Santiago Martínez Balvanera

PAMalytics provides a no-code tool for structured post-classification validation of bioacoustic detections, improving traceability and reducing manual handling in biodiversity monitoring.

This paper develops machine learning classifiers to detect coral seeding devices in reef imagery, achieving high accuracy with minimal manual annotation.

This paper demonstrates that pretrained neural networks and unsupervised learning effectively analyze coral reef soundscapes for ecological insights without manual annotation.