SLANZI Debora

Qualifica Ricercatrice Universitaria
Telefono 041 234 7423
E-mail debora.slanzi@unive.it
Fax 041 234 7444
Sito web www.unive.it/persone/debora.slanzi (scheda personale)
Struttura Dipartimento di 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
Sede: Palazzo Minich
Research Institute Research Institute for Complexity

Pubblicazioni per tipologia

Tesi di Dottorato
Articolo su rivista
  • Anzoise, Valentina; Slanzi, Debora; Poli, Irene (2019), Local stakeholders’ narratives about large-scale urban development: The Zhejiang Hangzhou Future Sci-Tech City in URBAN STUDIES, vol. --, pp. 1-17 (ISSN 0042-0980)
    Link DOI Link al documento: 10278/3711529
  • Laura, Falchi; Debora, Slanzi; Eleonora, Balliana; Guido, Driussi; Elisabetta, Zendri (2018), Rising damp in historical buildings: A Venetian perspective in BUILDING AND ENVIRONMENT, vol. 131, pp. 117-127 (ISSN 0360-1323)
    Link DOI Link al documento: 10278/3695853
  • L.Falchi; D.Slanzi; L.Speri; I.Poli; E.Zendri (2017), 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)
    Link DOI Link al documento: 10278/3686312
  • Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene (2016), A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices in APPLIED ENERGY, vol. 184, pp. 1400-1410 (ISSN 0306-2619)
    Link DOI Link al documento: 10278/3672669
  • Micheluz, Anna; Manente, Sabrina; Rovea, Manuela; Slanzi, Debora; Varese, Giovanna Cristina; Ravagnan, Giampietro; Formenton, Gianmaria (2016), Detection of volatile metabolites of moulds isolated from a contaminated library in JOURNAL OF MICROBIOLOGICAL METHODS, vol. 128, pp. 34-41 (ISSN 0167-7012)
    Link DOIURL correlato Link al documento: 10278/3680287
  • Slanzi, Debora; De Lucrezia, Davide; Poli, Irene (2015), Querying Bayesian Networks to design experiments with application to 1AGY serine esterase protein engineering in CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, vol. Volume 149, Part A, pp. 28-38 (ISSN 0169-7439)
    Link DOI Link al documento: 10278/3662220
  • M. Borrotti; D. De March; D. Slanzi; I. Poli (2014), Designing lead optimisation of MMP-12 Inhibitors in COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, vol. 2014, pp. 1-8 (ISSN 1748-670X)
    Link DOI Link al documento: 10278/39160
  • D. Slanzi; I.Poli (2014), Evolutionary Bayesian Network Design for High Dimensional Experiments in CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, vol. 135, pp. 172-182 (ISSN 0169-7439)
    Link DOI Link al documento: 10278/40035
  • D. De Lucrezia; D. Slanzi; I. Poli; F. Polticelli; G. Minervini (2012), 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)
    Link DOI Link al documento: 10278/32911
  • A. BROGINI; D. SLANZI (2010), On using Bayesian networks for complexity reduction in decision trees in STATISTICAL METHODS & APPLICATIONS, vol. 19, pp. 127-139 (ISSN 1618-2510)
    Link DOI Link al documento: 10278/24044
  • G. MINERVINI; G. EVANGELISTA; L. VILLANOVA; D. SLANZI; D. DE LUCREZIA; I. POLI; P. L. LUISI; F. POLTICELLI (2009), Massive non natural proteins structure prediction using grid technologies in BMC BIOINFORMATICS, vol. 10 Supp. 6, pp. 1-9 (ISSN 1471-2105)
    Link DOI Link al documento: 10278/24020
  • BOLZAN M.; BROGINI A.; SLANZI D. (2005), 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)
    Link al documento: 10278/32681
Articolo su libro
  • Mameli, V.; Slanzi, D.; Poli, I. (2019), 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)
    Link DOIURL correlato Link al documento: 10278/3708952
  • Fano, Shira; Slanzi, Debora (2019), 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)
    Link DOI Link al documento: 10278/3714210
  • Veronica Distefano, Irene Poli, Debora Slanzi (2019), 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)
    Link al documento: 10278/3716760
  • Slanzi, Debora; Anzoise, Valentina; Poli, Irene (2018), 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)
    Link DOI Link al documento: 10278/3699714
  • Slanzi, Debora; Mameli, Valentina; Khoroshiltseva, Marina; Poli, Irene (2018), 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)
    Link DOI Link al documento: 10278/3699716
  • Giovannelli, Alessandro; Slanzi, Debora; Khoroshiltseva, Marina; Poli, Irene (2017), 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)
    Link DOI Link al documento: 10278/3686367
  • Mameli, Valentina; Lunardon, Nicola; Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene (2017), 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)
    Link DOI Link al documento: 10278/3686374
  • Fano, Shira; Slanzi, Debora (2017), 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)
    Link DOI Link al documento: 10278/3690238
  • De March, D.; Borrotti, M.; Sartore, L.; Slanzi, D.; Podesta, L.; Poli, I. (2015), 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)
    Link DOIURL correlato Link al documento: 10278/3660248
  • D. Slanzi; M. Borrotti; D. De March; D. Orlando; S. Giove; I. Poli (2014), 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)
    Link DOI Link al documento: 10278/41992
  • M. Forlin; D. Slanzi; I. Poli (2012), 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)
    Link DOI Link al documento: 10278/30949
  • De March D.; Forlin M.; Slanzi D.; Poli I. (2010), 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)
    Link DOI Link al documento: 10278/27642
