5.8k citations · 41.4k across the 111 of their papers we have counts for
112 papers
Human-AI Coevolution
Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina +14
Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artif…
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting
Dongxia Wu, Liyao Gao, Xinyue Xiong +4
We introduce DeepGLEAM, a hybrid model for COVID-19 forecasting. DeepGLEAM combines a mechanistic stochastic simulation model GLEAM with deep learning. It uses deep learning to lea…
Predicting seasonal influenza using supermarket retail records
Ioanna Miliou, Xinyue Xiong, Salvatore Rinzivillo +5
Increased availability of epidemiological data, novel digital data streams, and the rise of powerful machine learning approaches have generated a surge of research activity on real…
Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
Chintan Shah, Nima Dehmamy, Nicola Perra +4
Locating the source of an epidemic, or patient zero (P0), can provide critical insights into the infection's transmission course and allow efficient resource allocation. Existing m…
Link transmission centrality in large-scale social networks
Qian Zhang, Márton Karsai, Alessandro Vespignani
Understanding the importance of links in transmitting information in a network can provide ways to hinder or postpone ongoing dynamical phenomena like the spreading of epidemic or…
Resilience management during large-scale epidemic outbreaks
Emanuele Massaro, Alexander Ganin, Nicola Perra +2
Assessing and managing the impact of large-scale epidemics considering only the individual risk and severity of the disease is exceedingly difficult and could be extremely expensiv…