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Francesca Magistro

Biographic Data

ID1992745
NAMEFrancesca Magistro
GIVEN NAMESFrancesca
FAMILY NAMEMagistro
SIGNATUREMAGISTRO F
AFFILIATIONSUniversity of Messina
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS4
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Machine learning and deep learning applied to EEG and fNirs for early autism spectrum disorder diagnosis

    Open Access•Andrea De Giacomo, Roberta Palmieri et al.•ARTICLE•Frontiers in Psychiatry•2026

    The results demonstrated the potential of DL and ML algorithms applied to EEG and fNIRS signals for early ASD assessment, supporting the development of personalized intervention strategies grounded in robust neurophysiological evidence

  • Confocal Raman spectroscopic study of painted medieval manuscripts

    Open Access•Francesca Magistro, Domenico Majolino et al.•ARTICLE•Journal of Cultural Heritage•2001•Cited by: 4•References: 3

  • Confocal Raman spectroscopic study of painted medieval manuscripts

    Open Access•Francesca Magistro, Domenico Majolino et al.•ARTICLE•Journal of Cultural Heritage•2001•Cited by: 4•References: 3

  • Confocal Raman spectroscopic study of painted medieval manuscripts

    Open Access•Francesca Magistro, Domenico Majolino et al.•ARTICLE•Journal of Cultural Heritage•2001•Cited by: 4•References: 3

  • Machine learning and deep learning applied to EEG and fNirs for early autism spectrum disorder diagnosis

    Open Access•Andrea De Giacomo, Roberta Palmieri et al.•ARTICLE•Frontiers in Psychiatry•2026

    The results demonstrated the potential of DL and ML algorithms applied to EEG and fNIRS signals for early ASD assessment, supporting the development of personalized intervention strategies grounded in robust neurophysiological evidence

Archaeology (1 work) · Art (1 work) · Art history (1 work) · Autism (1 work) · Autism spectrum disorder (1 work) · Autism Spectrum Disorder Research (1 work) · Chemistry (1 work) · Confocal (1 work) · Cultural Heritage Materials Analysis (1 work) · Deep learning (1 work)

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