Self-supervised and few-shot learning for robust bioaerosol monitoring

Authors

Simone Lionetti (ORCID: https://orcid.org/0000-0001-7305-8957)
Yanick Zeder
Pascal Baumann (ORCID: https://orcid.org/0000-0002-9371-0807)
Fabian Gröger (ORCID: https://orcid.org/0000-0002-9699-688X)
Sophie Erb (ORCID: https://orcid.org/0000-0002-0700-283X)
Adrian Willi

Institutions

Union Bank of Switzerland (CH)
Federal Office of Meteorology and Climatology MeteoSwiss (CH)
University of Basel (CH)
École Polytechnique Fédérale de Lausanne (CH)
Lucerne University of Applied Sciences and Arts (CH)

Publication Details

Journal: Aerobiologia
Published: 2025-04-09
DOI: https://doi.org/10.1007/s10453-025-09850-4
Citations: 2
Primary Topic: Air Quality Monitoring and Forecasting
Type: article
Field-Weighted Citation Impact: 1.60

Funders

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Innosuisse - Schweizerische Agentur für Innovationsförderung
Hochschule Luzern

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article

Self-supervised and few-shot learning for robust bioaerosol monitoring

Simone Lionetti, Yanick Zeder, Pascal Baumann, Fabian Gröger et al.

Apr 9, 2025

2 citations

Aerobiologia

Air Quality Monitoring and Forecasting

1.60

article

Self-supervised and few-shot learning for robust bioaerosol monitoring

Simone Lionetti, Yanick Zeder, Pascal Baumann, Fabian Gröger, Sophie Erb, Adrian Willi

April 9, 2025article en

2 citations

Abstract

No abstract available for this paper.

AerobiologiaVol. 41(2)

Union Bank of Switzerland (CH), Federal Office of Meteorology and Climatology MeteoSwiss (CH), University of Basel (CH), École Polytechnique Fédérale de Lausanne (CH), Lucerne University of Applied Sciences and Arts (CH)

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Innosuisse - Schweizerische Agentur für Innovationsförderung, Hochschule Luzern

Openalex Percentile: Top 19%

Air Quality Monitoring and Forecasting

1.60

DOI Open Access PDF OpenAlex

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