"How Well Do We Know Each Other?" Detecting Tie Strength in Multidimensional Social Networks. - Luca Pappalardo; Giulio Rossetti; Dino Pedreschi (ASONAM, 2012)

A Complexity Science Perspective on Human Mobility. - Fosca Giannotti; Luca Pappalardo; Dino Pedreschi; Dashun Wang (Mobility Data, 2013)

Mobility and Geo-Social Networks. - Laura Spinsanti; Michele Berlingerio; Luca Pappalardo (Mobility Data, 2013)

"Engine Matters": A First Large Scale Data Driven Study on Cyclists' Performance. - Paolo Cintia; Luca Pappalardo; Dino Pedreschi (ICDM Workshops, 2013)

Measuring tie strength in multidimensional networks. - Luca Pappalardo; Giulio Rossetti; Dino Pedreschi (SEBD, 2013)

Validating general human mobility patterns on massive GPS data. - Luca Pappalardo; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (SEBD, 2013)

The Three Dimensions of Social Prominence. - Diego Pennacchioli; Giulio Rossetti; Luca Pappalardo; Dino Pedreschi; Fosca Giannotti; Michele Coscia (SocInfo, 2013)

The purpose of motion: Learning activities from Individual Mobility Networks. - Salvatore Rinzivillo; Lorenzo Gabrielli; Mirco Nanni; Luca Pappalardo; Dino Pedreschi; Fosca Giannotti (DSAA, 2014)

Mining efficient training patterns of non-professional cyclists. - Paolo Cintia; Luca Pappalardo; Dino Pedreschi (SEBD, 2014)

The patterns of musical influence on the Last.Fm social network. - Diego Pennacchioli; Giulio Rossetti; Luca Pappalardo; Dino Pedreschi; Fosca Giannotti; Michele Coscia (SEBD, 2014)

Human Mobility, Social Networks and Economic Development: a Data Science perspective. - Luca Pappalardo (2014)

Community-centric analysis of user engagement in Skype social network. - Giulio Rossetti; Luca Pappalardo; Riivo Kikas; Dino Pedreschi; Fosca Giannotti; Marlon Dumas (ASONAM, 2015)

Using big data to study the link between human mobility and socio-economic development. - Luca Pappalardo; Dino Pedreschi; Zbigniew Smoreda; Fosca Giannotti (IEEE BigData, 2015)

The harsh rule of the goals: Data-driven performance indicators for football teams. - Paolo Cintia; Fosca Giannotti; Luca Pappalardo; Dino Pedreschi; Marco Malvaldi (DSAA, 2015)

Network-based Measures for Predicting the Outcomes of Football Games. - Paolo Cintia; Salvatore Rinzivillo; Luca Pappalardo (MLSA@PKDD/ECML, 2015)

Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model. - Luca Pappalardo; Salvatore Rinzivillo; Filippo Simini (ANT/SEIT, 2016)

The Haka network: Evaluating rugby team performance with dynamic graph analysis. - Paolo Cintia; Michele Coscia; Luca Pappalardo (ASONAM, 2016)

A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth. - Giulio Rossetti; Luca Pappalardo; Salvatore Rinzivillo (CompleNet, 2016)

The Origin of Heterogeneity in Human Mobility Ranges. - Luca Pappalardo (EDBT/ICDT Workshops, 2016)

Modelling individual routines and spatio-temporal trajectories in human mobility. - Luca Pappalardo; Filippo Simini (CoRR, 2016)

An analytical framework to nowcast well-being using mobile phone data. - Luca Pappalardo; Maarten Vanhoof; Lorenzo Gabrielli; Zbigniew Smoreda; Dino Pedreschi; Fosca Giannotti (Int. J. Data Sci. Anal., 2016)

Homophilic network decomposition: a community-centric analysis of online social services. - Giulio Rossetti; Luca Pappalardo; Riivo Kikas; Dino Pedreschi; Fosca Giannotti; Marlon Dumas (Soc. Netw. Anal. Min., 2016)

Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences. - Riccardo Guidotti; Giulio Rossetti; Luca Pappalardo; Fosca Giannotti; Dino Pedreschi (ICDM, 2017)

