TY - Generic T1 - Quantile Regression Forest for Value-at-Risk Forecasting Via Mixed-Frequency Data T2 - Mathematical and Statistical Methods for Actuarial Sciences and Finance Y1 - 2022 A1 - Mila Andreani A1 - Candila, Vincenzo A1 - Petrella, Lea JF - Mathematical and Statistical Methods for Actuarial Sciences and Finance PB - Springer, Cham ER - TY - JOUR T1 - Multivariate Analysis of Energy Commodities during the COVID-19 Pandemic: Evidence from a Mixed-Frequency Approach JF - Risks Y1 - 2021 A1 - Mila Andreani A1 - Candila, Vincenzo A1 - Morelli, Giacomo A1 - Petrella, Lea VL - 9 UR - https://www.mdpi.com/2227-9091/9/8/144 ER - TY - Generic T1 - Quantile Regression Forest with mixed-frequency data Y1 - 2021 A1 - Mila Andreani A1 - Vincenzo Candila A1 - Lea Petrella PB - Pearson VL - Book of Short Papers SIS 2021 UR - https://it.pearson.com//docenti/universita/partnership/sis.html ER - TY - JOUR T1 - Drivers of change in biodiversity and ecosystem services in the Cantareira System Protected Area : A prospective analysis of the implementation of public policies JF - Biota Neotropica Y1 - 2020 A1 - Viviane Dib A1 - Marco Aurélio Nalon A1 - Nino Tavares Amazonas A1 - Cristina Yuri Vidal A1 - Iván A. Ortiz-Rodríguez A1 - Jan Daněk A1 - Maíra Formis de Oliveira A1 - Paola Alberti A1 - Rafaela Aparecida da Silva A1 - Raíza Salomão Precinoto A1 - Taciana Figueiredo Gomes KW - Biodiversity KW - Cantareira System Protected Area KW - Ecosystem services KW - GLOBIO KW - InVEST KW - Modeling KW - Scenarios AB - The lack of implementation of well-designed public policies aimed at the conservation of natural ecosystems has resulted, at a global level, in the decline of ecosystem functioning and, consequently, of the contributions they make to people. The poor enforcement of important environmental legislation in Brazil - for instance, the “Atlantic Forest Law” (Law n.11.428/2006) and the “Forest Code” (Law n.12.651/2012) - could compromise the overall maintenance of ecosystems and the services they provide. To explore the implications of different levels of federal laws’ enforcement within the Cantareira System Protected Area (PA) - a PA in southeastern Brazil that provides fresh water for 47% of the Sao Paulo Metropolitan Area -, we developed a conceptual framework to identify indirect and direct drives of biodiversity and ecosystem changes. We also projected four land-use scenarios to 2050 to test the effects of deforestation control and forest restoration practices on biodiversity and ecosystem services maintenance: the “business-as-usual” scenario (BAU), which assumes that all trends in land-use cover changes observed in the past will continue in the future, and three alternative exploratory scenarios considering the Atlantic Forest Law implementation, the partial implementation of the Forest Code and the full implementation of the Forest Code. Using the land-use maps generated for each scenario, we assessed the impacts of land-use changes on biodiversity conservation and soil retention. Our results revealed all alternative scenarios could increase biodiversity conservation (by 7%; 12%; and 12%, respectively), reduce soil loss (by 24.70%; 34.70%; and 38.12%, respectively) and sediment exportation to water (by 27.47%; 55.06%; and 59.28%, respectively), when compared to the BAU scenario. Our findings highlight the importance of restoring and conserving native vegetation for the maintenance and improvement of biodiversity conservation and for the provision of ecosystem services. VL - 20 UR - https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032020000500201 IS - 1 ER - TY - Generic T1 - Dynamic Quantile Regression Forest T2 - SIS 2020 - 50th Conference of the Italian Statistical Society Y1 - 2020 A1 - Mila Andreani A1 - Lea Petrella JF - SIS 2020 - 50th Conference of the Italian Statistical Society PB - Pearson VL - Book of Short Papers SIS 2020 UR - https://it.pearson.com/content/dam/region-core/italy/pearson-italy/pdf/Docenti/Universit%C3%A0/Pearson-SIS-2020-atti-convegno.pdf ER - TY - JOUR T1 - Human migration: the big data perspective JF - International Journal of Data Science and Analytics Y1 - 2020 A1 - Alina Sirbu A1 - Andrienko, Gennady A1 - Andrienko, Natalia A1 - Boldrini, Chiara A1 - Conti, Marco A1 - Giannotti, Fosca A1 - Guidotti, Riccardo A1 - Bertoli, Simone A1 - Jisu Kim A1 - Muntean, Cristina Ioana A1 - others AB - How can big data help to understand the migration phenomenon? In this paper, we try to answer this question through an analysis of various phases of migration, comparing traditional and novel data sources and models at each phase. We concentrate on three phases of migration, at each phase describing the state of the art and recent developments and ideas. The first phase includes the journey, and we study migration flows and stocks, providing examples where big data can have an impact. The second phase discusses the stay, i.e. migrant integration in the destination country. We explore various data sets and models that can be used to quantify and understand migrant integration, with the final aim of providing the basis for the construction of a novel multi-level integration index. The last phase is related to the effects of migration on the source countries and the return of migrants. ER - TY - CONF T1 - SOM-Based Behavioral Analysis for Virtualized Network Functions T2 - Proceedings of the 35th Annual ACM Symposium on Applied Computing Y1 - 2020 A1 - Giacomo Lanciano A1 - Antonio Ritacco A1 - Tommaso Cucinotta A1 - Marco Vannucci A1 - Antonino Artale A1 - Luca Basili A1 - Enrica Sposato A1 - Joao Barata KW - machine learning KW - network function virtualization KW - self-organizing maps AB - In this paper, we propose a mechanism based on Self-Organizing Maps for analyzing the resource consumption behaviors and detecting possible anomalies in data centers for Network Function Virtualization (NFV). Our approach is based on a joint analysis of two historical data sets available through two separate monitoring systems: system-level metrics for the physical and virtual machines obtained from the monitoring infrastructure, and application-level metrics available from the individual virtualized network functions. Experimental results, obtained by processing real data from one of the NFV data centers of the Vodafone network operator, highlight some of the capabilities of our system to identify interesting points in space and time of the evolution of the monitored infrastructure. JF - Proceedings of the 35th Annual ACM Symposium on Applied Computing PB - Association for Computing Machinery CY - New York, NY, USA SN - 9781450368667 UR - https://doi.org/10.1145/3341105.3374110 ER - TY - JOUR T1 - The calorimeter of the Mu2e experiment at Fermilab JF - Journal of Instrumentation Y1 - 2017 A1 - N. Atanov A1 - V. Baranov A1 - J. Budagov A1 - F. Cervelli A1 - F. Colao A1 - M. Cordelli A1 - G. Corradi A1 - E. Dané A1 - Y.I. Davydov A1 - S. Di Falco A1 - E. Diociaiuti A1 - S. Donati A1 - R. Donghia A1 - B. Echenard A1 - K. Flood A1 - S. Giovannella A1 - V. Glagolev A1 - F. Grancagnolo A1 - F. Happacher A1 - D.G. Hitlin A1 - M. Martini A1 - S. Miscetti A1 - T. Miyashita A1 - L. Morescalchi A1 - P. Murat A1 - G. Pezzullo A1 - F. Porter A1 - F. Raffaelli A1 - Tommaso Radicioni A1 - M. Ricci A1 - A. Saputi A1 - I. Sarra A1 - F. Spinella A1 - G. Tassielli A1 - V. Tereshchenko A1 - Z. Usubov A1 - R.Y. Zhu AB - The Mu2e experiment at Fermilab looks for Charged Lepton Flavor Violation (CLFV) improving by 4 orders of magnitude the current experimental sensitivity for the muon to electron conversion in a muonic atom. A positive signal could not be explained in the framework of the current Standard Model of particle interactions and therefore would be a clear indication of new physics. In 3 years of data taking, Mu2e is expected to observe less than one background event mimicking the electron coming from muon conversion. Achieving such a level of background suppression requires a deep knowledge of the experimental apparatus: a straw tube tracker, measuring the electron momentum and time, a cosmic ray veto system rejecting most of cosmic ray background and a pure CsI crystal calorimeter, that will measure time of flight, energy and impact position of the converted electron. The calorimeter has to operate in a harsh radiation environment, in a 10−4 Torr vacuum and inside a 1 T magnetic field. The results of the first qualification tests of the calorimeter components are reported together with the energy and time performances expected from the simulation and measured in beam tests of a small scale prototype. VL - 12 UR - https://doi.org/10.1088%2F1748-0221%2F12%2F01%2Fc01061 ER -