| 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 | 84 | 2017 |
| 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 | 56 | 2020 |
| 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 | 40 | 2021 |
| Benchmark classification dataset for laser-induced breakdown spectroscopy E Képeš, J Vrábel, S Střítežská, P Pořízka, J Kaiser Scientific data 7 (1), 53, 2020 | 26 | 2020 |
| 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 | 23 | 2020 |
| 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 | 19 | 2021 |
| Interpreting support vector machines applied in laser-induced breakdown spectroscopy E Képeš, J Vrábel, O Adamovsky, S Střítežská, P Modlitbová, P Pořízka, ... Analytica Chimica Acta 1192, 339352, 2022 | 16 | 2022 |
| 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 | 14 | 2019 |
| 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 | 10 | 2021 |
| 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 | 10 | 2019 |
| 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 | 9 | 2022 |
| 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 | 7 | 2023 |
| 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 | 5 | 2024 |
| 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 | 4 | 2022 |
| 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 | 2 | 2023 |
| 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 | 2 | 2023 |
| 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 | 2 | 2023 |
| Artificial neural networks for classification J Vrábel, E Képeš, P Pořízka, J Kaiser Chemometrics and Numerical Methods in LIBS, 213-240, 2022 | 2 | 2022 |
| 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 | 1 | 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 |
