Author

M. G. Foti

Sapienza University of RomeORCID 0000-0002-0976-7246Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:Arabidopsis· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alessandra della TorreiD· 1 shared Beniamino CaputoiD· 1 shared Francesco BaldiniiD· 1 shared Iván Casas Gómez-UribarriiD· 1 shared Martina MicocciiD· 1 shared Mauro Pazmiño BetancourthiD· 1 shared Paola Serini· 1 shared

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2025-2025 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperEcology

Alessandra della TorreORCID

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1 paper

Recent·Most cited

EcologyScientific ReportsPeer-reviewedNov 18, 2025

Towards Scalable Age-Grading of Aedes albopictus mosquito using Mid-Infrared Spectroscopy and Machine Learning

M. G. Foti, Martina Micocci, Mauro Pazmiño Betancourth…·Francesco Baldini

This paper develops a Mid-Infrared Spectroscopy and Machine Learning approach to age-grade Aedes albopictus mosquitoes, showing high accuracy in predicting age classes with minimal sampling.

3 citations

Arabidopsismachine learning (classical)

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