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We reduced the number of detections that required validation by 75.7% and 42.9%, respectively, while retaining at least 98% of the true positive detections. Validation prediction substantially improves the efficiency of using automated recognition on acoustic datasets. Our method can be of use to wildlife monitoring and research programs and will facilitate using automated recognition to mine bioacoustic datasets. This article is protected by copyright. All rights reserved.BACKGROUND Simulation-based education is a mainstay in education
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