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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants

Participants in the publication
Nuno M. Rodrigues (Author)
João E. Batista (Author)
Pedro Mariano (Author)
Dep. Informática
BIOISI - Instituto de Biossistemas e Ciências Integrativas
Vanessa Fonseca (Author)
Dep. Biologia Animal
MARE-ULisboa - Centro de Ciências do Mar e Ambiente-ULisboa
Bernardo Duarte (Author)
Dep. Biologia Vegetal
MARE-ULisboa - Centro de Ciências do Mar e Ambiente-ULisboa
Sara Silva (Author)
Dep. Informática
LASIGE - LASIGE-Computer Science and Engineering Research Centre

Date of Publication
2021-09-18

Where published
Biology

Publication Identifiers
ISSN - 2079-7737

Publisher
MDPI AG

Volume
10
Number
9

Starting page
932

Document Identifiers
DOI - https://doi.org/10.3390/biology10090932
URL - http://dx.doi.org/10.3390/biology10090932

Rankings
SCOPUS Q1 (2019) - 6.2 - General Biochemistry,Genetics and Molecular Biology


Export

APA
Nuno M. Rodrigues, João E. Batista, Pedro Mariano, Vanessa Fonseca, Bernardo Duarte, Sara Silva, (2021). Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants. Biology, 10, ISSN 2079-7737. eISSN . http://dx.doi.org/10.3390/biology10090932

IEEE
Nuno M. Rodrigues, João E. Batista, Pedro Mariano, Vanessa Fonseca, Bernardo Duarte, Sara Silva, "Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants" in Biology, vol. 10, 2021. 10.3390/biology10090932

BIBTEX
@article{52255, author = {Nuno M. Rodrigues and João E. Batista and Pedro Mariano and Vanessa Fonseca and Bernardo Duarte and Sara Silva}, title = {Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants}, journal = {Biology}, year = 2021, volume = 10 }