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BMC Infectious Diseases|March 15, 2022
On the accuracy of short-term COVID-19 fatality forecastsNino Antulov-Fantulin, Lucas Böttcher
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 22, 2021
On some fundamental challenges in monitoring epidemicsVaiva Vasiliauskaite, Nino Antulov-Fantulin, Dirk Helbing
Chaos (Woodbury, N.Y.)|April 30, 2022
Information dynamics of price and liquidity around the 2017 Bitcoin markets crashVaiva Vasiliauskaite, Fabrizio Lillo, Nino Antulov-Fantulin
Nature Communications|January 18, 2022
AI Pontryagin or how artificial neural networks learn to control dynamical systemsLucas Böttcher, Nino Antulov-Fantulin, Thomas Asikis
Scientific Reports|April 28, 2018
Simulating SIR processes on networks using weighted shortest pathsDijana Tolić, Kaj-Kolja Kleineberg, Nino Antulov-Fantulin
Proceedings of the National Academy of Sciences of the United States of America|March 17, 2019
Generalized network dismantlingXiao-Long Ren, Niels Gleinig, Dirk Helbing, et al.
Physical Review Letters|July 22, 2015
Identification of Patient Zero in Static and Temporal Networks: Robustness and LimitationsNino Antulov-Fantulin, Alen Lančić, Tomislav Šmuc, et al.
Royal Society Open Science|August 5, 2021
On the impact of publicly available news and information transfer to financial marketsMetod Jazbec, Barna Pàsztor, Felix Faltings, et al.
Scientific Reports|May 23, 2014
Cohesiveness in financial news and its relation to market volatilityMatija Piškorec, Nino Antulov-Fantulin, Petra Kralj Novak, et al.
BMJ Global Health|July 24, 2021
Building a multisystemic understanding of societal resilience to the COVID-19 pandemicDidier Wernli, Mia Clausin, Nino Antulov-Fantulin, et al.
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