Publications Archive
Filter By Category
Filter By Authors
Filter By SubcategoryFilter By Year
MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling
Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 1348–1358 (2021)
Counterfactual Graphs for Explainable Classification of Brain Networks
Francesco Bonchi, Carlo Abrate
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 2495–2504 (2021)
Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods
Laetitia Gauvin, Paolo Bajardi, Emanuele Pepe, Brennan Lake, Filippo Privitera, Michele Tizzoni
Journal of the Royal Society Interface18, 20210092 (2021)
Linear and Nonlinear Quantitative EEG Analysis during Neutral Hypnosis following an Opened/Closed Eye Paradigm
Gianluca Rho, Alejandro Luis Callara, Giovanni Petri, Mimma Nardelli, Enzo Pasquale Scilingo, Alberto Greco, Vilfredo De Pascalis
Simmetry13(8), 1423 (2021)
Representing Behavior, Consciousness, Learning: Will a Purely Classical Artificial Intelligence Be Enough?
Mario Rasetti
Multiplicity and Interdisciplinarity 135-157 (2021)
Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market
David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi
AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society 978–988 (2021)
Forecast of Distributed Energy Generation and Consumption in a Partially Observable Electrical Grid: A Machine Learning Approach
Elvio Amparore, Federico Cinus, Cristiano Maestri, Leonardo Petrocchi, Dario Polinelli, Fabio Scarpa, Alan Perotti, André Panisson, Paolo Bajardi
2021 IEEE Madrid PowerTech (2021)
DeepWalking Backwards: From Embeddings Back to Graphs
Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
Proceedings of the 38th International Conference on Machine Learning139, 1473-1483 (2021)
Self-initiated behavioral change and disease resurgence on activity-driven networks
Nicolò Gozzi, Martina Scudeler, Daniela Paolotti, Andrea Baronchelli, Nicola Perra
Physical Review E104, 014307 (2021)
Early social distancing policies in Europe, changes in mobility & COVID-19 case trajectories: Insights from Spring 2020
Liana R. Woskie, Jonathan Hennessy, Valeria Espinosa, Thomas C. Tsai, Swapnil Vispute, Benjamin H. Jacobson, Ciro Cattuto, Laetitia Gauvin, Michele Tizzoni, Alex Fabrikant, Krishna Gadepalli, Adam Boulanger, Adam Pearce, Chaitanya Kamath, Arran Schlosberg, Charlotte Stanton, Shailesh Bavadekar, Matthew Abueg, Michael Hogue, Andrew Oplinger, Katherine Chou, Greg Corrado, Tomer Shekel, Ashish K. Jha, Gregory A. Wellenius, Evgeniy Gabrilovich
PLoS ONE16(6), e0253071 (2021)
Developing Real Estate Automated Valuation Models by Learning from Heterogeneous Data Sources
Francesco Bergadano, Roberto Bertilone, Daniela Paolotti, Giancarlo Ruffo
International Journal of Real Estate Studies (INTREST)15(1), 72–85 (2021)
Modelling Moral Traits with Music Listening Preferences and Demographics
Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
Proceedings of the 15th International Symposium on CMMR 183–194 (2021)
FairLens: Auditing black-box clinical decision support systems
Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi
Information Processing & Management58 (5), 102657 (2021)
YouTubing at Home: Media Sharing Behavior Change as Proxy for Mobility Around COVID-19 Lockdowns
Yelena Mejova, Nicolas Kourtellis
WebSci '21: 13th ACM Web Science Conference 2021 272–281 (2021)
Hypergraph reconstruction from network data
Jean-Gabriel Young, Giovanni Petri, Tiago De Paula Peixoto
Communications Physics4, 135 (2021)
Polarization inhibits the phase transition of Axelrod’s model
Carlos Gracia-Lázaro, Edgardo Brigatti, Alexis R. Hernández, Yamir Moreno
Physical Review E103, 062306 (2021)
Cyber Social Threats 2021: AI, Covid-19 Vaccine, Detection and Countering Strategies
Ugur Kursuncu, Jeremy Blackburn, Yelena Mejova, Megan Squire, Amit Sheth
Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media (2021)
Evaluation of home detection algorithms on mobile phone data using individual-level ground truth
Luca Pappalardo, Leonardo Adrian Ferres, Manuel Sacasa, Ciro Cattuto, Loreto Bravo
EPJ Data Science10, 29 (2021)
A local-realistic model for quantum theory
Paul Raymond-Robichaud
Proceedings of the Royal Society A477, 20200897 (2021)
The universal visitation law of human mobility
Markus Schläpfer, Kevin O’Keeffe, Paolo Santi, Michael Szell, Hadrien Salat, Samuel Anklesaria, Mohammad Vazifeh, Carlo Ratti, Geoffrey B. West
Nature593, 522–527 (2021)
Multilayer Graph Association Rules for Link Prediction
Michele Coscia, Michael Szell
Proceedings of the International AAAI Conference on Web and Social Media (ICWSM 2021)15(1), 129-139 (2021)
Risk factors associated with the incidence of self-reported COVID-19-like illness: data from a web-based syndromic surveillance system in the Netherlands
Scott A. McDonald, Cees C. van den Wijngaard, Cornelia C. H. Wielders, Ingrid H. M. Friesema, Loes Soetens, Daniela Paolotti, Susan van den Hof, Albert Jan van Hoek
Epidemiology & Infection149, e129, 1-7 (2021)
The Role of Local Content in Wikipedia: A Study on Reader and Editor Engagement
Marc Miquel-Ribé, David Laniado, Andreas Kaltenbrunner
Área Abierta21(2), 123-151 (2021)
Prediction of new scientific collaborations through multiplex networks
Marta Tuninetti, Alberto Aleta, Daniela Paolotti, Yamir Moreno, Michele Starnini
EPJ Data Science10, 25 (2021)