Projects funded by the NCN


Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Improving computational strategies based on hybrid likelihood ratio models in the analysis of the similarity of two-dimensional signals recorded in hyphenated analytical techniques

2019/35/D/ST4/00933

Keywords:

likelihood ratio chemometrics hyphenated analytical techniques multiway data samples similarity

Descriptors:

  • ST4_005:
  • ST4_002:
  • ST4_006:

Panel:

ST4 - Chemistry: physical chemistry/chemical physics, theoretical chemistry, analytical chemistry, inorganic chemistry, organic chemistry, method development

Host institution :

Uniwersytet Śląski w Katowicach, Wydział Nauk Ścisłych i Technicznych

woj. śląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Agnieszka Maria Martyna 

Number of co-investigators in the project: 4

Call: SONATA 15 - announced on 2019-09-16

Amount awarded: 407 327 PLN

Project start date (Y-m-d): 2020-11-18

Project end date (Y-m-d): 2025-11-17

Project duration:: 60 months (the same as in the proposal)

Project status: Pending project

Project description

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Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (2)
  1. Likelihood ratio-based probabilistic classifier
    Authors:
    Agnieszka Martyna, Anders Nordgaard
    Academic press:
    Chemometrics and Intelligent Laboratory Systems (rok: 2023, tom: 240, strony: 104862), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.chemolab.2023.104862 - link to the publication
  2. Likelihood ratio-based probabilistic classifier
    Authors:
    Agnieszka Martyna, Anders Nordgaard
    Academic press:
    Chemometrics and Intelligent Laboratory Systems (rok: 2023, tom: 240, strony: 104862), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.chemolab.2023.104862 - link to the publication