Harry Coppock

According to our database1, Harry Coppock authored at least 18 papers between 2020 and 2025.

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Bibliography

2025
Skewed Score: A statistical framework to assess autograders.
CoRR, July, 2025

Establishing Best Practices for Building Rigorous Agentic Benchmarks.
CoRR, July, 2025

HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation Statistics.
CoRR, May, 2025

2024
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers.
Nat. Mac. Intell., 2024

Neural Compression Augmentation for Contrastive Audio Representation Learning.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A summary of the ComParE COVID-19 challenges.
Frontiers Digit. Health, March, 2023

Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio.
CoRR, 2023

Audio Barlow Twins: Self-Supervised Audio Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 From Audio Challenges.
Frontiers Digit. Health, 2022

Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19.
CoRR, 2022

Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers.
CoRR, 2022

A large-scale and PCR-referenced vocal audio dataset for COVID-19.
CoRR, 2022

Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet.
CoRR, 2022

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
End-2-End COVID-19 Detection from Breath & Cough Audio.
CoRR, 2021

Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks.
CoRR, 2020


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