Assessing Privacy Risk in Retail Data. - Roberto Pellungrini; Francesca Pratesi; Luca Pappalardo (PAP@PKDD/ECML, 2017)

Who Is Going to Get Hurt? Predicting Injuries in Professional Soccer. - Alessio Rossi; Luca Pappalardo; Paolo Cintia; Javier Fernández 006; Marcello Fedon Iaia; Daniel Medina (MLSA@PKDD/ECML, 2017)

Fast Estimation of Privacy Risk in Human Mobility Data. - Roberto Pellungrini; Luca Pappalardo; Francesca Pratesi; Anna Monreale (SAFECOMP Workshops, 2017)

Next Basket Prediction using Recurring Sequential Patterns. - Riccardo Guidotti; Giulio Rossetti; Luca Pappalardo; Fosca Giannotti; Dino Pedreschi (CoRR, 2017)

Human Perception of Performance. - Luca Pappalardo; Paolo Cintia; Dino Pedreschi; Fosca Giannotti; Albert-László Barabási (CoRR, 2017)

Tiles: an online algorithm for community discovery in dynamic social networks. - Giulio Rossetti; Luca Pappalardo; Dino Pedreschi; Fosca Giannotti (Mach. Learn., 2017)

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. - Giuseppe Amato 001; Leonardo Candela; Donatella Castelli; Andrea Esuli; Fabrizio Falchi; Claudio Gennaro; Fosca Giannotti; Anna Monreale; Mirco Nanni; Pasquale Pagano; Luca Pappalardo; Dino Pedreschi; et al. (A Comprehensive Guide Through the Italian Database Research, 2018)

Weak Nodes Detection in Urban Transport Systems: Planning for Resilience in Singapore. - Michele Ferretti; Gianni Barlacchi; Luca Pappalardo; Lorenzo Lucchini; Bruno Lepri (DSAA, 2018)

Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis. - Michela Natilli; Anna Monreale; Riccardo Guidotti; Luca Pappalardo (MIDAS/PAP@PKDD/ECML, 2018)

Analyzing Privacy Risk in Human Mobility Data. - Roberto Pellungrini; Luca Pappalardo; Francesca Pratesi; Anna Monreale (STAF Workshops, 2018)

Editorial. - Roberta Sinatra; Renaud Lambiotte; Luca Pappalardo; Paolo Cintia (Adv. Complex Syst., 2018)

Prediction of next career moves from scientific profiles. - Charlotte James; Luca Pappalardo; Alina Sîrbu; Filippo Simini (CoRR, 2018)

PlayeRank: Multi-dimensional and role-aware rating of soccer player performance. - Luca Pappalardo; Paolo Cintia; Paolo Ferragina; Emanuele Massucco; Dino Pedreschi; Fosca Giannotti (CoRR, 2018)

Open the Black Box Data-Driven Explanation of Black Box Decision Systems. - Dino Pedreschi; Fosca Giannotti; Riccardo Guidotti; Anna Monreale; Luca Pappalardo; Salvatore Ruggieri; Franco Turini (CoRR, 2018)

Data-driven generation of spatio-temporal routines in human mobility. - Luca Pappalardo; Filippo Simini (Data Min. Knowl. Discov., 2018)

A Data Mining Approach to Assess Privacy Risk in Human Mobility Data. - Roberto Pellungrini; Luca Pappalardo; Francesca Pratesi; Anna Monreale (ACM Trans. Intell. Syst. Technol., 2018)

Human Mobility from theory to practice: Data, Models and Applications. - Luca Pappalardo; Gianni Barlacchi; Roberto Pellungrini; Filippo Simini (WWW (Companion Volume), 2019)

PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach. - Luca Pappalardo; Paolo Cintia; Paolo Ferragina; Emanuele Massucco; Dino Pedreschi; Fosca Giannotti (ACM Trans. Intell. Syst. Technol., 2019)

Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences. - Riccardo Guidotti; Giulio Rossetti; Luca Pappalardo; Fosca Giannotti; Dino Pedreschi (IEEE Trans. Knowl. Data Eng., 2019)

