SLANZI Debora

Position
Researcher
Telephone
041 234 7423
E-mail
debora.slanzi@unive.it
Fax
041 234 7444
Scientific sector (SSD)
STATISTICA [SECS-S/01]
Website
www.unive.it/persone/debora.slanzi (personal record)
Office
Department of Management
Website: https://www.unive.it/dep.management
Where: San Giobbe
Office
European Center for Living Technology (ECLT)
Research Institute
Research Institute for Complexity

Publications

Anno Tipologia Pubblicazione
Anno Tipologia Pubblicazione
2021 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. onlineFirst, pp. 1-21 (ISSN 0361-0918)
DOI - Scheda ARCA: 10278/3738548
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. onlineFirst, pp. 1-18 (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) (ISSN 0302-9743)
DOI - Scheda ARCA: 10278/3738884
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 (ISSN 0048-9697)
DOI - URL correlato - Scheda ARCA: 10278/3725969
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 - 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