A5091983092- Species Distribution and Climate Change
- Animal Vocal Communication and Behavior
- Marine animal studies overview
- Bat Biology and Ecology Studies
- Wildlife Ecology and Conservation
- Music and Audio Processing
- Environmental DNA in Biodiversity Studies
Earth Island Institute
2024
University of St Andrews
2023
New methods promise transformative insights and conservation benefits.
The use of machine learning (ML) based techniques has become increasingly popular in the field bioacoustics over last years. Fundamental requirement for successful application ML are curated, agreed upon, high-quality datasets and benchmark tasks to be learned on a given dataset. However, so far lacks such public benchmarks which cover multiple species measure performance controlled standardized way that allows benchmarking newly proposed existing ones. Here, we propose BEANS (the BEnchmark...
Animal-borne sensors ('bio-loggers') can record a suite of kinematic and environmental data, which elucidate animal ecophysiology improve conservation efforts. Machine learning techniques are used for interpreting the large amounts data recorded by bio-loggers, but there exists no common framework comparing different machine in this domain. To address this, we present Bio-logger Ethogram Benchmark (BEBE), collection datasets with behavioral annotations, as well modeling task evaluation...
The use of machine learning (ML) based techniques has become increasingly popular in the field bioacoustics over last years. Fundamental requirements for successful application ML are curated, agreed upon, high-quality datasets and benchmark tasks to be learned on a given dataset. However, so far lacks such public benchmarks which cover multiple species measure performance controlled standardized way that allows benchmarking newly proposed existing ones. Here, we propose BEANS (the BEnchmark...