Estimating countries' peace index through the lens of the world news as monitored by GDELT. - Vasiliki Voukelatou; Luca Pappalardo; Ioanna Miliou; Lorenzo Gabrielli; Fosca Giannotti (DSAA, 2020)

Automatic Pass Annotation from Soccer Video Streams Based on Object Detection and LSTM. - Danilo Sorano; Fabio Carrara; Paolo Cintia; Fabrizio Falchi; Luca Pappalardo (ECML/PKDD (5), 2020)

Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown. - Pietro Bonato; Paolo Cintia; Francesco Fabbri; Daniele Fadda; Fosca Giannotti; Pier Luigi Lopalco; Sara Mazzilli; Mirco Nanni; Luca Pappalardo; Dino Pedreschi; Francesco Penone; Salvatore Rinzivillo; et al. (CoRR, 2020)

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. - Paolo Cintia; Daniele Fadda; Fosca Giannotti; Luca Pappalardo; Giulio Rossetti; Dino Pedreschi; Salvo Rinzivillo; Pietro Bonato; Francesco Fabbri; Francesco Penone; Marcello Savarese; Daniele Checchi; et al. (CoRR, 2020)

Modelling Human Mobility considering Spatial, Temporal and Social Dimensions. - Giuliano Cornacchia; Giulio Rossetti; Luca Pappalardo (CoRR, 2020)

Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM. - Danilo Sorano; Fabio Carrara; Paolo Cintia; Fabrizio Falchi; Luca Pappalardo (CoRR, 2020)

An individual-level ground truth dataset for home location detection. - Luca Pappalardo; Leo Ferres; Manuel Sacasa; Ciro Cattuto; Loreto Bravo (CoRR, 2020)

Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information. - Filippo Simini; Gianni Barlacchi; Massimiliano Luca; Luca Pappalardo (CoRR, 2020)

Deep Learning for Human Mobility: a Survey on Data and Models. - Massimiliano Luca; Gianni Barlacchi; Bruno Lepri; Luca Pappalardo (CoRR, 2020)

STS-EPR: Modelling individual mobility considering the spatial, temporal, and social dimensions together. - Giuliano Cornacchia; Luca Pappalardo (ANT/EDI40, 2021)

An interactive dashboard for searching and comparing soccer performance scores. - Paolo Cintia; Giovanni Mauro; Luca Pappalardo; Paolo Ferragina (CoRR, 2021)

Understanding peacefulness through the world news. - Vasiliki Voukelatou; Ioanna Miliou; Fosca Giannotti; Luca Pappalardo (CoRR, 2021)

Coach2vec: autoencoding the playing style of soccer coaches. - Paolo Cintia; Luca Pappalardo (CoRR, 2021)

Improving vehicles' emissions reduction policies by targeting gross polluters. - Matteo Böhm; Mirco Nanni; Luca Pappalardo (CoRR, 2021)

Living in a pandemic: adaptation of individual mobility and social activity in the US. - Lorenzo Lucchini; Simone Centellegher; Luca Pappalardo; Riccardo Gallotti; Filippo Privitera; Bruno Lepri; Marco De Nadai (CoRR, 2021)

Evaluation of home detection algorithms on mobile phone data using individual-level ground truth. - Luca Pappalardo; Leo Ferres; Manuel Sacasa; Ciro Cattuto; Loreto Bravo (EPJ Data Sci., 2021)

(So) Big Data and the transformation of the city. - Gennady L. Andrienko; Natalia V. Andrienko; Chiara Boldrini; Guido Caldarelli; Paolo Cintia; Stefano Cresci; Angelo Facchini; Fosca Giannotti; Aristides Gionis; Riccardo Guidotti; Michael Mathioudakis; Cristina Ioana Muntean; et al. (Int. J. Data Sci. Anal., 2021)

Introduction to the special issue on social mining and big data ecosystem for open, responsible data science. - Luca Pappalardo; Valerio Grossi; Dino Pedreschi (Int. J. Data Sci. Anal., 2021)

Human migration: the big data perspective. - Alina Sîrbu; Gennady L. Andrienko; Natalia V. Andrienko; Chiara Boldrini; Marco Conti; Fosca Giannotti; Riccardo Guidotti; Simone Bertoli; Jisu Kim; Cristina Ioana Muntean; Luca Pappalardo; Andrea Passarella; et al. (Int. J. Data Sci. Anal., 2021)

