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Francesca Fallucchi
Researcher at Marconi University
Publications - 55
Citations - 964
Francesca Fallucchi is an academic researcher from Marconi University. The author has contributed to research in topics: Computer science & Ontology (information science). The author has an hindex of 10, co-authored 41 publications receiving 512 citations. Previous affiliations of Francesca Fallucchi include Sapienza University of Rome & University of Rome Tor Vergata.
Papers
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Blockchain, State-of-the-Art and Future Trends
TL;DR: A non exhaustive list on the state of the art about Blockchain technology in multiple application fields, both from an industry and business perspective and from a consumer one and a dedicated focus on the frictions between distributed ledgers and data protection regulations crossing all these areas are presented.
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Smarter City: Smart Energy Grid based on Blockchain Technology
TL;DR: This paper intends to investigate the Smart Environment pillar, and in particular the aspect related to the implementation of Smart Energy Grid for citizens in the urban context, using the Blockchain technology to join the Grid, exchanging information, and buy/sell energy between the involved nodes (energy providers and private citizens), using the blockchain granting ledger.
Proceedings Article
Estimating Linear Models for Compositional Distributional Semantics
TL;DR: This paper proposes a novel approach to estimate parameters for a class of compositional distributional models: the additive models, and demonstrates that this approach outperforms existing methods for determining a good model for compositional distributionsal semantics.
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Predicting Employee Attrition Using Machine Learning Techniques
TL;DR: The goal of this work is to analyse how objective factors influence employee attrition, in order to identify the main causes that contribute to a worker’s decision to leave a company, and to be able to predict whether a particular employee will leave the company.
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E-health-IoT Universe: A Review
TL;DR: The state-of-art of IoT in medical environment is analyzed, illustrating an extended range of IoT-driven healthcare applications that, however, still need innovative and high technology-based solutions to be considered ready to market.