Publications

• 2024

  Kepes, E.; Vrábel, J.; Brázdil, T.; Holub, P.; Porízka, P.; Kaiser, J. Interpreting convolutional neural network classifiers applied to laser-induced breakdown optical emission spectra. TALANTA, 2024, vol. 266, no. 1, ISSN: 1873-3573.
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  KÉPEŠ, E.; SAEIDFIROUZEH, H.; LAITL, V.; VRÁBEL, J.; KUBELÍK, P.; POŘÍZKA, P.; FERUS, M.; KAISER, J. Interpreting neural networks trained to predict plasma temperature from optical emission spectra. Journal of Analytical Atomic Spectrometry, 2024, vol. 39, no. 4, p. 1160-1174. ISSN: 1364-5544.
  Detail | WWW | Full text in the Digital Library

  SAEIDFIROUZEH, H.; KUBELÍK, P.; LAITL, V.; KŘIVKOVÁ, A.; VRÁBEL, J.; RAMMELKAMP, K.; SCHRÖDER, S.; GORNUSHKIN, I.; KÉPEŠ, E.; ŽABKA, J.; FERUS, M.; POŘÍZKA, P.; KAISER, J. Laser-induced breakdown spectroscopy in space applications: Review and prospects. TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2024, vol. 181, no. B, p. 1-22. ISSN: 1879-3142.
  Detail | WWW | Full text in the Digital Library

• 2023

  VRÁBEL, J.; KÉPEŠ, E.; NEDĚLNÍK, P.; BUDAY, J.; CEMPÍREK, J.; POŘÍZKA, P.; KAISER, J. Spectral library transfer between distinct Laser-Induced Breakdown Spectroscopy systems trained on simultaneous measurements. Journal of Analytical Atomic Spectrometry, 2023, vol. 38, no. 4, p. 841-853. ISSN: 1364-5544.
  Detail | WWW | Full text in the Digital Library

  KÉPEŠ, E.; VRÁBEL, J.; KAŇA, V.; ZÁDĚRA, A.; DE GIACOMO, A.; POŘÍZKA, P.; KAISER, J. Quantification of alloying elements in steel targets: The LIBS 2022 regression contest. Spectrochimica Acta Part B, 2023, vol. 206, no. 106710, ISSN: 0584-8547.
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• 2022

  KÉPEŠ, E.; VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Transfer learning as a potential tool for improving LIBS analytical performance for space exploration. 2022.
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  KÉPEŠ, E.; VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Transfer learning for improved LIBS analytical performance. 2022.
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  VRÁBEL, J.; KÉPEŠ, E.; POŘÍZKA, P.; KAISER, J. Towards interpretability of ANNs for spectroscopic data: inductive bias, lottery tickets, and input optimization. 2022.
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  VRÁBEL, J.; KÉPEŠ, E.; POŘÍZKA, P.; KAISER, J. Distance of Spectroscopic Data. 2022.
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  KÉPEŠ, E.; VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Interpreting artificial neural networks used in LIBS. 2022.
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  VRÁBEL, J.; KÉPEŠ, E.; NEDĚLNÍK, P.; POŘÍZKA, P.; KAISER, J. Spectra transfer between distinct LIBS systems using shared standards and machine learning. 2022.
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  BUDAY, J.; POŘÍZKA, P.; KAISER, J.; VRÁBEL, J.; CEMPÍREK, J. Large-area multi-element LIBS mapping – versatile tool for petrogenetic research of rare-element pegmatites. Abstract Books. Bulgaria: GEOLOGICA BALCANICA, 2022. ISBN: 978-619-91305-4-4.
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  BUDAY, J.; KAISER, J.; POŘÍZKA, P.; VRÁBEL, J.; CEMPÍREK, J. Large scale multi-element imaging of geological samples using LIBS. 2022.
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  HOLUB, D.; VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Analysis of Laser Induced Breakdown Spectroscopy Data Acquired from the Boundary of Two Matrices. APPLIED SPECTROSCOPY, 2022, vol. 76, no. 8, p. 917-925. ISSN: 0003-7028.
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  CEMPÍREK, J.; BUDAY, J.; VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Tracing post-magmatic processes using large-area multi-element LIBS mapping. 2022.
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  KÉPEŠ, E.; VRÁBEL, J.; ADAMOVSKÝ, O.; STŘÍTEŽSKÁ, S.; MODLITBOVÁ, P.; POŘÍZKA, P.; KAISER, J. Interpreting support vector machines applied in laser-induced breakdown spectroscopy. Analytica Chimica Acta, 2022, vol. 1192, no. 339352, p. 1-12. ISSN: 1873-4324.
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  VRÁBEL, J.; KÉPEŠ, E.; POŘÍZKA, P.; KAISER, J. Artificial Neural Networks for Classification. In Chemometrics and Numerical Methods in LIBS. 1. 2022. p. 213-240. ISBN: 978-1-119-75958-4.
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  KÉPEŠ, E.; VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Improving laser-induced breakdown spectroscopy regression models via transfer learning. Journal of Analytical Atomic Spectrometry, 2022, vol. 37, no. 9, p. 1883-1893. ISSN: 1364-5544.
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• 2021

