Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks. - Björn W. Schuller; Harry Coppock; Alexander Gaskell (CoRR, 2020)

Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks. - Mina A. Nessiem; Mostafa M. Mohamed; Harry Coppock; Alexander Gaskell; Björn W. Schuller (CBMS, 2021)

End-2-End COVID-19 Detection from Breath & Cough Audio. - Harry Coppock; Alexander Gaskell; Panagiotis Tzirakis; Alice Baird; Lyn Jones; Björn W. Schuller (CoRR, 2021)

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. - Björn W. Schuller; Anton Batliner; Shahin Amiriparian; Christian Bergler; Maurice Gerczuk; Natalie Holz; Pauline Larrouy-Maestri; Sebastian P. Bayerl; Korbinian Riedhammer; Adria Mallol-Ragolta; Maria Pateraki; Harry Coppock; et al. (ACM Multimedia, 2022)

Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet. - Björn W. Schuller; Alican Akman; Yi Chang 004; Harry Coppock; Alexander Gebhard 001; Alexander Kathan; Esther Rituerto-González; Andreas Triantafyllopoulos; Florian B. Pokorny (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; 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)

Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 From Audio Challenges. - Alican Akman; Harry Coppock; Alexander Gaskell; Panagiotis Tzirakis; Lyn Jones; Björn W. Schuller (Frontiers Digit. Health, 2022)

Audio Barlow Twins: Self-Supervised Audio Representation Learning. - Jonah Anton; Harry Coppock; Pancham Shukla; Björn W. Schuller (ICASSP, 2023)

Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio. - Chia-Hsin Lin; Charles Jones; Björn W. Schuller; Harry Coppock (CoRR, 2023)

A summary of the ComParE COVID-19 challenges. - Harry Coppock; Alican Akman; Christian Bergler; Maurice Gerczuk; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Jing Han 010; et al. (Frontiers Digit. Health, 2023)

Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio. - Chia-Hsin Lin; Charles Jones; Björn W. Schuller; Harry Coppock; Alican Akman (ICASSP, 2024)

Neural Compression Augmentation for Contrastive Audio Representation Learning. - Zhaoyu Wang; Haohe Liu; Harry Coppock; Björn W. Schuller; Mark D. Plumbley (INTERSPEECH, 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; et al. (Nat. Mac. Intell., 2024)

HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation Statistics. - Lennart Luettgau; Harry Coppock; Magda Dubois; Christopher Summerfield; Cozmin Ududec (CoRR, 2025)

Establishing Best Practices for Building Rigorous Agentic Benchmarks. - Yuxuan Zhu; Tengjun Jin; Yada Pruksachatkun; Andy Zhang; Shu Liu; Sasha Cui; Sayash Kapoor; Shayne Longpre; Kevin Meng; Rebecca Weiss; Fazl Barez; Rahul Gupta 001; et al. (CoRR, 2025)

Skewed Score: A statistical framework to assess autograders. - Magda Dubois; Harry Coppock; Mario Giulianelli; Timo Flesch; Lennart Luettgau; Cozmin Ududec (CoRR, 2025)