Luca Pappalardo

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Dino PedreschiProfessor of Computer Science, University of PisaVerificeret mail på di.unipi.it
Fosca Giannottiprofessor at Scuola Normale Superiore di PisaVerificeret mail på sns.it
Paolo CintiaKode SolutionsVerificeret mail på kode-solutions.net
Salvatore RinzivilloKDDLab, ISTI, CNRVerificeret mail på isti.cnr.it
Filippo SiminiArgonne National LaboratoryVerificeret mail på anl.gov
Alessio RossiDepartment of Computer Science - University of PisaVerificeret mail på di.unipi.it
Giulio RossettiSenior Researcher @ CNR-ISTIVerificeret mail på isti.cnr.it
Mirco NanniSenior Researcher at KDD Lab, ISTI-CNR, PisaVerificeret mail på isti.cnr.it
Lorenzo GabrielliConsiglio Nazionale delle Ricerche (CNR), Joint Research Centre (JRC-European Commission)Verificeret mail på isti.cnr.it
Gianni BarlacchiSenior Machine Learning Scientist at AmazonVerificeret mail på amazon.com
Riccardo GuidottiAssociate Professor @ University of PisaVerificeret mail på unipi.it
Francesca PratesiUniversità di PisaVerificeret mail på di.unipi.it
Massimiliano LucaFondazione Bruno KesslerVerificeret mail på fbk.eu
Bruno LepriFondazione Bruno Kessler/Ipazia S.p.a.Verificeret mail på fbk.eu
Anna MonrealeUniversity of PisaVerificeret mail på di.unipi.it
Roberto PellungriniResearch Fellow at Scuola Normale Superiore, Classe di Scienze, PisaVerificeret mail på sns.it
Giuliano CornacchiaPh.D. Student in Computer Science, University of Pisa, ISTI-CNR, PisaVerificeret mail på phd.unipi.it
Albert-László BarabásiNortheastern University, Harvard Medical SchoolVerificeret mail på neu.edu
Ioanna MiliouAssistant Professor, Stockholm UniversityVerificeret mail på dsv.su.se
Paolo FerraginaProfessor of Algorithms, Dept. Computer Science, University of PisaVerificeret mail på unipi.it

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Luca Pappalardo

Senior Researcher at ISTI-CNR, Associate professor at Scuola Normale Superiore di Pisa

Verificeret mail på di.unipi.it - Startside

Human-AI Coevolution Human Mobility Computational Social Science Sports Analytics


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Returners and explorers dichotomy in human mobility L Pappalardo, F Simini, S Rinzivillo, D Pedreschi, F Giannotti, ... Nature communications 6 (1), 8166, 2015	533	2015
Measuring objective and subjective well-being: dimensions and data sources V Voukelatou, L Gabrielli, I Miliou, S Cresci, R Sharma, M Tesconi, ... International Journal of Data Science and Analytics 11, 279-309, 2021	339	2021
Effective injury forecasting in soccer with GPS training data and machine learning A Rossi, L Pappalardo, P Cintia, FM Iaia, J Fernández, D Medina PloS one 13 (7), e0201264, 2018	339	2018
A survey on deep learning for human mobility M Luca, G Barlacchi, B Lepri, L Pappalardo ACM Computing Surveys (CSUR) 55 (1), 1-44, 2021	262*	2021
PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach L Pappalardo, P Cintia, P Ferragina, E Massucco, D Pedreschi, ... ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-27, 2019	223	2019
A public data set of spatio-temporal match events in soccer competitions L Pappalardo, P Cintia, A Rossi, E Massucco, P Ferragina, D Pedreschi, ... Scientific data 6 (1), 236, 2019	211	2019
A deep gravity model for mobility flows generation F Simini, G Barlacchi, M Luca, L Pappalardo Nature communications 12 (1), 6576, 2021	175	2021
Using big data to study the link between human mobility and socio-economic development L Pappalardo, D Pedreschi, Z Smoreda, F Giannotti 2015 IEEE international conference on big data (big data), 871-878, 2015	175	2015
scikit-mobility: A Python library for the analysis, generation and risk assessment of mobility data L Pappalardo, F Simini, G Barlacchi, R Pellungrini Journal of Statistical Software 103 (4), 1-38, 2022	160	2022
An analytical framework to nowcast well-being using mobile phone data L Pappalardo, M Vanhoof, L Gabrielli, Z Smoreda, D Pedreschi, ... International Journal of Data Science and Analytics, 2016	158	2016
Data-driven generation of spatio-temporal routines in human mobility L Pappalardo, F Simini Data Mining and Knowledge Discovery, 2017	156	2017
Tiles: an online algorithm for community discovery in dynamic social networks G Rossetti, L Pappalardo, D Pedreschi, F Giannotti Machine Learning 106, 1213-1241, 2017	154	2017
Small area model-based estimators using big data sources S Marchetti, C Giusti, M Pratesi, N Salvati, F Giannotti, D Pedreschi, ... Journal of Official Statistics 31 (2), 263-281, 2015	137	2015
Understanding the patterns of car travel L Pappalardo, S Rinzivillo, Z Qu, D Pedreschi, F Giannotti The European Physical Journal Special Topics 215, 61-73, 2013	136	2013
The harsh rule of the goals: Data-driven performance indicators for football teams P Cintia, F Giannotti, L Pappalardo, D Pedreschi, M Malvaldi 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015	131	2015
Human migration: The big data perspective A Sîrbu, G Andrienko, N Andrienko, C Boldrini, M Conti, F Giannotti, ... International Journal of Data Science and Analytics 11, 341-360, 2021	124	2021
A network-based approach to evaluate the performance of football teams P Cintia, S Rinzivillo, L Pappalardo Machine learning and data mining for sports analytics workshop, Porto, Portugal, 2015	94	2015
Quantifying the relation between performance and success in soccer L Pappalardo, P Cintia Advances in Complex Systems, https://doi.org/10.1142/S021952591750014X, 2017	91	2017
Living in a pandemic: changes in mobility routines, social activity and adherence to COVID-19 protective measures L Lucchini, S Centellegher, L Pappalardo, R Gallotti, F Privitera, B Lepri, ... Scientific reports 11 (1), 24452, 2021	77	2021
The purpose of motion: Learning activities from individual mobility networks S Rinzivillo, L Gabrielli, M Nanni, L Pappalardo, D Pedreschi, F Giannotti 2014 International conference on data science and advanced analytics (DSAA …, 2014	75	2014

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