Zobrazeno 1 - 10
of 3 529
pro vyhledávání: '"Himmelstein, A."'
Autor:
Benjamin, Daniel M., Morstatter, Fred, Abbas, Ali E., Abeliuk, Andres, Atanasov, Pavel, Bennett, Stephen, Beger, Andreas, Birari, Saurabh, Budescu, David V., Catasta, Michele, Ferrara, Emilio, Haravitch, Lucas, Himmelstein, Mark, Hossain, KSM Tozammel, Huang, Yuzhong, Jin, Woojeong, Joseph, Regina, Leskovec, Jure, Matsui, Akira, Mirtaheri, Mehrnoosh, Ren, Xiang, Satyukov, Gleb, Sethi, Rajiv, Singh, Amandeep, Sosic, Rok, Steyvers, Mark, Szekely, Pedro A, Ward, Michael D., Galstyan, Aram
Publikováno v:
AI Magazine, Volume 44, Issue 1, Pages 112-128, Spring 2023
Sound decision-making relies on accurate prediction for tangible outcomes ranging from military conflict to disease outbreaks. To improve crowdsourced forecasting accuracy, we developed SAGE, a hybrid forecasting system that combines human and machin
Externí odkaz:
http://arxiv.org/abs/2412.10981
Autor:
Merkle, Edgar C., Petrov, Nikolay, Zhu, Sophie Ma, Karger, Ezra, Tetlock, Philip E., Himmelstein, Mark
Assessing forecasting proficiency is a time-intensive activity, often requiring us to wait months or years before we know whether or not the reported forecasts were good. In this study, we develop adaptive cognitive tests that predict forecasting pro
Externí odkaz:
http://arxiv.org/abs/2411.11126
Autor:
Rando, Halie M., Boca, Simina M., McGowan, Lucy D'Agostino, Himmelstein, Daniel S., Robson, Michael P., Rubinetti, Vincent, Velazquez, Ryan, Consortium, COVID-19 Review, Greene, Casey S., Gitter, Anthony
Publikováno v:
Proceedings of the Workshop on Digital Infrastructures for Scholarly Content Objects (2021) 29-38
The COVID-19 pandemic catalyzed the rapid dissemination of papers and preprints investigating the disease and its associated virus, SARS-CoV-2. The multifaceted nature of COVID-19 demands a multidisciplinary approach, but the urgency of the crisis co
Externí odkaz:
http://arxiv.org/abs/2109.08633
Akademický článek
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Autor:
Allar, Benjamin G., Torres, Micaela, Mahmood, Rumel, Ortega, Gezzer, Himmelstein, Jessica, Weissmann, Lisa, Sheth, Ketan, Rayala, Heidi J.
Publikováno v:
In American Journal of Preventive Medicine March 2024 66(3):473-482
Autor:
Justin T. Ridge, Alexandra E. DiGiacomo, Antonio B. Rodriguez, Joshua D. Himmelstein, David W. Johnston
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 9, Iss 4, Pp 501-511 (2023)
Abstract Physical structures generated from ecosystem engineers can have a cascade of impacts on the ecological community and the surrounding landscape. The Eastern oyster Crassostrea virginica can form extensive intertidal reefs, whose three‐dimen
Externí odkaz:
https://doaj.org/article/34d36c7c35f14492878a9f51f451ca18
Autor:
Francesco Caddeo, Florian Himmelstein, Behzad Mahmoudi, Ana María Araújo-Cordero, Denis Eberhart, Haojie Zhang, Titus Lindenberg, Angelika Hähnel, Christian Hagendorf, A. Wouter Maijenburg
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Controlling the crystallization of Metal–Organic Frameworks (MOFs) at the nanoscale is currently challenging, and this hinders their utilization for multiple applications including photo(electro)chemistry and sensors. In this work, we show
Externí odkaz:
https://doaj.org/article/60a577779f2d475f8f23821fdc76b13c
Autor:
Romano, Joseph D., Le, Trang T., La Cava, William, Gregg, John T., Goldberg, Daniel J., Ray, Natasha L., Chakraborty, Praneel, Himmelstein, Daniel, Fu, Weixuan, Moore, Jason H.
Motivation: Novel machine learning and statistical modeling studies rely on standardized comparisons to existing methods using well-studied benchmark datasets. Few tools exist that provide rapid access to many of these datasets through a standardized
Externí odkaz:
http://arxiv.org/abs/2012.00058
Akademický článek
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