Detail publikace

Classification of challenging LIBS soil sample data - EMSLIBS contest

Vrábel, J. Képeš, E. Duponchel, L. Motto-Ros, V. Fabre, C. Connemann, S. Schreckenberg, F. Riebe, D. Junjuri, R. Gundawar, M.K. Tan, X. Pořízka, P. Kaiser, J.

Originální název

Classification of challenging LIBS soil sample data - EMSLIBS contest

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

We present results of the classification contest organized for the EMSLIBS 2019 conference. For this publication, we chose only the five best approaches and discussed their algorithm in detail. The main focus of the contest reflected both recent and long-term challenges of Laser-Induced Breakdown Spectroscopy (LIBS) data processing. The contest was designed with a purpose to raise a challenge in handling and processing a very large dataset, containing high-dimensional elemental spectra. For the contest, 138 samples were measured using a lab-based LIBS system. In total, the data set consisted of 70,000 spectra, separated into 12 classes according to their elemental composition. Due to its extensivity and complexity, the data set is unique within the LIBS community. The central idea was to simulate the so-called “out-of-sample” classification (i.e. according to similar elemental composition), implying various real-world applications. Even more, it reflects the current level of expertise in the LIBS community and the capability of the LIBS method itself.

Klíčová slova

EMSLIBS contest; Chemometrics; Laser-induced breakdown spectroscopy (LIBS); Machine learning; Classification benchmark

Autoři

Vrábel, J.; Képeš, E.; Duponchel, L.; Motto-Ros, V.; Fabre, C.; Connemann, S.; Schreckenberg, F.; Riebe, D.; Junjuri, R.; Gundawar, M.K.; Tan, X.; Pořízka, P.; Kaiser, J.

Vydáno

1. 7. 2020

Nakladatel

Elsevier

ISSN

0584-8547

Periodikum

Spectrochimica Acta Part B

Ročník

169

Číslo

105872

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

12

Strany počet

12

URL

https://www.sciencedirect.com/science/article/pii/S0584854720300422

BibTex

@article{BUT163914,
  author="Vrábel, J. and Képeš, E. and Duponchel, L. and Motto-Ros, V. and Fabre, C. and Connemann, S. and Schreckenberg, F. and Riebe, D. and Junjuri, R. and Gundawar, M.K. and Tan, X. and Pořízka, P. and Kaiser, J.",
  title="Classification of challenging LIBS soil sample data - EMSLIBS contest",
  journal="Spectrochimica Acta Part B",
  year="2020",
  volume="169",
  number="105872",
  pages="1--12",
  doi="10.1016/j.sab.2020.105872",
  issn="0584-8547",
  url="https://www.sciencedirect.com/science/article/pii/S0584854720300422"
}