Machine Learning in Human Olfactory Research.

scientific article published in January 2019

Machine Learning in Human Olfactory Research. is …
instance of (P31):
review articleQ7318358
scholarly articleQ13442814

External links are
P356DOI10.1093/CHEMSE/BJY067
P932PMC publication ID6295796
P698PubMed publication ID30371751

P50authorThomas HummelQ67207607
Jörn LötschQ43057635
P2093author name stringDario Kringel
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P275copyright licenseCreative Commons Attribution-NonCommercial 4.0 InternationalQ34179348
P433issue1
P407language of work or nameEnglishQ1860
P921main subjectmachine learningQ2539
P304page(s)11-22
P577publication date2019-01-01
P1433published inChemical SensesQ9189414
P1476titleMachine Learning in Human Olfactory Research.
P478volume44

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cites work (P2860)
Q89599820Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research
Q92941453Is It Possible to Predict the Odor of a Molecule on the Basis of its Structure?
Q93088050The Subtle Signaling Strength of Smells: A Masked Odor Enhances Interpersonal Trust

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