| Concept drift robust adaptive novelty detection for data streams M Cejnek, I Bukovsky Neurocomputing 309, 46-53, 2018 | 38 | 2018 |
| A fast neural network approach to predict lung tumor motion during respiration for radiation therapy applications I Bukovsky, N Homma, K Ichiji, M Cejnek, M Slama, PM Benes, J Bila BioMed research international 2015, 2015 | 37 | 2015 |
| Novelty detection-based approach for Alzheimer’s disease and mild cognitive impairment diagnosis from EEG M Cejnek, O Vysata, M Valis, I Bukovsky Medical & Biological Engineering & Computing 59, 2287-2296, 2021 | 29 | 2021 |
| Learning entropy for novelty detection a cognitive approach for adaptive filters I Bukovsky, C Oswald, M Cejnek, PM Benes 2014 Sensor Signal Processing for Defence (SSPD), 1-5, 2014 | 16 | 2014 |
| Adaptive classification of eeg for dementia diagnosis M Cejnek, I Bukovsky, O Vysata 2015 International Workshop on Computational Intelligence for Multimedia …, 2015 | 13 | 2015 |
| Study of learning entropy for onset detection of epileptic seizures in EEG time series I Bukovsky, M Cejnek, J Vrba, N Homma 2016 International Joint Conference on Neural Networks (IJCNN), 3302-3305, 2016 | 9 | 2016 |
| A machine learning approach for gearbox system fault diagnosis J Vrba, M Cejnek, J Steinbach, Z Krbcova Entropy 23 (9), 1130, 2021 | 7 | 2021 |
| Another adaptive approach to novelty detection in time series M Cejnek, PM Benes, I Bukovsky Academy & Industry Research Collaboration Center (AIRCC), 341-351, 2014 | 7 | 2014 |
| Engineering psychology as a humanities for engineers J Jura, M Cejnek, P Trnka, M Cahyna 2021 23rd International Conference on Process Control (PC), 119-124, 2021 | 5 | 2021 |
| Machine vision object measurement in difficult industry environment M Cejnek, C Oswald 2019 Third World Conference on Smart Trends in Systems Security and …, 2019 | 5 | 2019 |
| Padasip-open source library for adaptive signal processing in language python M Cejnek Studentská tvůrčí činnost 4, 2017, 2017 | 5 | 2017 |
| Adaptive polynomial filters with individual learning rates for computationally efficient lung tumor motion prediction M Cejnek, I Bukovsky, N Homma, O Liska 2015 International Workshop on Computational Intelligence for Multimedia …, 2015 | 5 | 2015 |
| Neural network approach to railway stand lateral skew control PM Benes, I Bukovsky, M Cejnek, J Kalivoda arXiv preprint arXiv:1402.7136, 2014 | 5 | 2014 |
| Online data centering modifications for adaptive filtering with nlms algorithm M Cejnek, I Bukovsky 2016 International Joint Conference on Neural Networks (IJCNN), 1767-1771, 2016 | 4 | 2016 |
| Engineering Psychology J Jura, P Trnka, M Cejnek, L Reverdy Prague, Prague 2015, 2015 | 4 | 2015 |
| Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy I Bukovsky, N Homma, M Cejnek, K Ichiji 2014 International Joint Conference on Neural Networks (IJCNN), 3124-3129, 2014 | 4 | 2014 |
| Padasip: an open-source Python toolbox for adaptive filtering M Cejnek, J Vrba Journal of Computational Science 65, 101887, 2022 | 3 | 2022 |
| Influence of type and level of noise on the performance of an adaptive novelty detector M Cejnek, I Bukovsky 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive …, 2017 | 3 | 2017 |
| Novelty detection in system monitoring and control with honu C Oswald, M Cejnek, J Vrba, I Bukovsky Applied Artificial Higher Order Neural Networks for Control and Recognition …, 2016 | 3 | 2016 |
| Online centered NLMS algorithm for concept drift compensation M Cejnek, J Vrba Neural Network World 31 (5), 329, 2021 | 2 | 2021 |
