Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers - Harry Coppock; George Nicholson; Ivan Kiskin; Vasiliki Koutra; Kieran Baker; Jobie Budd; Richard Payne; Emma Karoune; David Hurley; Alexander Titcomb; Sabrina Egglestone; Ana Tendero Cañadas; et al. (Nat. Mac. Intell., 2024)

A large-scale and PCR-referenced vocal audio dataset for COVID-19 - Jobie Budd; Kieran Baker; Emma Karoune; Harry Coppock; Selina Patel; Ana Tendero Cañadas; Alexander Titcomb; Richard Payne; David Hurley; Sabrina Egglestone; Lorraine Butler; Jonathon Mellor; et al. (CoRR, 2022)

Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers - Harry Coppock; George Nicholson; Ivan Kiskin; Vasiliki Koutra; Kieran Baker; Jobie Budd; Richard Payne; Emma Karoune; David Hurley; Alexander Titcomb; Sabrina Egglestone; Ana Tendero Cañadas; et al. (CoRR, 2022)

Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19 - Davide Pigoli; Kieran Baker; Jobie Budd; Lorraine Butler; Harry Coppock; Sabrina Egglestone; Steven G. Gilmour; Chris C. Holmes; David Hurley; Radka Jersakova; Ivan Kiskin; Vasiliki Koutra; et al. (CoRR, 2022)

Kriging Riemannian Data via Random Domain Decompositions - Alessandra Menafoglio; Davide Pigoli; Piercesare Secchi (J. Comput. Graph. Stat., 2021)

Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns - Davide Beretta; Samuele Grillo; Davide Pigoli; Enea Bionda; Claudio Bossi; Carlo Tornelli (CoRR, 2019)

Kriging prediction for manifold-valued random fields - Davide Pigoli; Alessandra Menafoglio; Piercesare Secchi (J. Multivar. Anal., 2016)

Wavelets in functional data analysis: Estimation of multidimensional curves and their derivatives - Davide Pigoli; Laura M. Sangalli (Comput. Stat. Data Anal., 2012)