Search Results for author: Daniela Paolotti

Found 5 papers, 1 papers with code

Developing Annotated Resources for Internal Displacement Monitoring

no code implementations12 Apr 2021 Fabio Poletto, Yunbai Zhang, Andre Panisson, Yelena Mejova, Daniela Paolotti, Sylvain Ponserre

This paper describes in details the design and development of a novel annotation framework and of annotated resources for Internal Displacement, as the outcome of a collaboration with the Internal Displacement Monitoring Centre, aimed at improving the accuracy of their monitoring platform IDETECT.

Document Classification

Link prediction in multiplex networks via triadic closure

no code implementations16 Nov 2020 Alberto Aleta, Marta Tuninetti, Daniela Paolotti, Yamir Moreno, Michele Starnini

Our work paves the way for a deeper understanding of the role of different relational data in predicting new interactions and provides a new algorithm for link prediction in multiplex networks that can be applied to a plethora of systems.

Link Prediction Prediction

Prediction of scientific collaborations through multiplex interaction networks

no code implementations9 May 2020 Marta Tuninetti, Alberto Aleta, Daniela Paolotti, Yamir Moreno, Michele Starnini

Link prediction algorithms can help to understand the structure and dynamics of scientific collaborations and the evolution of Science.

Physics and Society Digital Libraries

Towards a data-driven characterization of behavioral changes induced by the seasonal flu

1 code implementation3 Feb 2020 Nicolò Gozzi, Daniela Perrotta, Daniela Paolotti, Nicola Perra

We describe each response with a set of features and divide them in three target categories.

Physics and Society Social and Information Networks

Learning Real Estate Automated Valuation Models from Heterogeneous Data Sources

no code implementations2 Sep 2019 Francesco Bergadano, Roberto Bertilone, Daniela Paolotti, Giancarlo Ruffo

Real estate appraisal is a complex and important task, that can be made more precise and faster with the help of automated valuation tools.

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