  HOLUB, D.; VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Analýza dat získaných metodou LIBS z pomezí dvou matric. 2021.
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  VRÁBEL, J. Physics-informed ML models for processing of spectroscopic data. 2021.
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  KÉPEŠ, E.; VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Opening black-box models used in LIBS. 2021.
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  VRÁBEL, J.; KÉPEŠ, E.; POŘÍZKA, P.; KAISER, J. Physics-informed ML models for processing of spectroscopic data. 2021.
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  KISS, K.; ŠINDELÁŘOVÁ, A.; KRBAL, L.; STEJSKAL, V.; MRÁZOVÁ, K.; VRÁBEL, J.; KAŠKA, M.; MODLITBOVÁ, P.; POŘÍZKA, P.; KAISER, J. Imaging margins of skin tumors using laser-induced breakdown spectroscopy and machine learning. Journal of Analytical Atomic Spectrometry, 2021, vol. 36, no. 5, p. 909-916. ISSN: 1364-5544.
  Detail | WWW | Full text in the Digital Library

  KÉPEŠ, E.; VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Addressing the sparsity of laser-induced breakdown spectroscopy data with randomized sparse principal component analysis. Journal of Analytical Atomic Spectrometry, 2021, vol. 36, no. 6, p. 1410-1421. ISSN: 1364-5544.
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  ŠINDELÁŘOVÁ, A.; POŘÍZKA, P.; MODLITBOVÁ, P.; VRLÍKOVÁ, L.; KISS, K.; KAŠKA, M.; PROCHAZKA, D.; VRÁBEL, J.; BUCHTOVÁ, M.; KAISER, J. Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues. SENSORS, 2021, vol. 21, no. 3, p. 1-13. ISSN: 1424-8220.
  Detail | WWW | Full text in the Digital Library

  VRÁBEL, J.; KÉPEŠ, E.; POŘÍZKA, P.; KAISER, J. Artificial neural network weights penalization and initialization for spectroscopic data. 2021.
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• 2020

  POŘÍZKA, P.; VRÁBEL, J.; KÉPEŠ, E.; KAISER, J. Benchmarking in Laser-Induced Breakdown Spectroscopy. 2020.
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  VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Restricted Boltzmann Machine method for dimensionality reduction of large spectroscopic data. Spectrochimica Acta Part B, 2020, vol. 167, no. 105849, p. NA (NA p.)ISSN: 0584-8547.
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  POŘÍZKA, P.; VRÁBEL, J.; KÉPEŠ, E.; KAISER, J. Benchmarking in Laser-Induced Breakdown Spectroscopy. Tucson, Arizona: 2020. p. 241-242.
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  KÉPEŠ, E.; VRÁBEL, J.; STŘÍTEŽSKÁ, S.; POŘÍZKA, P.; KAISER, J. Benchmark classification dataset for laser-induced breakdown spectroscopy. Scientific data, 2020, vol. 7, no. 1, p. 1-4. ISSN: 2052-4463.
  Detail | WWW | Full text in the Digital Library

  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. Classification of challenging LIBS soil sample data - EMSLIBS contest. Spectrochimica Acta Part B, 2020, vol. 169, no. 105872, p. 1-12. ISSN: 0584-8547.
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• 2019

  POŘÍZKA, P.; KAISER, J.; VRÁBEL, J.; SALAJKOVÁ, Z.; MODLITBOVÁ, P. EMSLIBS 2019 symposium booklet. Ke Karlovu 2027/3, 120 00 Praha 2 - Nové Město, Czech Republic: Spektroskopická společnost Jana Marka Marci, 2019.
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  CAMACHO, J.; VRÁBEL, J.; MANZOOR, S.; PÉREZ-ARRIBAS, L.; DELGADO DÍAZ, S.; CÁCERES, J. Spatiotemporal diagnostics of laser induced plasma of potassium gallosilicate zeolite. Journal of Analytical Atomic Spectrometry, 2019, vol. 6, no. 34, p. 1247-1255. ISSN: 1364-5544.
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  POŘÍZKA, P.; MODLITBOVÁ, P.; KÉPEŠ, E.; VRÁBEL, J.; PROCHAZKA, D.; KAISER, J. On the processing of big laser spectroscopy data; the issue of dimensionality reduction. 2019. p. 126-126.
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  VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Restricted Boltzmann Machine Method for Dimensionality Reduction of Spectroscopic Data. EMSLIBS 2019 Book of abstracts. Ke Karlovu 2027/3, 120 00 Praha 2 - Nové Město: Spektroskopická společnost Jana Marka Marci, 2019. ISBN: 978-80-88195-13-9.
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  VRÁBEL, J.; POŘÍZKA, P.; KLUS, J.; PROCHAZKA, D.; NOVOTNÝ, J.; KOUTNÝ, D.; PALOUŠEK, D.; KAISER, J. Classification of materials for selective laser melting by laser-induced breakdown spectroscopy. Chemical Papers, 2019, vol. 1, no. 10, p. 2897-2905. ISSN: 1336-9075.
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• 2018

  POŘÍZKA, P.; KLUS, J.; PROCHAZKA, D.; VRÁBEL, J.; KÉPEŠ, E.; MODLITBOVÁ, P.; KAISER, J. Processing of large-scale laser spectroscopy data. 2018.
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• 2017

  POŘÍZKA, P.; KLUS, J.; HRDLIČKA, A.; VRÁBEL, J.; ŠKARKOVÁ, P.; PROCHAZKA, D.; NOVOTNÝ, J.; NOVOTNÝ, K.; KAISER, J. Impact of Laser-Induced Breakdown Spectroscopy data normalization on multivariate classification accuracy. Journal of Analytical Atomic Spectrometry, 2017, vol. 32, no. 2, p. 277-288. ISSN: 1364-5544.
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