Conference item
Automatic acoustic mosquito tagging with Bayesian neural networks
- Abstract:
-
Deep learning models are now widely used in decision-making applications. These models must be robust to noise and carefully map to the underlying uncertainty in the data. Standard deterministic neural networks are well known to be poor at providing reliable estimates of uncertainty and often lack the robustness that is required for real-world deployment. In this paper, we work with an application that requires accurate uncertainty estimates in addition to good predictive performance. In part...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Accepted manuscript, pdf, 1.7MB)
-
- Publisher copy:
- 10.1007/978-3-030-86514-6_22
Authors
Bibliographic Details
- Publisher:
- Springer Publisher's website
- Host title:
- Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
- Series:
- Lecture Notes in Computer Science
- Series number:
- 12978
- Pages:
- 351-366
- Place of publication:
- Cham, Switzerland
- Publication date:
- 2021-09-10
- Acceptance date:
- 2021-06-18
- Event title:
- European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PDKK 2021)
- Event location:
- Virtual event
- Event website:
- https://2021.ecmlpkdd.org/index.html
- Event start date:
- 2021-09-13
- Event end date:
- 2021-09-17
- DOI:
- EISSN:
-
1611-3349
- ISSN:
-
0302-9743
- EISBN:
- 9783030865146
- ISBN:
- 9783030865139
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1198305
- Local pid:
- pubs:1198305
- Deposit date:
- 2023-01-20
Terms of use
- Copyright holder:
- Springer Nature Switzerland AG
- Copyright date:
- 2021
- Rights statement:
- © 2021 Springer Nature Switzerland AG.
- Notes:
- This is the accepted manuscript version of the paper. The final version is available online from Springer at: https://doi.org/10.1007/978-3-030-86514-6_22
Metrics
If you are the owner of this record, you can report an update to it here: Report update to this record