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Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave
Jessica T. Davis, Matteo Chinazzi, Nicola Perra, Kunpeng Mu, Ana Pastore Y Piontti, Marco Ajelli, Natalie E. Dean, Corrado Gioannini, Maria Litvinova, Stefano Merler, Luca Rossi, Kaiyuan Sun, Xinyue Xiong, Ira M. Longini Jr, M. Elizabeth Halloran, Cécile Viboud, Alessandro Vespignani
Nature600, 127–132 (2021)
Developmental effects of oxytocin neurons on social affiliation and processing of social information
Ana Rita Nunes, Michael Gliksberg, Susana A. M. Varela, Magda C. Teles, Einav Wircer, Janna Blechman, Giovanni Petri, Gil Levkowitz, Rui F. Oliveira
JNeurosci (The Journal of Neuroscience)41(42), 8742-8760 (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 Computational Biology17(10), e1009326 (2021)
The physics of higher-order interactions in complex systems
Federico Battiston, Enrico Amico, Alain Barrat, Ginestra Bianconi, Guilherme Ferraz de Arruda, Benedetta Franceschiello, Iacopo Iacopini, Sonia Kéfi, Vito Latora, Yamir Moreno, Micah M. Murray, Tiago De Paula Peixoto, Francesco Vaccarino, Giovanni Petri
Nature Physics17, 1093–1098 (2021)
Layer-wise relevance propagation for backbone identification in discrete fracture networks
Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino
Journal of Computational Science55, 101458 (2021)
Temporal teleportation with pseudo-density operators: How dynamics emerges from temporal entanglement
Chiara Marletto, Vlatko Vedral, Salvatore Virzì, Alessio Avella, Fabrizio Piacentini, Marco Gramegna, Ivo Pietro Degiovanni, Marco Genovese
Science Advances7, 38, (2021)
The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout
Nicolò Gozzi, Paolo Bajardi, Nicola Perra
PLoS Computational Biology17(9), e1009346 (2021)
Smurf-Based Anti-money Laundering in Time-Evolving Transaction Networks
Michele Starnini, Charalampos E. Tsourakakis, Maryam Zamanipour, André Panisson, Walter Allasia, Marco Fornasiero, Laura Li Puma, Valeria Ricci, Silvia Ronchiadin, Angela Ugrinoska, Marco Varetto, Dario Moncalvo
ECML PKDD 2021: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track 171-186 (2021)
Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company
Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti, Stefano Pignataro, Silvia Ronchiadin
ECML PKDD 2021: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track 237-252 (2021)
Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi
Laura Ozella, Daniela Paolotti, Guilherme Lichand, Jorge P. Rodríguez, Simon Haenni, John Phuka, Onicio Leal Neto, Ciro Cattuto
EPJ Data Science10, 46 (2021)
Finding densest k-connected subgraphs
Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis
Discrete Applied Mathematics305, 34-47 (2021)
Spatial and temporal variation in proximity networks of commercial dairy cattle in Great Britain
Helen R. Fielding, Matthew J. Silk, Trevelyan J. McKinley, Richard J. Delahay, Jared K. Wilson-Aggarwal, Laetitia Gauvin, Laura Ozella, Ciro Cattuto, Robbie A. McDonald
Preventive Veterinary Medicine194, 105443 (2021)
Evolutionary games on simplicial complexes
Hao Guo, Danyang Jia, Irene Sendiña-Nadal, Mi Zhang, Zhen Wang, Xuelong Li, Karin Alfaro-Bittner, Yamir Moreno, Stefano Boccaletti
Chaos, Solitons & Fractals150, 111103 (2021)
Triangle-aware Spectral Sparsifiers and Community Detection
Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 1501–1509 (2021)
Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints
David García-Soriano, Francesco Bonchi
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 436–446 (2021)
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)