PAPPALARDO, LUCA
PAPPALARDO, LUCA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Human-AI coevolution
2024 Pedreschi, D.; Pappalardo, L.; Ferragina, E.; Baeza-Yates, R.; Barabási, A-L.; Dignum, F.; Dignum, V.; Eliassi-Rad, T.; Giannotti, F.; Kertész, J.; Knott, A.; Ioannidis, Y.; Lukowicz, P.; Passarella, A.; Pentland, A. S.; Shawe-Taylor, J.; Vespignani, A.
A dataset to assess mobility changes in Chile following local quarantines
2023 Pappalardo L.; Cornacchia G.; Navarro V.; Bravo L.; Ferres L.
A survey on deep learning for human mobility
2023 Luca, M; Barlacchi, G; Lepri, B; Pappalardo, L
Future directions in human mobility science
2023 Pappalardo, L; Manley, E; Sekara, V; Alessandretti, L
Mobility constraints in segregation models
2023 Gambetta, D; Mauro, G; Pappalardo, L
Navigation services and urban sustainability
2023 Cornacchia, G; Nanni, M; Pedreschi, D; Pappalardo, L
Trajectory test-train overlap in next-location prediction datasets
2023 Luca, M; Pappalardo, L; Lepri, B; Barlacchi, G
Blood sample profile helps to injury forecasting in elite soccer players
2022 Rossi A.; Pappalardo L.; Filetti C.; Cintia P.
Extended energy-expenditure model in soccer: evaluating player performance in the context of the game
2022 Skoki, A; Rossi, A; Cintia, P; Pappalardo, L; Stajduhar, I
Generating mobility networks with generative adversarial networks
2022 Mauro, G; Luca, M; Longa, A; Lepri, B; Pappalardo, L
Gross polluters and vehicle emissions reduction
2022 Bohm, M; Nanni, M; Pappalardo, L
Scikit-mobility: a python library for the analysis, generation, and risk assessment of mobility data
2022 Pappalardo, L; Simini, F; Barlacchi, G; Pellungrini, R
Understanding peace through the world news
2022 Voukelatou, V; Miliou, I; Giannotti, F; Pappalardo, L
Wellness forecasting by external and internal workloads in elite soccer players: a machine learning approach
2022 Rossi, A; Perri, E; Pappalardo, L; Cintia, P; Alberti, G; Norman, D; Iaia, Fm
A deep gravity model for mobility flows generation
2021 Simini F.; Barlacchi G.; Luca M.; Pappalardo L.
A mechanistic data-driven approach to synthesize human mobility considering the spatial, temporal, and social dimensions together
2021 Cornacchia, G; Pappalardo, L
A narrative review for a machine learning application in sports: an example based on injury forecasting in soccer
2021 Rossi, A; Pappalardo, L; Cintia, P
Evaluation of home detection algorithms on mobile phone data using individual-level ground truth
2021 Pappalardo L.; Ferres L.; Sacasa M.; Cattuto C.; Bravo L.
Explaining the difference between men's and women's football
2021 Pappalardo L.; Rossi A.; Natilli M.; Cintia P.
Introduction to the special issue on social mining and big data ecosystem for open, responsible data science
2021 Pappalardo L.; Grossi V.; Pedreschi D.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Human-AI coevolution | 1-gen-2024 | Pedreschi, D.; Pappalardo, L.; Ferragina, E.; Baeza-Yates, R.; Barabási, A-L.; Dignum, F.; Dignum, V.; Eliassi-Rad, T.; Giannotti, F.; Kertész, J.; Knott, A.; Ioannidis, Y.; Lukowicz, P.; Passarella, A.; Pentland, A. S.; Shawe-Taylor, J.; Vespignani, A. | |
A dataset to assess mobility changes in Chile following local quarantines | 1-gen-2023 | Pappalardo L.; Cornacchia G.; Navarro V.; Bravo L.; Ferres L. | |
A survey on deep learning for human mobility | 1-gen-2023 | Luca, M; Barlacchi, G; Lepri, B; Pappalardo, L | |
Future directions in human mobility science | 1-gen-2023 | Pappalardo, L; Manley, E; Sekara, V; Alessandretti, L | |
Mobility constraints in segregation models | 1-gen-2023 | Gambetta, D; Mauro, G; Pappalardo, L | |
Navigation services and urban sustainability | 1-gen-2023 | Cornacchia, G; Nanni, M; Pedreschi, D; Pappalardo, L | |
Trajectory test-train overlap in next-location prediction datasets | 1-gen-2023 | Luca, M; Pappalardo, L; Lepri, B; Barlacchi, G | |
Blood sample profile helps to injury forecasting in elite soccer players | 1-gen-2022 | Rossi A.; Pappalardo L.; Filetti C.; Cintia P. | |
Extended energy-expenditure model in soccer: evaluating player performance in the context of the game | 1-gen-2022 | Skoki, A; Rossi, A; Cintia, P; Pappalardo, L; Stajduhar, I | |
Generating mobility networks with generative adversarial networks | 1-gen-2022 | Mauro, G; Luca, M; Longa, A; Lepri, B; Pappalardo, L | |
Gross polluters and vehicle emissions reduction | 1-gen-2022 | Bohm, M; Nanni, M; Pappalardo, L | |
Scikit-mobility: a python library for the analysis, generation, and risk assessment of mobility data | 1-gen-2022 | Pappalardo, L; Simini, F; Barlacchi, G; Pellungrini, R | |
Understanding peace through the world news | 1-gen-2022 | Voukelatou, V; Miliou, I; Giannotti, F; Pappalardo, L | |
Wellness forecasting by external and internal workloads in elite soccer players: a machine learning approach | 1-gen-2022 | Rossi, A; Perri, E; Pappalardo, L; Cintia, P; Alberti, G; Norman, D; Iaia, Fm | |
A deep gravity model for mobility flows generation | 1-gen-2021 | Simini F.; Barlacchi G.; Luca M.; Pappalardo L. | |
A mechanistic data-driven approach to synthesize human mobility considering the spatial, temporal, and social dimensions together | 1-gen-2021 | Cornacchia, G; Pappalardo, L | |
A narrative review for a machine learning application in sports: an example based on injury forecasting in soccer | 1-gen-2021 | Rossi, A; Pappalardo, L; Cintia, P | |
Evaluation of home detection algorithms on mobile phone data using individual-level ground truth | 1-gen-2021 | Pappalardo L.; Ferres L.; Sacasa M.; Cattuto C.; Bravo L. | |
Explaining the difference between men's and women's football | 1-gen-2021 | Pappalardo L.; Rossi A.; Natilli M.; Cintia P. | |
Introduction to the special issue on social mining and big data ecosystem for open, responsible data science | 1-gen-2021 | Pappalardo L.; Grossi V.; Pedreschi D. |