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Jakub Vrábel
Jakub Vrábel
Verified email at ceitec.vutbr.cz
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Year
Impact of laser-induced breakdown spectroscopy data normalization on multivariate classification accuracy
P Pořízka, J Klus, A Hrdlička, J Vrábel, P Škarková, D Prochazka, ...
Journal of Analytical Atomic Spectrometry 32 (2), 277-288, 2017
842017
Classification of challenging Laser-Induced Breakdown Spectroscopy soil sample data-EMSLIBS contest
J Vrábel, E Képeš, L Duponchel, V Motto-Ros, C Fabre, S Connemann, ...
Spectrochimica Acta Part B: Atomic Spectroscopy 169, 105872, 2020
542020
Imaging margins of skin tumors using laser-induced breakdown spectroscopy and machine learning
K Kiss, A Šindelářová, L Krbal, V Stejskal, K Mrázová, J Vrábel, M Kaška, ...
Journal of Analytical Atomic Spectrometry 36 (5), 909-916, 2021
292021
Benchmark classification dataset for laser-induced breakdown spectroscopy
E Képeš, J Vrábel, S Střítežská, P Pořízka, J Kaiser
Scientific data 7 (1), 53, 2020
242020
Restricted Boltzmann Machine method for dimensionality reduction of large spectroscopic data
J Vrábel, P Pořízka, J Kaiser
Spectrochimica Acta Part B: Atomic Spectroscopy 167, 105849, 2020
222020
Interpreting support vector machines applied in laser-induced breakdown spectroscopy
E Képeš, J Vrabel, O Adamovsky, S Střítežská, P Modlitbova, P Pořízka, ...
Analytica Chimica Acta 1192, 339352, 2022
162022
Methodology for the implementation of internal standard to laser-induced breakdown spectroscopy analysis of soft tissues
A Šindelářová, P Pořízka, P Modlitbová, L Vrlíková, K Kiss, M Kaška, ...
Sensors 21 (3), 900, 2021
152021
Classification of materials for selective laser melting by laser-induced breakdown spectroscopy
J Vrábel, P Pořízka, J Klus, D Prochazka, J Novotný, D Koutný, ...
Chemical Papers 73, 2897-2905, 2019
112019
Addressing the sparsity of laser-induced breakdown spectroscopy data with randomized sparse principal component analysis
E Képeš, J Vrábel, P Pořízka, J Kaiser
Journal of Analytical Atomic Spectrometry 36 (7), 1410-1421, 2021
102021
Spatiotemporal diagnostics of laser induced plasma of potassium gallosilicate zeolite
JJ Camacho, J Vrabel, S Manzoor, LV Perez-Arribas, D Diaz, JO Caceres
Journal of Analytical Atomic Spectrometry 34 (6), 1247-1255, 2019
92019
Improving laser-induced breakdown spectroscopy regression models via transfer learning
E Képeš, J Vrábel, P Pořízka, J Kaiser
Journal of Analytical Atomic Spectrometry 37 (9), 1883-1893, 2022
72022
Interpreting convolutional neural network classifiers applied to laser-induced breakdown optical emission spectra
E Képeš, J Vrábel, T Brázdil, P Holub, P Pořízka, J Kaiser
Talanta 266, 124946, 2024
42024
Quantification of alloying elements in steel targets: The LIBS 2022 regression contest
E Képeš, J Vrábel, P Siozos, V Pinon, P Pavlidis, D Anglos, T Chen, L Sun, ...
Spectrochimica Acta Part B: Atomic Spectroscopy 206, 106710, 2023
42023
Analysis of Laser-Induced Breakdown Spectroscopy Data Acquired from Boundary of Two Matrices
D Holub, J Vrábel, P Pořízka, J Kaiser
Applied Spectroscopy 76 (8), 917-925, 2022
32022
Artificial neural networks for classification
J Vrábel, E Képeš, P Pořízka, J Kaiser
Chemometrics and Numerical Methods in LIBS, 213-240, 2022
22022
Chemometric Processing of LIBS Data
J El Haddad, A Harhira, E Képeš, J Vrábel, J Kaiser, P Pořízka
Laser Induced Breakdown Spectroscopy (LIBS) Concepts, Instrumentation, Data …, 2023
12023
Machine Learning in the Context of Laser‐Induced Breakdown Spectroscopy
E Képeš, J Vrábel, JE Haddad, A Harhira, P Pořízka, J Kaiser
Laser Induced Breakdown Spectroscopy (LIBS) Concepts, Instrumentation, Data …, 2023
12023
Spectral library transfer between distinct laser-induced breakdown spectroscopy systems trained on simultaneous measurements
J Vrábel, E Képeš, P Nedělník, J Buday, J Cempírek, P Pořízka, J Kaiser
Journal of Analytical Atomic Spectrometry 38 (4), 841-853, 2023
12023
Interpreting neural networks trained to predict plasma temperature from optical emission spectra
E Képeš, H Saeidfirozeh, V Laitl, J Vrábel, P Kubelík, P Pořízka, M Ferus, ...
Journal of Analytical Atomic Spectrometry 39 (4), 1160-1174, 2024
2024
Exploiting Sparsity in Artificial Neural Networks for Spectroscopic Data
J Vrabel, E Kepes, P Nedelnik, P Porizka, J Kaiser
APS March Meeting Abstracts 2023, D53. 009, 2023
2023
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