Litcius/Paper detail

Geometric morphometrics and machine learning as tools for the identification of sibling mosquito species of the Maculipennis complex (Anopheles)

Nicolò Bellin, Mattia Calzolari, Emanuele Callegari, Paolo Bonilauri, Annalisa Grisendi, M. Dottori, Valeria Rossi

2021Infection Genetics and Evolution25 citationsDOI

Topics & Concepts

BiologyArtificial intelligenceMorphometricsPattern recognition (psychology)Support vector machineCentroidSibling speciesPrincipal component analysisWingStatisticsMachine learningMathematicsZoologyComputer scienceAerospace engineeringEngineeringMorphological variations and asymmetryInsect and Arachnid Ecology and BehaviorSpecies Distribution and Climate Change
Geometric morphometrics and machine learning as tools for the identification of sibling mosquito species of the Maculipennis complex (Anopheles) | Litcius