Paolo Cintia

Orcid: 0000-0002-8085-9338

According to our database1, Paolo Cintia authored at least 27 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Extended Energy-Expenditure Model in Soccer: Evaluating Player Performance in the Context of the Game.
Sensors, 2022

2021
(So) Big Data and the transformation of the city.
Int. J. Data Sci. Anal., 2021

Coach2vec: autoencoding the playing style of soccer coaches.
CoRR, 2021

An interactive dashboard for searching and comparing soccer performance scores.
CoRR, 2021

2020
PRIMULE: Privacy risk mitigation for user profiles.
Data Knowl. Eng., 2020

Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM.
CoRR, 2020

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy.
CoRR, 2020

Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown.
CoRR, 2020

Automatic Pass Annotation from Soccer Video Streams Based on Object Detection and LSTM.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

2019
PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach.
ACM Trans. Intell. Syst. Technol., 2019

Integration of Syrian Refugees: Insights from D4R, Media Events and Housing Market Data.
Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019

2018
PlayeRank: Multi-dimensional and role-aware rating of soccer player performance.
CoRR, 2018

Editorial.
Adv. Complex Syst., 2018

2017
Discovering and Understanding City Events with Big Data: The Case of Rome.
Inf., 2017

Human Perception of Performance.
CoRR, 2017

Who Is Going to Get Hurt? Predicting Injuries in Professional Soccer.
Proceedings of the 4th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

2016
An effective Time-Aware Map Matching process for low sampling GPS data.
CoRR, 2016

The Haka network: Evaluating rugby team performance with dynamic graph analysis.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Knowledge Discovery through Mobility Data Integration.
PhD thesis, 2015

Towards a Boosted Route Planner Using Individual Mobility Models.
Proceedings of the Software Engineering and Formal Methods, 2015

Network-based Measures for Predicting the Outcomes of Football Games.
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

The harsh rule of the goals: Data-driven performance indicators for football teams.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Mining efficient training patterns of non-professional cyclists.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

2013
Estimating Time-Dependent speed functions using a Gravity Model over Road Network.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

A Gravity Model for Speed Estimation over Road Network.
Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

Inferring human activities from GPS tracks.
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, 2013

"Engine Matters": A First Large Scale Data Driven Study on Cyclists' Performance.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013


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