Davide Zilli

HumBugDB: A Large-scale Acoustic Mosquito Dataset

Oct 14, 2021
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 J. Willis, Stephen J. Roberts

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* Accepted at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks. 10 pages main, 39 pages including appendix. This paper accompanies the dataset found at https://zenodo.org/record/4904800 with corresponding code at https://github.com/HumBug-Mosquito/HumBugDB

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Cost-sensitive detection with variational autoencoders for environmental acoustic sensing

Dec 07, 2017
Yunpeng Li, Ivan Kiskin, Davide Zilli, Marianne Sinka, Henry Chan, Kathy Willis, Stephen Roberts

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* Presented at the NIPS 2017 Workshop on Machine Learning for Audio Signal Processing

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

Dec 06, 2017
Yunpeng Li, Davide Zilli, Henry Chan, Ivan Kiskin, Marianne Sinka, Stephen Roberts, Kathy Willis

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* Presented at NIPS 2017 Workshop on Machine Learning for the Developing World

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Mosquito Detection with Neural Networks: The Buzz of Deep Learning

May 15, 2017
Ivan Kiskin, Bernardo Pérez Orozco, Theo Windebank, Davide Zilli, Marianne Sinka, Kathy Willis, Stephen Roberts

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* For data and software related to this paper, see http://humbug.ac.uk/kiskin2017/. Submitted as a conference paper to ECML 2017

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