Interplay of network dynamics and ties heterogeneity on spreading dynamics. - Luca Ferreri; Paolo Bajardi; Mario Giacobini; Silvia Perazzo; Ezio Venturino (CoRR, 2014)

Pattern of Tick Aggregation on Mice: Larger Than Expected Distribution Tail Enhances the Spread of Tick-Borne Pathogens. - Luca Ferreri; Mario Giacobini; Paolo Bajardi; Luigi Bertolotti; Luca Bolzoni; Valentina Tagliapietra; Annapaola Rizzoli; Roberto Rosà (PLoS Comput. Biol., 2014)

On the Use of Human Mobility Proxies for Modeling Epidemics. - Michele Tizzoni; Paolo Bajardi; Adeline Decuyper; Guillaume Kon Kam King; Christian M. Schneider; Vincent D. Blondel; Zbigniew Smoreda; Marta C. González; Vittoria Colizza (PLoS Comput. Biol., 2014)

Unveiling patterns of international communities in a global city using mobile phone data. - Paolo Bajardi; Matteo Delfino; André Panisson; Giovanni Petri; Michele Tizzoni (EPJ Data Sci., 2015)

Non-systemic transmission of tick-borne diseases: A network approach. - Luca Ferreri; Paolo Bajardi; Mario Giacobini (Commun. Nonlinear Sci. Numer. Simul., 2016)

Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort. - Duilio Balsamo; Paolo Bajardi; André Panisson (WWW, 2019)

Topic Tomographies (TopTom): a visual approach to distill information from media streams. - Beatrice Gobbo; Duilio Balsamo; Michele Mauri; Paolo Bajardi; André Panisson; Paolo Ciuccarelli (Comput. Graph. Forum, 2019)

The evolving causal structure of equity risk factors. - Gabriele D'Acunto; Paolo Bajardi; Francesco Bonchi; Gianmarco De Francisci Morales (ICAIF, 2021)

Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions. - Duilio Balsamo; Paolo Bajardi; Alberto Salomone; Rossano Schifanella (CoRR, 2021)

FairLens: Auditing black-box clinical decision support systems. - Cecilia Panigutti; Alan Perotti; André Panisson; Paolo Bajardi; Dino Pedreschi (Inf. Process. Manag., 2021)

To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. - Elvio G. Amparore; Alan Perotti; Paolo Bajardi (PeerJ Comput. Sci., 2021)

The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout. - Nicolò Gozzi; Paolo Bajardi; Nicola Perra (PLoS Comput. Biol., 2021)

Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact. - Mattia Mazzoli; Emanuele Pepe; David Mateo; Ciro Cattuto; Laetitia Gauvin; Paolo Bajardi; Michele Tizzoni; Alberto Hernando; Sandro Meloni; José J. Ramasco (PLoS Comput. Biol., 2021)

Streamlining models with explanations in the learning loop. - Francesco Lomuscio; Paolo Bajardi; Alan Perotti; Elvio G. Amparore (DSAA, 2022)

GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers. - Alan Perotti; Paolo Bajardi; Francesco Bonchi; André Panisson (CoRR, 2022)

Multiscale Non-stationary Causal Structure Learning from Time Series Data. - Gabriele D'Acunto; Gianmarco De Francisci Morales; Paolo Bajardi; Francesco Bonchi (CoRR, 2022)

The Pursuit of Peer Support for Opioid Use Recovery on Reddit. - Duilio Balsamo; Paolo Bajardi; Gianmarco De Francisci Morales; Corrado Monti; Rossano Schifanella (ICWSM, 2023)

Explaining Identity-aware Graph Classifiers through the Language of Motifs. - Alan Perotti; Paolo Bajardi; Francesco Bonchi; André Panisson (IJCNN, 2023)

Learning Multiscale Non-stationary Causal Structures. - Gabriele D'Acunto; Gianmarco De Francisci Morales; Paolo Bajardi; Francesco Bonchi (Trans. Mach. Learn. Res., 2023)

Revealing the determinants of gender inequality in urban cycling with large-scale data. - Alice Battiston; Ludovico Napoli; Paolo Bajardi; André Panisson; Alan Perotti; Michael Szell; Rossano Schifanella (EPJ Data Sci., 2023)

Value is in the Eye of the Beholder: A Framework for an Equitable Graph Data Evaluation. - Francesco Paolo Nerini; Paolo Bajardi; André Panisson (FAccT, 2024)

Moral Judgments in Online Discourse are not Biased by Gender. - Lorenzo Betti; Paolo Bajardi; Gianmarco De Francisci Morales (CoRR, 2024)

A True-to-the-model Axiomatic Benchmark for Graph-based Explainers. - Corrado Monti; Paolo Bajardi; Francesco Bonchi; André Panisson; Alan Perotti (Trans. Mach. Learn. Res., 2024)

On the Inference of Sociodemographics on Reddit. - Federico Cinus; Corrado Monti; Paolo Bajardi; Gianmarco De Francisci Morales (CoRR, 2025)