Coppock, Harry

End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study

Coppock, H., Gaskell, A., Tzirakis, P., Baird, A., Jones, L., & Schuller, B. (2021) · BMJ Innovations

Phonocardiography and Auscultation TechniquesCOVID-19 diagnosis using AI

Cited by 108

COVID-19 detection from audio: seven grains of salt

Coppock, H., Jones, L., Kiskin, I., & Schuller, B. (2021) · The Lancet Digital Health

Phonocardiography and Auscultation TechniquesCOVID-19 diagnosis using AI

Cited by 55

Establishing Best Practices for Building Rigorous Agentic Benchmarks

Zhu, Y., Jin, T., Pruksachatkun, Y., Zhang, A., Liu, S., Cui, S., Kapoor, S., Longpre, S., Meng, K., Weiss, R., et al. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 2

Establishing Best Practices in Building Rigorous Agentic Benchmarks

Zhu, Y., Jin, T., Pruksachatkun, Y., Zhang, A., Liu, S., Cui, S., Kapoor, S., Longpre, S., Meng, K., Weiss, R., et al. (2025) · Advances in Neural Information Processing Systems 38

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0