Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Luca Pappalardo

Showing results (1-10 of 19) with videos related to

Pageof 2
Sort By:
Data Mining and Knowledge Discovery|July 2, 2019
Data-driven generation of spatio-temporal routines in human mobilityLuca Pappalardo, Filippo Simini
Sports (Basel, Switzerland)|January 20, 2022
A Narrative Review for a Machine Learning Application in Sports: An Example Based on Injury Forecasting in SoccerAlessio Rossi, Luca Pappalardo, Paolo Cintia
Scientific Reports|July 26, 2023
Mobility constraints in segregation modelsDaniele Gambetta, Giovanni Mauro, Luca Pappalardo
Plos One|August 4, 2021
Explaining the difference between men's and women's footballLuca Pappalardo, Alessio Rossi, Michela Natilli, et al.
Nature Computational Science|January 4, 2024
Future directions in human mobility scienceLuca Pappalardo, Ed Manley, Vedran Sekara, et al.
Nature Communications|November 13, 2021
A Deep Gravity model for mobility flows generationFilippo Simini, Gianni Barlacchi, Massimilano Luca, et al.
EPJ Data Science|January 26, 2022
Understanding peace through the world newsVasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti, et al.
EPJ Data Science|December 19, 2022
Generating mobility networks with generative adversarial networksGiovanni Mauro, Massimiliano Luca, Antonio Longa, et al.
Sensors (Basel, Switzerland)|December 23, 2022
Extended Energy-Expenditure Model in Soccer: Evaluating Player Performance in the Context of the GameArian Skoki, Alessio Rossi, Paolo Cintia, et al.
EPJ Data Science|June 7, 2021
Evaluation of home detection algorithms on mobile phone data using individual-level ground truthLuca Pappalardo, Leo Ferres, Manuel Sacasa, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Data Mining and Knowledge Discovery|July 2, 2019
Data-driven generation of spatio-temporal routines in human mobilityLuca Pappalardo, Filippo Simini
Sports (Basel, Switzerland)|January 20, 2022
A Narrative Review for a Machine Learning Application in Sports: An Example Based on Injury Forecasting in SoccerAlessio Rossi, Luca Pappalardo, Paolo Cintia
Scientific Reports|July 26, 2023
Mobility constraints in segregation modelsDaniele Gambetta, Giovanni Mauro, Luca Pappalardo
Plos One|August 4, 2021
Explaining the difference between men's and women's footballLuca Pappalardo, Alessio Rossi, Michela Natilli, et al.
Nature Computational Science|January 4, 2024
Future directions in human mobility scienceLuca Pappalardo, Ed Manley, Vedran Sekara, et al.
Nature Communications|November 13, 2021
A Deep Gravity model for mobility flows generationFilippo Simini, Gianni Barlacchi, Massimilano Luca, et al.
EPJ Data Science|January 26, 2022
Understanding peace through the world newsVasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti, et al.
EPJ Data Science|December 19, 2022
Generating mobility networks with generative adversarial networksGiovanni Mauro, Massimiliano Luca, Antonio Longa, et al.
Sensors (Basel, Switzerland)|December 23, 2022
Extended Energy-Expenditure Model in Soccer: Evaluating Player Performance in the Context of the GameArian Skoki, Alessio Rossi, Paolo Cintia, et al.
EPJ Data Science|June 7, 2021
Evaluation of home detection algorithms on mobile phone data using individual-level ground truthLuca Pappalardo, Leo Ferres, Manuel Sacasa, et al.
Pageof 2