Marianne Sinka

According to our database, Marianne Sinka authored at least 11 papers between 2017 and 2024.

Collaborative distances:

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

2024

AnophelesModel: An R package to interface mosquito bionomics, human exposure and intervention effects with models of malaria intervention impact.

Monica Golumbeanu, Olivier Briët, Clara Champagne, Jeanne Lemant, Munir Winkel, Barnabas Zogo, Maximilian Gerhards, Marianne Sinka, Nakul Chitnis, Melissa Penny, Emilie Pothin, Thomas A. Smith

PLoS Comput. Biol., 2024

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

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

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

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

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