activity
20172026
most citedMosquito Detection with Neural Networks: The Buzz of Deep Learning

39 citations · 66 across the 6 of their papers we have counts for

collaborators

6 papers

eess.AS2026

BioDCASE 2026 Challenge Baseline for Cross-Domain Mosquito Species Classification

Yuanbo Hou, Vanja Zdravkovic, Marianne Sinka +5

Mosquito-borne diseases affect more than one billion people each year and cause close to one million deaths. Traditional surveillance methods rely on traps and manual identificatio…

cs.SD2022★ 1 cited

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes

Björn W. Schuller, Anton Batliner, Shahin Amiriparian +12

The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the…

cs.SD2021

HumBugDB: A Large-scale Acoustic Mosquito Dataset

Ivan Kiskin, Marianne Sinka, Adam D. Cobb +13

This paper presents the first large-scale multi-species dataset of acoustic recordings of mosquitoes tracked continuously in free flight. We present 20 hours of audio recordings th…

stat.ML2017★ 5 cited

Cost-sensitive detection with variational autoencoders for environmental acoustic sensing

Yunpeng Li, Ivan Kiskin, Davide Zilli +4

Environmental acoustic sensing involves the retrieval and processing of audio signals to better understand our surroundings. While large-scale acoustic data make manual analysis in…

stat.ML2017★ 21 cited

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

Yunpeng Li, Davide Zilli, Henry Chan +4

Mosquitoes are a major vector for malaria, causing hundreds of thousands of deaths in the developing world each year. Not only is the prevention of mosquito bites of paramount impo…

stat.ML2017★ 39 cited

Mosquito Detection with Neural Networks: The Buzz of Deep Learning

Ivan Kiskin, Bernardo Pérez Orozco, Theo Windebank +4

Many real-world time-series analysis problems are characterised by scarce data. Solutions typically rely on hand-crafted features extracted from the time or frequency domain allied…