Zeitschriftenartikel (123)
2022
Zeitschriftenartikel
Obradovich, N. (2022). Rising temperatures erode human sleep globally. One Earth, 5(5), 534–549. https://doi.org/10.1016/j.oneear.2022.04.008
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Müller, T. F., , & (2022). Cultural evolution of precise and agreed-upon semantic conventions in a multiplayer gaming app. Cognitive Science, 46(2), Article e13113. https://doi.org/10.1111/cogs.13113
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Nussberger, A.-M., , , & (2022). Public attitudes value interpretability but prioritize accuracy in artificial intelligence. Nature Communications, 13, Article 5821. https://doi.org/10.1038/s41467-022-33417-3
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Obradovich, N., , , , , Cebrián, M., , , Rahwan, I., & (2022). Expanding the measurement of culture with a sample of two billion humans. Journal of the Royal Society Interface, 19(190), Article 20220085. https://doi.org/10.1098/rsif.2022.0085
Zeitschriftenartikel
Pescetelli, N., Barkoczi, D., & Cebrian, M. (2022). Bots influence opinion dynamics without direct human-bot interaction: The mediating role of recommender systems. Applied Network Science, 7, Article 46. https://doi.org/10.1007/s41109-022-00488-6
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Pescetelli, N., , & Rutherford, A. (2022). A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teams. PLoS ONE, 17(8), Article e0272168. https://doi.org/10.1371/journal.pone.0272168
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Obradovich, N., , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2022). The 2022 report of the Lancet Countdown on health and climate change: Health at the mercy of fossil fuels. The Lancet, 400(10363), 1619–1654. https://doi.org/10.1016/S0140-6736(22)01540-9
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Obradovich, N. (2022). Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning. Artificial Intelligence, 305, Article 103682. https://doi.org/10.1016/j.artint.2022.103682
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Obradovich, N., , & (2022). Global evidence of expressed sentiment alterations during the COVID-19 pandemic. Nature Human Behaviour, 6, 349–358. https://doi.org/10.1038/s41562-022-01312-y
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Cebrian, M., & (2022). Trading contact tracing efficiency for finding patient zero. Scientific Reports, 12, Article 22582. https://doi.org/10.1038/s41598-022-26892-7
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Cebrian, M., , , , & Rahwan, I. (2021). Superintelligence cannot be contained: Lessons from computability theory. Journal of Artificial Intelligence Research, 70, 65–76. https://doi.org/10.1613/jair.1.12202
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Avraam, D., Obradovich, N., Pescetelli, N., Cebrian, M., & Rutherford, A. (2021). The network limits of infectious disease control via occupation-based targeting. Scientific Reports, 11, Article 22855. https://doi.org/10.1038/s41598-021-02226-x
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Bassett, J., , , , & (2021). Individual-based model for the control of Bovine Viral Diarrhea spread in livestock trade networks. Journal of Theoretical Biology, 527, Article 110820. https://doi.org/10.1016/j.jtbi.2021.110820
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Bassett, J., Pescetelli, N., Rutherford, A., & Cebrian, M. (2021). Time-critical decentralised situational awareness in emergencies: An adversarial biosecurity scenario. Applied Network Science, 6, Article 59. https://doi.org/10.1007/s41109-021-00402-6
Zeitschriftenartikel
Cebrian, M. (2021). The past, present and future of digital contact tracing. Nature Electronics, 4, 2–4. https://doi.org/10.1038/s41928-020-00535-z
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Cebrian, M. (2021). A time-critical crowdsourced computational search for the origins of COVID-19. Nature Electronics, 4, 450–451. https://doi.org/10.1038/s41928-021-00619-4
Zeitschriftenartikel
Rahwan, I., & Cebrian, M. (2021). Evolution of urban forms observed from space. EPJ Data Science, 10, Article 27. https://doi.org/10.1140/epjds/s13688-021-00283-w
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Obradovich, N., , & (2021). Characterizing self-reported tobacco, vaping, and marijuana-related tweets geolocated for California college campuses. Frontiers in Public Health, 9, Article 628812. https://doi.org/10.3389/fpubh.2021.628812
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Patil, I., & (2021). Reputational and cooperative benefits of third-party compensation. Organizational Behavior and Human Decision Processes, 164, 27–51. https://doi.org/10.1016/j.obhdp.2021.01.003
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Dong, M., , & (2021). Reducing the gap between pro‐environmental disposition and behavior: The role of feeling power. Journal of Applied Social Psychology, 51(3), 262–272. https://doi.org/10.1111/jasp.12733