Ivan Kiskin

According to our database, Ivan Kiskin authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Burooj Ghani, Dan Stowell

Ecol. Informatics, November, 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, Hanna Pamula, Vincent Lostanlen, Dan Stowell

CoRR, 2023

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection.

Benjamin Walker, Felix Krones, Ivan Kiskin, Guy Parsons, Terry J. Lyons, Adam Mahdi

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, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Dan Stowell

CoRR, 2023

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, Gerard Killeen, Dickson Msaky, Emmanuel Kaindoa, Kathy Willis, Steve J. Roberts

Dataset, April, 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

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, Ivan Kiskin, Marianne Sinka, Stephen J. Roberts

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 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, Vincent Lostanlen, Veronica Morfi, Dan Stowell

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection.

Benjamin Walker, Felix Krones, Ivan Kiskin, Guy Parsons, Terence Lyons, Adam Mahdi

Proceedings of the Computing in Cardiology, 2022

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, Gerard Killeen, Dickson Msaky, Emmanuel Kaindoa, Kathy Willis, Steve J. Roberts

Dataset, June, 2021

Automatic Acoustic Mosquito Tagging with Bayesian Neural Networks.

Ivan Kiskin, Adam D. Cobb, Marianne Sinka, Kathy Willis, Stephen J. Roberts

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

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, Dickson Msaky, Emmanuel Kaindoa, Gerard Killeen, Eva Herreros-Moya, Kathy Willis, Stephen J. Roberts

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Machine learning for acoustic mosquito detection.

Ivan Kiskin

PhD thesis, 2020

Bioacoustic detection with wavelet-conditioned convolutional neural networks.

Ivan Kiskin, Davide Zilli, Yunpeng Li, Marianne Sinka, Kathy Willis, Stephen J. Roberts

Neural Comput. Appl., 2020

Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset.

Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

An Overview of Gaussian process Regression for Volatility Forecasting.

Bingqing Liu, Ivan Kiskin, Stephen Roberts

Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

2019

Super-resolution of Time-series Labels for Bootstrapped Event Detection.

Ivan Kiskin, Udeepa Meepegama, Steven Roberts

CoRR, 2019

2018

Fast mosquito acoustic detection with field cup recordings: an initial investigation.

Yunpeng Li, Ivan Kiskin, Marianne Sinka, Davide Zilli, Henry Chan, Eva Herreros-Moya, Theeraphap Chareonviriyaphap, Rungarun Tisgratog, Kathy Willis, Stephen J. Roberts

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017

Cost-sensitive detection with variational autoencoders for environmental acoustic sensing.

Yunpeng Li, Ivan Kiskin, Davide Zilli, Marianne Sinka, Henry C. B. Chan, Kathy Willis, Stephen J. Roberts

CoRR, 2017

Mosquito detection with low-cost smartphones: data acquisition for malaria research.

Yunpeng Li, Davide Zilli, Henry C. B. Chan, Ivan Kiskin, Marianne Sinka, Stephen J. Roberts, Kathy Willis

CoRR, 2017

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