Correction to: Human migration: the big data perspective. - Alina Sîrbu; Gennady L. Andrienko; Natalia V. Andrienko; Chiara Boldrini; Marco Conti; Fosca Giannotti; Riccardo Guidotti; Simone Bertoli; Jisu Kim; Cristina Ioana Muntean; Luca Pappalardo; Andrea Passarella; et al. (Int. J. Data Sci. Anal., 2021)

Measuring objective and subjective well-being: dimensions and data sources. - Vasiliki Voukelatou; Lorenzo Gabrielli; Ioanna Miliou; Stefano Cresci; Rajesh Sharma; Maurizio Tesconi; Luca Pappalardo (Int. J. Data Sci. Anal., 2021)

A Mechanistic Data-Driven Approach to Synthesize Human Mobility Considering the Spatial, Temporal, and Social Dimensions Together. - Giuliano Cornacchia; Luca Pappalardo (ISPRS Int. J. Geo Inf., 2021)

How routing strategies impact urban emissions. - Giuliano Cornacchia; Matteo Böhm; Giovanni Mauro; Mirco Nanni; Dino Pedreschi; Luca Pappalardo (SIGSPATIAL/GIS, 2022)

Connected vehicle simulation framework for parking occupancy prediction (demo paper). - Pierpaolo Resce; Lukas Vorwerk; Zhiwei Han; Giuliano Cornacchia; Omid Isfahani Alamdari; Mirco Nanni; Luca Pappalardo; Daniel Weimer; Yuanting Liu (SIGSPATIAL/GIS, 2022)

Enhancing Crowd Flow Prediction in Various Spatial and Temporal Granularities. - Marco Cardia; Massimiliano Luca; Luca Pappalardo (WWW (Companion Volume), 2022)

Generating Synthetic Mobility Networks with Generative Adversarial Networks. - Giovanni Mauro; Massimiliano Luca; Antonio Longa; Bruno Lepri; Luca Pappalardo (CoRR, 2022)

Generating mobility networks with generative adversarial networks. - Giovanni Mauro; Massimiliano Luca; Antonio Longa; Bruno Lepri; Luca Pappalardo (EPJ Data Sci., 2022)

Understanding peace through the world news. - Vasiliki Voukelatou; Ioanna Miliou; Fosca Giannotti; Luca Pappalardo (EPJ Data Sci., 2022)

scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data. - Luca Pappalardo; Filippo Simini; Gianni Barlacchi; Roberto Pellungrini (J. Stat. Softw., 2022)

Extended Energy-Expenditure Model in Soccer: Evaluating Player Performance in the Context of the Game. - Arian Skoki; Alessio Rossi; Paolo Cintia; Luca Pappalardo; Ivan Stajduhar (Sensors, 2022)

Modeling Adversarial Behavior Against Mobility Data Privacy. - Roberto Pellungrini; Luca Pappalardo; Filippo Simini; Anna Monreale (IEEE Trans. Intell. Transp. Syst., 2022)

One-Shot Traffic Assignment with Forward-Looking Penalization. - Giuliano Cornacchia; Mirco Nanni; Luca Pappalardo (SIGSPATIAL/GIS, 2023)

Trustworthy AI at KDD Lab. - Fosca Giannotti; Riccardo Guidotti; Anna Monreale; Luca Pappalardo; Dino Pedreschi; Roberto Pellungrini; Francesca Pratesi; Salvatore Rinzivillo; Salvatore Ruggieri; Mattia Setzu; Rosaria Deluca (Ital-IA, 2023)

Human mobility, AI assistants, and urban emissions: an insidious triangle. - Luca Pappalardo; Matteo Böhm; Giuliano Cornacchia; Giovanni Mauro; Dino Pedreschi; Mirco Nanni (Ital-IA, 2023)

Effects of Route Randomization on Urban Emissions. - Giuliano Cornacchia; Mirco Nanni; Dino Pedreschi; Luca Pappalardo (SUMO, 2023)

