Data-driven modeling for different stages of pandemic response
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Published in arXiv.org (21.09.2020)
Published in arXiv.org (21.09.2020)
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Journal Article
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Published in ArXiv.org (21.09.2020)
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Published in ArXiv.org (21.09.2020)
Journal Article
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Published in ArXiv.org (21.09.2020)
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Published in ArXiv.org (21.09.2020)
Journal Article
Models for COVID-19 Pandemic: A Comparative Analysis
Adiga, Aniruddha, Dubhashi, Devdatt, Lewis, Bryan, Marathe, Madhav, Srinivasan Venkatramanan, Vullikanti, Anil
Published in arXiv.org (21.09.2020)
Published in arXiv.org (21.09.2020)
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Paper
Journal Article
Data-driven modeling for different stages of pandemic response
Adiga, Aniruddha, Chen, Jiangzhuo, Marathe, Madhav, Mortveit, Henning, Venkatramanan, Srinivasan, Vullikanti, Anil
Published in ArXiv.org (21.09.2020)
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Published in ArXiv.org (21.09.2020)
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Published in arXiv.org (11.09.2024)
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Published in arXiv.org (11.09.2024)
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Published in 2021 IEEE International Conference on Big Data (Big Data) (15.12.2021)
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Conference Proceeding
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Published in 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) (14.05.2017)
Published in 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) (14.05.2017)
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Published in arXiv.org (15.12.2021)
Published in arXiv.org (15.12.2021)
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Published in arXiv.org (25.11.2019)
Published in arXiv.org (25.11.2019)
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Critical Design Decisions for Cognitive Networks
Thomas, R.W., DaSilva, L.A., Marathe, M.V., Wood, K.N.
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Published in 2007 IEEE International Conference on Communications (01.06.2007)
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SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting
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Published in arXiv.org (04.10.2020)
Published in arXiv.org (04.10.2020)
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