Publications by authors named "Neil Scheidwasser"

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Deep learning from videography as a tool for measuring infection in poultry.
Neil Scheidwasser, Louise Ladefoged Poulsen, Prince Ravi Leow, Mark Poulsen Khurana, Maider Iglesias-Carrasco

R Soc Open Sci· October 2025

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Phylo2Vec: A Vector Representation for Binary Trees.
Matthew J Penn, Neil Scheidwasser, Mark P Khurana, David A Duchêne, Christl A Donnelly

Syst Biol· April 2025

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Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis.
Helen Coupland, Neil Scheidwasser, Alexandros Katsiferis, Megan Davies, Seth Flaxman

BMC Public Health· April 2025

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Artificial intelligence for modelling infectious disease epidemics.
Moritz U G Kraemer, Joseph L-H Tsui, Serina Y Chang, Spyros Lytras, Mark P Khurana, Neil Scheidwasser

Nature· February 2025

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Bayesian Inference of Phylogenetic Distances: Revisiting the Eigenvalue Approach.
Matthew J Penn, Neil Scheidwasser, Christl A Donnelly, David A Duchêne, Samir Bhatt

Bull Math Biol· January 2025

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High-resolution epidemiological landscape from  ~290,000 SARS-CoV-2 genomes from Denmark.
Mark P Khurana, Jacob Curran-Sebastian, Neil Scheidwasser, Christian Morgenstern, Morten Rasmussen

Nat Commun· August 2024

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Leaping through Tree Space: Continuous Phylogenetic Inference for Rooted and Unrooted Trees.
Matthew J Penn, Neil Scheidwasser, Joseph Penn, Christl A Donnelly, David A Duchêne

Genome Biol Evol· December 2023

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Commentary: The Risky Closed Economy: A Holistic, Longitudinal Approach to Studying Fear and Anxiety in Rodents.
Neil Scheidwasser, Melissa Faggella, Elizaveta Kozlova, Carmen Sandi

Front Behav Neurosci· March 2021

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