Multiple-Instance Multiple-Label Learning for the Classification of Frog Calls with Acoustic Event Detection. - Jie Xie 001; Michael W. Towsey; Liang Zhang 028; Kiyomi Yasumiba; Lin Schwarzkopf; Jinglan Zhang; Paul Roe (ICISP, 2016)

In Situ Cane Toad Recognition. - Dmitry A. Konovalov; Simindokht Jahangard; Lin Schwarzkopf (DICTA, 2018)

Catching Toad Calls in the Cloud: Commodity Edge Computing for Flexible Analysis of Big Sound Data. - Paul Roe; Meriem Ferroudj; Michael Towsey; Lin Schwarzkopf (eScience, 2018)

Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale Passive Acoustic Monitoring. - Thomas Napier; Euijoon Ahn; Slade Allen-Ankins; Lin Schwarzkopf; Ickjai Lee (Expert Syst. Appl., 2024)

Advancing invasive species monitoring: A free tool for detecting invasive cane toads using continental-scale data. - Franco Ka Wah Leung; Lin Schwarzkopf; Slade Allen-Ankins (Ecol. Informatics, 2025)

LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis. - Thomas Napier; Euijoon Ahn; Slade Allen-Ankins; Lin Schwarzkopf; Ickjai Lee (Ecol. Informatics, 2025)