Risultati di ricerca
con LORENZO GABRIELLI e Author sono stati trovati i seguenti risultati:
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A data driven approach for evaluating foundation skills of adults. (2017, April) Salvatori, E., Gabrielli, L. and Fosca Giannotti. Didamatica 2017.
https://phd.dii.unipi.it/pubblicazioni/item/1673-a-data-driven-approach-for-evaluating-foundation-skills-of-adults-2017,-april-salvatori,-e-,-gabrielli,-l-and-fosca-giannotti-didamatica-2017.html -
Furletti, B., Trasarti, R., Cintia, P. and Lorenzo Gabrielli. (2017,April). Discovering and Understanding City Events with Big Data. Journal on Big Data Analytics and Data-Driven Science 2017. MDPI.
https://phd.dii.unipi.it/pubblicazioni/item/1672-furletti,-b-,-trasarti,-r-,-cintia,-p-and-lorenzo-gabrielli-2017,april-discovering-and-understanding-city-events-with-big-data-journal-on-big-data-analytics-and-data-driven-science-2017-mdpi.html -
Lulli, A., Gabrielli, L., Dazzi, P., Dell'Amico, M., Michiardi, P., Nanni, M., Ricci, L. (2016, December). Scalable and flexible clustering solutions for mobile phone based population indicators. International Journal of Data Science and Analitics
https://phd.dii.unipi.it/pubblicazioni/item/1671-lulli,-a-,-gabrielli,-l-,-dazzi,-p-,-dell-amico,-m-,-michiardi,-p-,-nanni,-m-,-ricci,-l-2016,-december-scalable-and-flexible-clustering-solutions-for-mobile-phone-based-population-indicators-international-journal-of-data-science-and-analitics.html -
Calastri, C., Hess, S., Choudhury, C., Daly, A and L. Gabrielli. (2017, June). Developing mode choice models using semi-ubiquitous data sources: a case study using a smartphone based GPS survey from Italy. TRB.
https://phd.dii.unipi.it/pubblicazioni/item/1670-calastri,-c-,-hess,-s-,-choudhury,-c-,-daly,-a-and-l-gabrielli-2017,-june-developing-mode-choice-models-using-semi-ubiquitous-data-sources-a-case-study-using-a-smartphone-based-gps-survey-from-italy-trb.html -
R. Campagni, L. Gabrielli, F. Giannotti , R. Guidotti, F. Maggino and D. Pedreschi: "Extracting Social Indicators from Big Data: an Experience in Measuring Wellbeing", In DATA SCIENCE & SOCIAL RESEARCH (DSSR).
International Conference { Naples, February 17 - 19 2016
https://phd.dii.unipi.it/pubblicazioni/item/1082-r-campagni,-l-gabrielli,-f-giannotti-,-r-guidotti,-f-maggino-and-d-pedreschi-extracting-social-indicators-from-big-data-an-experience-in-measuring-wellbeing-,-in-data-science-social-research-dssr.html -
L. Gabrielli, G. Riccardi, L. Pappalardo: "Using retail market Big Data to nowcast Customer Price Index", SIS 2016
https://phd.dii.unipi.it/pubblicazioni/item/1081-l-gabrielli,-g-riccardi,-l-pappalardo-using-retail-market-big-data-to-nowcast-customer-price-index-,-sis-2016.html -
Lorenzo Gabrielli, Davide Guido, Fosca Giannotti and Luca Bastiani. A Syntethic Measurement for Political Engagement of Spending: Pilot study to measure performance of local government using Open Government Data.
The Tenth International Conference on Digital Society and eGovernments ICDS 2016. ISSN: 2308-3956, ISBN: 978-1-61208-521-0
https://phd.dii.unipi.it/pubblicazioni/item/1080-lorenzo-gabrielli,-davide-guido,-fosca-giannotti-and-luca-bastiani-a-syntethic-measurement-for-political-engagement-of-spending-pilot-study-to-measure-performance-of-local-government-using-open-government-data.html -
Alessandro Lulli, Lorenzo Gabrielli, Matteo Dell’Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci, Patrizio Dazzi. Improving Population Estimation From Mobile Calls: a Clustering Approach. ISCC 2016 The Twenty-First IEEE Symposium on Computers and
https://phd.dii.unipi.it/pubblicazioni/item/1079-alessandro-lulli,-lorenzo-gabrielli,-matteo-dell’amico,-pietro-michiardi,-mirco-nanni,-laura-ricci,-patrizio-dazzi-improving-population-estimation-from-mobile-calls-a-clustering-approach-iscc-2016-the-twenty-first-ieee-symposium-on-computers-and.html -
Luca Pappalardo, Maarten Vanhoof, Lorenzo Gabrielli, Zbigniew Smoreda, Dino Pedreschi, Fosca Giannotti. An analytical framework to nowcast well-being using mobile phone data. International Journal of Data Science and Analytics. 2016.
https://phd.dii.unipi.it/pubblicazioni/item/1078-doi-10-1007-s410.html -
City users’ classification with mobile phone data
Gabrielli L., Furletti B., Trasarti T., Giannotti F., Pedreschi D.. IEEE BIGDATA2015.
https://phd.dii.unipi.it/pubblicazioni/item/1077-doi-10-1109-bigdata-2015-7363852.html -
"Small Area Model-Based Estimators Using Big Data Sources" Marchetti, Giusti, Pratesi, Salvati, Giannotti, Pedreschi, Rinzivillo, Pappalardo, Gabrielli
The timely, accurate monitoring of social indicators, such as poverty or inequality, on a finegrained spatial and temporal scale is a crucial tool for understanding social phenomena and policymaking, but poses a great challenge to official statistics....
https://phd.dii.unipi.it/pubblicazioni/item/587-https-www-researchgate-net-publication-279757030_small_area_model-based_estimators_using_big_data_sources.html
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News
- NUOVE DATE CORSO - Prof. Sajal K. Das, Missouri University of Science and Technology Rolla, MO, USA, "Secure and Resilient Cyber-Physical Systems for Smart Living", 17-20 November 2025
- MODIFICA DATE CORSO - Prof. Martina Brofiga, University of Genova - Italy, "Innovations in In vitro Neuronal Engineering: bridging biology and technology", 22-30 September 2025
- Prof. Matteo Palma, Queen Mary University of London – U.K, “Nano(bio)technology strategies for smart materials, devices, and systems", 8-19 September 2025
- Prof. Jens C. Schwamborn, University of Luxembourg - Luxembourg Centre for Systems Biomedicine, "Current advances in brain organoid science", 22-26 September 2025
- MODIFICA AULA - Assistant Professor Xiaomeng Li, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, "Deep Learning for Medical Image Analysis", 21-23, 28 July 2025
