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This dataset is a SQLite database that accompanies methods and analysis described in the paper, "Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring" (Balantic & Donovan 2019, Bioacoustics, https://www.tandfonline.com/doi/full/10.1080/09524622.2019.1605309). A Github repository containing code for using the SQLite database also accompanies this paper at: http://github.com/cbalantic/false-positive-mitigation
{"references": ["Balantic, C. M., & Donovan, T. M. (2019). Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring. Bioacoustics, 1-26. DOI: 10.1080/09524622.2019.1605309"]}
A Github repository containing code for using the SQLite database also accompanies this paper at: http://github.com/cbalantic/false-positive-mitigation
bioacoustics, statistical learning, machine learning, species identification, false positives, Automated acoustic monitoring
bioacoustics, statistical learning, machine learning, species identification, false positives, Automated acoustic monitoring
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