2 papers
q-bio.QM2023
Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes
Yaroslav Balytskyi, Nataliia Kalashnyk, Inna Hubenko +2
The combination of Deep Learning techniques and Raman spectroscopy shows great potential offering precise and prompt identification of pathogenic bacteria in clinical settings. How…
cs.LG2021
Raman spectroscopy in open world learning settings using the Objectosphere approach
Yaroslav Balytskyi, Justin Bendesky, Tristan Paul +2
Raman spectroscopy in combination with machine learning has significant promise for applications in clinical settings as a rapid, sensitive, and label-free identification method. T…