Participants

1 2 3 4 5 6
  • Artyushenko Viacheslav

    art photonics GbmH
    President
    Berlin, Germany
    • T23.

      Multi-spectral fiber spectroscopy methods for guided diagnostics of abdominal cancer

      abstract (474.9 KB)
  • Ashina Yulia

    Saint Petersburg State University
    Researcher
    Saint Petersburg, Russia
    • P11.

      Raman transduction for polymeric ISE membranes: feasibility study

      abstract (500.5 KB)
  • Bajusz Dávid

    Budapest, Hungary
    • T21.

      Large-scale comparison of similarity metrics for molecular and interaction fingerprints

      abstract (488.4 KB)
  • Balling Engelsen Søren

    University of Copenhagen
    Professor
    Copenhagen, Denmark
    • L03.

      Single kernel spectroscopy. Motivations, practicality and new technology

      abstract (481.0 KB)
  • Belikova Valeria

    Samara State Technical University
    PhD student
    Samara, Russia
    • T20.

      Distance estimation between objects in spectral data analysis

      abstract (469.8 KB)
    • T15.

      Multi-mode fiber spectroscopy for cancer diagnostics (Coauthor)

    • T23.

      Multi-spectral fiber spectroscopy methods for guided diagnostics of abdominal cancer (Coauthor)

  • Bogomolov Andrey

    Blue Ocean Nova
    Chemometriician
    Aalen, Germany
    • T14.

      Optical multisensor systems

      abstract (460.4 KB)
    • T15.

      Multi-mode fiber spectroscopy for cancer diagnostics (Coauthor)

    • T20.

      Distance estimation between objects in spectral data analysis (Coauthor)

    • T23.

      Multi-spectral fiber spectroscopy methods for guided diagnostics of abdominal cancer (Coauthor)

  • Burmistrova Natalia

    Saratov State University
    Professor
    Saratov, Russia
    • P07.

      Chemometrics assisted spectroscopic determination of aloin in plant materials

      abstract (475.7 KB)
  • Dörgő Gyula

    University of Pannonia
    PhD student
    Veszprém, Hungary
    • T10.

      Multivariate statistical models and Bayes chain rule-based analysis of sequence to sequence deep learning models

      abstract (364.3 KB)
  • Esbensen Kim

    KHE Consulting
    Professor
    Copenhagen, Denmark
    • L06.

      MSPC is not enough for proper process monitoring and control — chemometrics can do better: TOS variography

      abstract (479.6 KB)
  • Galkin Evgenii

    CSort, Ltd.
    Head of R&D department
    Barnaul, Russia