Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approach

Jakob Schaefer, Manuel Milling, Björn W. Schuller, Bernhard Bauer, Jens O. Brunner, Claudia Traidl-Hoffmann, Athanasios Damialis

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Fingerprint

Dive into the research topics of 'Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approach'. Together they form a unique fingerprint.

Keyphrases

Immunology and Microbiology

Pharmacology, Toxicology and Pharmaceutical Science

Biochemistry, Genetics and Molecular Biology

Earth and Planetary Sciences