Mosquito Detection with Neural Networks: The Buzz of Deep Learning. - Ivan Kiskin; Bernardo Pérez Orozco; Theo Windebank; Davide Zilli; Marianne Sinka; Kathy Willis; Stephen J. Roberts (CoRR, 2017)

Mosquito detection with low-cost smartphones: data acquisition for malaria research. - Yunpeng Li 001; Davide Zilli; Henry C. B. Chan; Ivan Kiskin; Marianne Sinka; Stephen J. Roberts; Kathy Willis (CoRR, 2017)

Cost-sensitive detection with variational autoencoders for environmental acoustic sensing. - Yunpeng Li 001; Ivan Kiskin; Davide Zilli; Marianne Sinka; Henry C. B. Chan; Kathy Willis; Stephen J. Roberts (CoRR, 2017)

Fast mosquito acoustic detection with field cup recordings: an initial investigation. - Yunpeng Li 001; Ivan Kiskin; Marianne Sinka; Davide Zilli; Henry Chan; Eva Herreros-Moya; Theeraphap Chareonviriyaphap; Rungarun Tisgratog; Kathy Willis; Stephen J. Roberts (DCASE, 2018)

Super-resolution of Time-series Labels for Bootstrapped Event Detection. - Ivan Kiskin; Udeepa Meepegama; Steven Roberts (CoRR, 2019)

An Overview of Gaussian process Regression for Volatility Forecasting. - Bingqing Liu; Ivan Kiskin; Stephen Roberts 001 (ICAIIC, 2020)

Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset. - Ivan Kiskin; Adam D. Cobb; Lawrence Wang; Stephen Roberts 001 (ICASSP, 2020)

Bioacoustic detection with wavelet-conditioned convolutional neural networks. - Ivan Kiskin; Davide Zilli; Yunpeng Li 001; Marianne Sinka; Kathy Willis; Stephen J. Roberts (Neural Comput. Appl., 2020)

Machine learning for acoustic mosquito detection. - Ivan Kiskin (2020)

HumBugDB: A Large-scale Acoustic Mosquito Dataset. - Ivan Kiskin; Marianne Sinka; Adam D. Cobb; Waqas Rafique; Lawrence Wang; Davide Zilli; Benjamin Gutteridge; Rinita Dam; Theodoros Marinos; Yunpeng Li 001; Dickson Msaky; Emmanuel Kaindoa; et al. (NeurIPS Datasets and Benchmarks, 2021)

Automatic Acoustic Mosquito Tagging with Bayesian Neural Networks. - Ivan Kiskin; Adam D. Cobb; Marianne Sinka; Kathy Willis; Stephen J. Roberts (ECML/PKDD (4), 2021)

HumBugDB: a large-scale acoustic mosquito dataset. - Ivan Kiskin; Lawrence Wang; Marianne Sinka; Adam D. Cobb; Benjamin Gutteridge; Davide Zilli; Waqas Rafique; Rinita Dam; Theodoros Marinos; Yunpeng Li 001; Gerard Killeen; Dickson Msaky; et al. (Zenodo, 2021)

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection. - Benjamin Walker 001; Felix Krones; Ivan Kiskin; Guy Parsons; Terence Lyons; Adam Mahdi (CinC, 2022)

Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge. - Inês Nolasco; Shubhr Singh; E. Vidaña-Villa; Emily Grout; J. Morford; Michael G. Emmerson; Frants H. Jensen; Ivan Kiskin; Helen Whitehead; Ariana Strandburg-Peshkin; Lisa F. Gill; Hanna Pamula; et al. (DCASE, 2022)

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)

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)

The HumBug Challenge: ComParE 2022. - Ivan Kiskin; Lawrence Wang; Marianne Sinka; Adam D. Cobb; Benjamin Gutteridge; Davide Zilli; Alexandru Constantin; Andreas Pentaliotis; Waqas Rafique; Rinita Dam; Theodoros Marinos; Yunpeng Li 001; et al. (Zenodo, 2022)

Learning to detect an animal sound from five examples. - Inês Nolasco; Shubhr Singh; Veronica Morfi; Vincent Lostanlen; Ariana Strandburg-Peshkin; Ester Vidaña-Vila; Lisa F. Gill; Hanna Pamula; Helen Whitehead; Ivan Kiskin; Frants H. Jensen; Joe Morford; et al. (CoRR, 2023)

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection. - Benjamin Walker 001; Felix Krones; Ivan Kiskin; Guy Parsons; Terry J. Lyons; Adam Mahdi (CoRR, 2023)

Few-shot bioacoustic event detection at the DCASE 2023 challenge. - Inês Nolasco; Burooj Ghani; Shubhr Singh; Ester Vidaña-Vila; Helen Whitehead; Emily Grout; Michael G. Emmerson; Frants H. Jensen; Ivan Kiskin; Joe Morford; Ariana Strandburg-Peshkin; Lisa F. Gill; et al. (CoRR, 2023)

Learning to detect an animal sound from five examples. - Inês Nolasco; Shubhr Singh; Veronica Morfi; Vincent Lostanlen; Ariana Strandburg-Peshkin; Ester Vidaña-Vila; Lisa F. Gill; Hanna Pamula; Helen Whitehead; Ivan Kiskin; Frants H. Jensen; Joe Morford; et al. (Ecol. Informatics, 2023)

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)