Davide Pigoli

According to our database, Davide Pigoli authored at least 9 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Riemannian Covariance for Manifold-Valued Data.

Meshal Abuqrais, Davide Pigoli

J. Math. Imaging Vis., April, 2026

2024

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, Lorraine Butler, Radka Jersakova, Jonathon Mellor, Selina Patel, Tracey Thornley, Peter Diggle, Sylvia Richardson, Josef Packham, Björn W. Schuller, Davide Pigoli, Steven G. Gilmour, Stephen J. Roberts, Christopher C. Holmes

Nat. Mac. Intell., 2024

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, Jonathon Mellor, George Nicholson, Joe Packham, Selina Patel, Richard Payne, Stephen J. Roberts, Björn W. Schuller, Ana Tendero Cañadas, Tracey Thornley, Alexander Titcomb

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, Lorraine Butler, Radka Jersakova, Jonathon Mellor, Selina Patel, Tracey Thornley, Peter Diggle, Sylvia Richardson, Josef Packham, Björn W. Schuller, Davide Pigoli, Steven Gilmour, Stephen J. Roberts, Chris C. Holmes

CoRR, 2022

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, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Radka Jersakova, Rachel A. McKendry, Peter Diggle, Sylvia Richardson, Björn W. Schuller, Steven Gilmour, Davide Pigoli, Stephen J. Roberts, Josef Packham, Tracey Thornley, Chris C. Holmes

CoRR, 2022

2021

Kriging Riemannian Data via Random Domain Decompositions.

Alessandra Menafoglio, Davide Pigoli, Piercesare Secchi

J. Comput. Graph. Stat., 2021

2019

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

2016

Kriging prediction for manifold-valued random fields.

Davide Pigoli, Alessandra Menafoglio, Piercesare Secchi

J. Multivar. Anal., 2016

2012

Wavelets in functional data analysis: Estimation of multidimensional curves and their derivatives.

Davide Pigoli, Laura M. Sangalli

Comput. Stat. Data Anal., 2012