Zobrazeno 1 - 5 of 5 pro vyhledávání: '"Neil Scheidwasser"'
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Akademický článek
High-resolution epidemiological landscape from ~290,000 SARS-CoV-2 genomes from Denmark
Autor: Mark P. Khurana, Jacob Curran-Sebastian, Neil Scheidwasser, Christian Morgenstern, Morten Rasmussen, Jannik Fonager, Marc Stegger, Man-Hung Eric Tang, Jonas L. Juul, Leandro Andrés Escobar-Herrera, Frederik Trier Møller, The Danish COVID-19 Genome Consortium (DCGC), Mads Albertsen, Moritz U. G. Kraemer, Louis du Plessis, Pikka Jokelainen, Sune Lehmann, Tyra G. Krause, Henrik Ullum, David A. Duchêne, Laust H. Mortensen, Samir Bhatt
Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Vast amounts of pathogen genomic, demographic and spatial data are transforming our understanding of SARS-CoV-2 emergence and spread. We examined the drivers of molecular evolution and spread of 291,791 SARS-CoV-2 genomes from Denmark in 202
Externí odkaz: https://doaj.org/article/64a2158399584da899153d9bb77e2d62
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3
The departure between constant-rate birth-death and empirically inferred diversification processes
Autor: Mark P. Khurana, Neil Scheidwasser-Clow, Matthew J. Penn, Samir Bhatt, David Duchêne
Birth-death models (BDMs) are stochastic processes describing the processes of speciation and extinction through time and across taxa and are widely used in biology for inference of evolutionary timescales. Previous research has highlighted how the e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cf92b8e8767a96e039799a674e76edf
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4
Efficient Speech Quality Assessment using Self-supervised Framewise Embeddings
Autor: Karl El Hajal, Zihan Wu, Neil Scheidwasser-Clow, Gasser Elbanna, Milos Cernak
Publikováno v: Hajal, K E, Wu, Z, Scheidwasser-Clow, N, Elbanna, G & Cernak, M 2022 ' Efficient Speech Quality Assessment using Self-supervised Framewise Embeddings ' . https://doi.org/10.48550/arXiv.2211.06646
Automatic speech quality assessment is essential for audio researchers, developers, speech and language pathologists, and system quality engineers. The current state-of-the-art systems are based on framewise speech features (hand-engineered or learna
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ca5ab7d1582410321843ce3faa5850c
https://curis.ku.dk/ws/files/327940422/2211.06646v1.pdf
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