Scholar
John Martinsson
Google Scholar ID: sAMIwlMAAAAJ
RISE Research institutes of Sweden, Lunds University
Citations & Impact
Citations
493
H-index
10
i10-index
10
Publications
20
Co-authors
9
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published several papers on the application of machine listening in bioacoustics, including 'From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning' (2024 European Signal Processing Conference) and 'The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time' (Transactions on Machine Learning Research).
Research Experience
- Involved in the AukLab-Audio project, collaborating with Jonas Hentati Sundberg, Delia Fano Yela, and Olof Mogren on acoustic monitoring of seabirds in the Baltic Sea. Collaborated with Tuomas Virtanen from Tampere University during a research visit at the Audio Research Group.
Education
- PhD student at RISE, affiliated with Lund University. Supervisors are Olof Mogren and Maria Sandsten. Also a core member of Climate AI Nordics.
Background
- Passionate about machine listening, focusing on bioacoustics and biodiversity monitoring. Aims to develop robust models that perform well with limited labeled data and improve the efficiency and accuracy of bioacoustic data labeling.
Miscellany
- Interested in automating the sensing and monitoring of natural environments, particularly for tracking animal populations, through machine listening technologies.
