POLTICELLI Massive non natural proteins structure prediction using grid technologies in BMC BIOINFORMATICS, vol. 10 Supp. 6, pp. 1-9 (ISSN 1471-2105) DOI - Scheda ARCA: 10278/24020 |
2009 | Articolo in Atti di convegno |
A. BROGINI; D. SLANZI Confident Bayesian networks: a non parametric bootstrap approach , Classification and data analysis 2009. Book of short papers, Convegno: Classification and data analysis 2009 (ISBN 9788861294066) - Scheda ARCA: 10278/24046 |
2009 | Articolo in Atti di convegno |
DE MARCH D; SLANZI D; POLI I. Evolutionary Algorithms for Complex Experimental Designs , Simulation, S.M. Ermakov, V.B. Melas, A.N. Pepelyshev (eds.), Convegno: 6th St. Petersburg Workshop on Simulation, June 28 - July 4 (ISBN 9785965103546) - Scheda ARCA: 10278/21108 |
2009 | Articolo in Atti di convegno |
SLANZI D; DE MARCH D; POLI I. Evolutionary Probabilistic Graphical Models in High Dimensional Data Analysis in F. Mola, C. Conversano, V.E. Vinzi, N. Fisher, European Regional Meeting of the International Society for Business and Industrial Statistics, CAGLIARI, TILAPIA Publ., pp. 124-125, Convegno: European Regional Meeting of the International Society for Business and Industrial Statistics (ISBN 9788889744130) - Scheda ARCA: 10278/21146 |
2009 | Articolo in Atti di convegno |
POLI I.; SLANZI D; VILLANOVA L; DE LUCREZIA D; MINERVINI G; POLTICELLI F Non natural protein structure identification in Ingrassia S.; Rocci R., Classification and data analysis 2009. Book of short papers, pp. 597-660, Convegno: Classification and data analysis 2009 (ISBN 9788861294066) - Scheda ARCA: 10278/21107 |
2009 | Articolo in Atti di convegno |
SLANZI D; DE MARCH D; POLI I. Probabilistic graphical models in high dimensional systems in S.M. Ermakov, V.B. Melas, A.N. Pepelyshev, Simulation, ST. PETERSBURG, pp. 557-560, Convegno: 6th St. Petersburg Workshop on Simulation (ISBN 9785965103546) - Scheda ARCA: 10278/21109 |
2008 | Articolo su libro |
CAMPOSTRINI S.; L.BERNARDI; D. SLANZI Le determinanti della valutazione della didattica attraverso il parere degli studenti in CAPURSI V. E GHELLINI G., Dottor Divago: Discernere valutare e governare la nuova Università, MILANO, FRANCO ANGELI, pp. 102-122 (ISBN 9788846496348) - Scheda ARCA: 10278/19570 |
2007 | Articolo su libro |
A. BROGINI; D. SLANZI L’uso di reti Bayesiane per l’analisi di dati statistici multivariati , Demografia e Statistica: un ricordo di Enzo Lombardo tra scienza e cultura, TIPAR Roma Editrice, pp. 57-64 - Scheda ARCA: 10278/24150 |
2007 | Articolo in Atti di convegno |
M. FORLIN; D. De MARCH; D. SLANZI; I. POLI A Predictive Evolutionary Approach to Design Biochemical Experiments , Risk and Prediction, Convegno: Intermediate Conference SIS 2007 (ISBN 9788861290938) - Scheda ARCA: 10278/28325 |
2007 | Articolo in Atti di convegno |
D. SLANZI; M. TREVISAN; L. VILLANOVA; G. PALU'; I. POLI Bayesian Analysis of Cytomegalovirus Infection from Microarray Data , Risk and Prediction, Convegno: Intermediate Conference SIS 2007 (ISBN 9788861290938) - Scheda ARCA: 10278/28324 |
2007 | Articolo in Atti di convegno |
D. SLANZI; I. POLI; D. De MARCH; M. FORLIN Bayesian Networks for Detecting Relevant Variable Interactions for Biochemical Experiments , Risk and Prediction, Convegno: Intermediate Conference SIS 2007 (ISBN 9788861290938) - Scheda ARCA: 10278/28323 |
2006 | Tesi di Dottorato |
SLANZI D. Reti Bayesiane: Approcci per la selezione del modello. - Scheda ARCA: 10278/30190 |
2005 | Articolo su rivista |
BOLZAN M.; BROGINI A.; SLANZI D. APPRENDIMENTO DI MODELLI GRAFICI ESPLORATIVI PER LA VALUTAZIONE IN AMBITO SOCIO-SANITARIO: IL CASO DELL'ASSISTENZA INFORMALE in NON PROFIT, vol. 1, pp. 207-224 (ISSN 1122-9322) - Scheda ARCA: 10278/32681 |
2005 | Articolo in Atti di convegno |
BOLZAN M.; BROGINI A.; SLANZI D. I MODELLI GRAFICI ESPLORATIVI PER L'ANALISI DEL FABBISOGNO DI ASSISTENZA OSPEDALIERA INFORMALE , pp. 375-388, Convegno: EFFICACIA ESTERNA DELLA FORMAZIONE UNIVERSITARIA: IL PROGETTO OUTCOMES - Scheda ARCA: 10278/8116 |
2005 | Articolo in Atti di convegno |
BROGINI A.; SLANZI D. UNSUPERVISED VS SUPERVISED LEARNING IN A REAL COMPLEX SYSTEM , pp. 467-472, Convegno: MODELLI COMPLESSI E METODI COMPUTAZIONALI INTENSIVI PER LA STIMA E LA PREVISIONE. S.CO. 2005 - Scheda ARCA: 10278/8115 |
2004 | Articolo su libro |
BROGINI A.; BOLZAN M.; SLANZI D. IDENTIFYING A BAYESIAN NETWORK FOR THE PROBLEM HOSPITAL AND FAMILIES. THE ANALYSIS OF PATIENT SATISFACTION WITH THEIR STAY IN HOSPITAL in DI BACCO M.; D'AMORE G.; SCALFARI F., APPLIED BAYESIAN STATISTICAL STUDIES IN BIOLOGY AND MEDICINE, KLUWER, pp. 41-72 (ISBN 1402075480) - Scheda ARCA: 10278/12831 |