| On the utilization of principal component analysis in laser-induced breakdown spectroscopy data analysis, a review P Pořízka, J Klus, E Képeš, D Prochazka, DW Hahn, J Kaiser Spectrochimica Acta Part B: Atomic Spectroscopy 148, 65-82, 2018 | 213 | 2018 |
| 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 | 54 | 2020 |
| Laser-Induced Breakdown Spectroscopy coupled with chemometrics for the analysis of steel: The issue of spectral outliers filtering P Pořízka, J Klus, D Prochazka, E Képeš, A Hrdlička, J Novotný, ... Spectrochimica Acta Part B: Atomic Spectroscopy 123, 114-120, 2016 | 37 | 2016 |
| Benchmark classification dataset for laser-induced breakdown spectroscopy E Képeš, J Vrábel, S Střítežská, P Pořízka, J Kaiser Scientific data 7 (1), 53, 2020 | 24 | 2020 |
| Influence of baseline subtraction on laser-induced breakdown spectroscopic data E Képeš, P Pořízka, J Klus, P Modlitbová, J Kaiser Journal of Analytical Atomic Spectrometry 33 (12), 2107-2115, 2018 | 24 | 2018 |
| On the application of bootstrapping to laser-induced breakdown spectroscopy data E Képeš, P Pořízka, J Kaiser Journal of Analytical Atomic Spectrometry 34 (12), 2411-2419, 2019 | 17 | 2019 |
| 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 | 16 | 2022 |
| Tomography of double-pulse laser-induced plasmas in the orthogonal geometry E Képeš, I Gornushkin, P Pořízka, J Kaiser Analytica chimica acta 1135, 1-11, 2020 | 13 | 2020 |
| Spatiotemporal spectroscopic characterization of plasmas induced by non-orthogonal laser ablation E Képeš, I Gornushkin, P Pořízka, J Kaiser Analyst 146 (3), 920-929, 2021 | 12 | 2021 |
| 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 |
| 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 | 8 | 2022 |
| Mechanical and thermal design of the target neutral beam absorber for the High-Luminosity LHC upgrade P Santos Díaz, FS Galan, R De Maria, E Kepes, P Steinberg, R Longo, ... Physical Review Accelerators and Beams 25 (5), 053001, 2022 | 7 | 2022 |
| ANN-LIBS analysis of mixture plasmas: detection of xenon H Saeidfirozeh, AK Myakalwar, P Kubelík, A Ghaderi, V Laitl, L Petera, ... Journal of Analytical Atomic Spectrometry 37 (9), 1815-1823, 2022 | 6 | 2022 |
| 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 | 4 | 2024 |
| 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 | 4 | 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 |
| 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 | 1 | 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 | 1 | 2023 |
| 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 |
