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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
Vanessa Fonseca (Author)
Dep. Biologia Animal
MARE
Bernardo Duarte (Author)
Dep. Biologia Vegetal
MARE
Sara Silva (Author)
Dep. Informática
LASIGE

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
SCIMAGO Q1 (2020) - 1.731 - Agricultural and Biological Sciences


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 }