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Tomilayo Komolafe

Biographic Data

ID1925987
NAMETomilayo Komolafe
GIVEN NAMESTomilayo
FAMILY NAMEKomolafe
SIGNATUREKOMOLAFE T
AFFILIATIONSVirginia Tech
ORCID0000-0002-2656-6390
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2019
H-INDEX0
  • Using medication administration and double-check data to infer social network influence in intensive care units

    Open Access•Allan Fong, Tomilayo Komolafe et al.•ARTICLE•Social Network Analysis and Mining•2019

  • Statistical evaluation of spectral methods for anomaly detection in static networks

    Open Access•Tomilayo Komolafe, Valeria Quevedo et al.•ARTICLE•Network Science•2019

    The topic of anomaly detection in networks has attracted a lot of attention in recent years, especially with the rise of connected devices and social networks. Anomaly detection spans a wide range of applications, from detecting terrorist cells in counter-terrorism efforts to identifying unexpected mutations during ribonucleic acid transcription. Fittingly, numerous algorithmic techniques for anomaly detection have been introduced. However, to da…

No prominent works on this page.

  • Using medication administration and double-check data to infer social network influence in intensive care units

    Open Access•Allan Fong, Tomilayo Komolafe et al.•ARTICLE•Social Network Analysis and Mining•2019

  • Statistical evaluation of spectral methods for anomaly detection in static networks

    Open Access•Tomilayo Komolafe, Valeria Quevedo et al.•ARTICLE•Network Science•2019

    The topic of anomaly detection in networks has attracted a lot of attention in recent years, especially with the rise of connected devices and social networks. Anomaly detection spans a wide range of applications, from detecting terrorist cells in counter-terrorism efforts to identifying unexpected mutations during ribonucleic acid transcription. Fittingly, numerous algorithmic techniques for anomaly detection have been introduced. However, to da…

Artificial Intelligence (2 works) · Computer Science (2 works) · Anomaly (physics (1 work) · Anomaly detection (1 work) · Anomaly Detection Techniques and Applications (1 work) · Binary number (1 work) · Complex Network Analysis Techniques (1 work) · Data mining (1 work) · Database (1 work) · Emergency and Acute Care Studies (1 work)

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