Social AI and the Challenges of the Human-AI Ecosystem. - Dino Pedreschi; Luca Pappalardo; Ricardo Baeza-Yates; Albert-László Barabási; Frank Dignum; Virginia Dignum; Tina Eliassi-Rad; Fosca Giannotti; János Kertész; Alistair Knott; Yannis E. Ioannidis; Paul Lukowicz; et al. (CoRR, 2023)

A Survey on Deep Learning for Human Mobility. - Massimiliano Luca; Gianni Barlacchi; Bruno Lepri; Luca Pappalardo (ACM Comput. Surv., 2023)

Future directions in human mobility science. - Luca Pappalardo; Ed Manley; Vedran Sekara; Laura Alessandretti (Nat. Comput. Sci., 2023)

Trajectory test-train overlap in next-location prediction datasets. - Massimiliano Luca; Luca Pappalardo; Bruno Lepri; Gianni Barlacchi (Mach. Learn., 2023)

What Tugs at Your Heartstrings? Exploring Flow, and Affect Recognition Through HRV, While Video Gaming. - Elena Sajno; Alessio Rossi; Andrea Beretta; Nicole Novielli; Luca Pappalardo; Giuseppe Riva 001 (ACII (Workshops and Demos), 2024)

Explaining Urban Vehicle Emissions in Rome. - Matteo Böhm; Patricio Reyes; Mirco Nanni; Luca Pappalardo (DS (2), 2024)

Measuring the Impact of Road Removal on Vehicular CO2 Emissions. - Simone Baccile; Giuliano Cornacchia; Luca Pappalardo (EDBT/ICDT Workshops, 2024)

The Role of Relocation Policies in Urban Segregation Dynamics. - Giovanni Mauro; Luca Pappalardo (EDBT/ICDT Workshops, 2024)

Alternative Routing based on Road Popularity. - Giuliano Cornacchia; Ludovico Lemma; Luca Pappalardo (SuMob@SIGSPATIAL, 2024)

Mixing Individual and Collective Behaviours to Predict Out-of-Routine Mobility. - Sebastiano Bontorin; Simone Centellegher; Riccardo Gallotti; Luca Pappalardo; Bruno Lepri; Massimiliano Luca (CoRR, 2024)

Popularity-based Alternative Routing. - Giuliano Cornacchia; Ludovico Lemma; Luca Pappalardo (CoRR, 2024)

A survey on the impact of AI-based recommenders on human behaviours: methodologies, outcomes and future directions. - Luca Pappalardo; Emanuele Ferragina; Salvatore Citraro; Giuliano Cornacchia; Mirco Nanni; Giulio Rossetti; Gizem Gezici; Fosca Giannotti; Margherita Lalli; Daniele Gambetta; Giovanni Mauro; Virginia Morini; et al. (CoRR, 2024)

Navigation services amplify concentration of traffic and emissions in our cities. - Giuliano Cornacchia; Mirco Nanni; Dino Pedreschi; Luca Pappalardo (CoRR, 2024)

Geospatial Road Cycling Race Results Data Set. - Bram Janssens; Luca Pappalardo; Jelle De Bock; Matthias Bogaert; Steven Verstockt (CoRR, 2024)

A linguistic analysis of undesirable outcomes in the era of generative AI. - Daniele Gambetta; Gizem Gezici; Fosca Giannotti; Dino Pedreschi; Alistair Knott; Luca Pappalardo (CoRR, 2024)

Human-AI coevolution. - Dino Pedreschi; Luca Pappalardo; Emanuele Ferragina; Ricardo Baeza-Yates; Albert-László Barabási; Frank Dignum; Virginia Dignum; Tina Eliassi-Rad; Fosca Giannotti; János Kertész; Alistair Knott; Yannis E. Ioannidis; et al. (Artif. Intell., 2025)

Characterizing User Behavior: The Interplay Between Mobility Patterns and Mobile Traffic. - Anne Josiane Kouam; Aline Carneiro Viana; Mariano G. Beiró; Leo Ferres; Luca Pappalardo (CoRR, 2025)

The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendation. - Giovanni Mauro; Marco Minici; Luca Pappalardo (CoRR, 2025)