  • A. BROGINI; D. SLANZI (2010), 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)
    Link DOI Link al documento: 10278/24045
  • CAMPOSTRINI S.; L.BERNARDI; D. SLANZI (2008), 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)
    Link al documento: 10278/19570
  • A. BROGINI; D. SLANZI (2007), 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
    Link al documento: 10278/24150
  • BROGINI A.; BOLZAN M.; SLANZI D. (2004), 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)
    Link al documento: 10278/12831
Articolo in Atti di convegno
  • Slanzi, D.; Mameli, V.; Poli, I. (2019), 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)
    Link al documento: 10278/3716759
  • Francesca Checchinato; Fulvio Fortezza; Debora Slanzi (2019), 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)
    Link al documento: 10278/3720372
  • Slanzi, D.; Mameli, V.; Poli, I. (2018), 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)
    Link al documento: 10278/3706449
  • Mameli Valentina, Slanzi Debora, Irene Poli (2018), 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)
    Link al documento: 10278/3701764
  • Mameli, Valentina; Slanzi, Debora; Poli, Irene (2017), 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)
    Link al documento: 10278/3690309
  • Debora Slanzi, Valentina Mameli, Marina Khoroshiltseva, Irene Poli (2017), 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)
    Link al documento: 10278/3698402
  • Debora​ ​Slanzi,​ ​Valentina​ ​Anzoise​, Irene​ ​Poli (2017), 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)
    Link al documento: 10278/3698404
  • Khoroshiltseva, M.; Slanzi, D.; March, D. De; Poli, I. (2015), 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
    Link al documento: 10278/3662219
  • M. Borrotti; D. De March; D. Slanzi; I. Poli (2014), 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
    Link al documento: 10278/43189
  • SLANZI D.; POLI I. (2011), 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)
    Link al documento: 10278/30191
  • A. BROGINI; D. SLANZI (2009), 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)
    Link al documento: 10278/24046
  • DE MARCH D; SLANZI D; POLI I. (2009), 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)
    Link al documento: 10278/21108
  • SLANZI D; DE MARCH D; POLI I. (2009), 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)
    Link al documento: 10278/21146
  • POLI I.; SLANZI D; VILLANOVA L; DE LUCREZIA D; MINERVINI G; POLTICELLI F (2009), 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)
    Link al documento: 10278/21107
  • SLANZI D; DE MARCH D; POLI I. (2009), 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)
    Link al documento: 10278/21109
  • M. FORLIN; D. De MARCH; D. SLANZI; I. POLI (2007), A Predictive Evolutionary Approach to Design Biochemical Experiments , Risk and Prediction, Convegno: Intermediate Conference SIS 2007 (ISBN 9788861290938)
    Link al documento: 10278/28325
  • D. SLANZI; M. TREVISAN; L. VILLANOVA; G. PALU'; I. POLI (2007), Bayesian Analysis of Cytomegalovirus Infection from Microarray Data , Risk and Prediction, Convegno: Intermediate Conference SIS 2007 (ISBN 9788861290938)
    Link al documento: 10278/28324
  • D. SLANZI; I. POLI; D. De MARCH; M. FORLIN (2007), Bayesian Networks for Detecting Relevant Variable Interactions for Biochemical Experiments , Risk and Prediction, Convegno: Intermediate Conference SIS 2007 (ISBN 9788861290938)
    Link al documento: 10278/28323
  • BOLZAN M.; BROGINI A.; SLANZI D. (2005), 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
    Link al documento: 10278/8116
  • BROGINI A.; SLANZI D. (2005), 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
    Link al documento: 10278/8115
Abstract in Atti di convegno
  • Shira, Fano; Slanzi, Debora (2017), 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)
    Link al documento: 10278/3684710
  • Giovannelli, Alessandro; Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene (2016), 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
    Link DOI Link al documento: 10278/3685655
  • Mameli, Valentina; Lunardon, Nicola; Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene (2016), 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, WIVACE, Convegno: Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2016, 4-7 Ottobre 2016
    Link al documento: 10278/3685656
  • M. Borrotti; L. Sartore; D. Slanzi (2014), Intelligent control system model-based optimisation for energy saving , Proceeding of ERCIM 2014, Convegno: ERCIM2014, 07-09 December 2014 (ISBN 9788493782245)
    Link al documento: 10278/43529
  • D. Slanzi; I. Poli (2011), High dimensional design of experiments: The combination of evolution and statistical models. , Proceedings of ERCIM 2011, Convegno: ERCIM 2011, 17-19 December 2011
    Link al documento: 10278/43720
  • D. Slanzi; I. Poli; D. De Lucrezia; G. Minervini (2010), The evolutionary Bayesian network design for combinatorial synthetic proteins. , Proceedings of ERCIM 2010, Convegno: ERCIM 2010, 10-12 December 2010
    Link al documento: 10278/43721
Curatela
  • (a cura di) Marcello Pelillo, Irene Poli, Andrea Roli, Roberto Serra, Debora Slanzi, Marco Villani (2018), Artificial Life and Evolutionary Computation. , Springer International Publishing, vol. 830 (ISBN 978-3-319-78658-2; 978-3-319-78657-5) (ISSN 1865-0929)
    Link DOI Link al documento: 10278/3698371