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Gianni Barlacchi
Researcher at University of Trento
Publications - 32
Citations - 875
Gianni Barlacchi is an academic researcher from University of Trento. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 10, co-authored 26 publications receiving 572 citations. Previous affiliations of Gianni Barlacchi include Kessler Foundation & Telecom Italia.
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Journal ArticleDOI
A multi-source dataset of urban life in the city of Milan and the Province of Trentino
Gianni Barlacchi,Marco De Nadai,Roberto Larcher,Antonio Casella,Cristiana Chitic,Giovanni Torrisi,Fabrizio Antonelli,Alessandro Vespignani,Alex Pentland,Bruno Lepri +9 more
TL;DR: In this paper, the authors describe the richest open multi-source dataset ever released on two geographical areas composed of telecommunications, weather, news, social networks and electricity data from the city of Milan and the Province of Trentino, which is an ideal testbed for methodologies and approaches aimed at tackling a wide range of problems including energy consumption, mobility planning, tourist and migrant flows, urban structures and interactions, event detection, urban well-being and many others.
A multi-source dataset of urban life in the city of Milan and the Province of Trentino
Gianni Barlacchi,Marco De Nadai,Roberto Larcher,Antonio Casella,Cristiana Chitic,Giovanni Torrisi,Fabrizio Antonelli,Alessandro Vespignani,Alex Pentland,Bruno Lepri +9 more
TL;DR: The dataset is composed of telecommunications, weather, news, social networks and electricity data from the city of Milan and the Province of Trentino and makes it an ideal testbed for methodologies and approaches aimed at tackling a wide range of problems.
Journal ArticleDOI
Modelling Taxi Drivers’ Behaviour for the Next Destination Prediction
TL;DR: In this paper, a Recurrent Neural Network (RNN) was used to predict the exact coordinates of the next destination, overcoming the problem of producing, in output, a limited set of locations, seen during the training phase.
Posted Content
scikit-mobility: a Python library for the analysis, generation and risk assessment of mobility data
TL;DR: Scikit-mobility is a Python library that has the ambition of providing an environment to reproduce existing research, analyze mobility data, and simulate human mobility habits, and is efficient and easy to use as it extends pandas, a popular Python library for data analysis.
Book ChapterDOI
ERNESTA: a sentence simplification tool for children's stories in italian
Gianni Barlacchi,Sara Tonelli +1 more
TL;DR: E ERNESTA (Enhanced Readability through a Novel Event-based Simplification Tool), the first sentence simplification system for Italian, specifically developed to improve the comprehension of factual events in stories for children with low reading skills, achieves promising results.