Matous Cejnek

According to our database, Matous Cejnek authored at least 12 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Padasip: An open-source Python toolbox for adaptive filtering.

Matous Cejnek, Jan Vrba

J. Comput. Sci., 2022

2021

Novelty detection-based approach for Alzheimer's disease and mild cognitive impairment diagnosis from EEG.

Matous Cejnek, Oldrich Vysata, Martin Valis, Ivo Bukovsky

Medical Biol. Eng. Comput., 2021

A Machine Learning Approach for Gearbox System Fault Diagnosis.

Jan Vrba, Matous Cejnek, Jakub Steinbach, Zuzana Krbcova

Entropy, 2021

2018

Concept drift robust adaptive novelty detection for data streams.

Matous Cejnek, Ivo Bukovsky

Neurocomputing, 2018

2017

Influence of type and level of noise on the performance of an adaptive novelty detector.

Matous Cejnek, Ivo Bukovsky

Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

2016

Online data centering modifications for adaptive filtering with NLMS algorithm.

Matous Cejnek, Ivo Bukovsky

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Study of Learning Entropy for onset detection of epileptic seizures in EEG time series.

Ivo Bukovsky, Matous Cejnek, Jan Vrba, Noriyasu Homma

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

V-shaped neurons in hidden layer of ANN universal approximator without flat domains.

Josef Bostik, Martin Klimt, Matej Mojzes, Jaromír Kukal, Ivo Bukovsky, Matous Cejnek

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Adaptive classification of EEG for dementia diagnosis.

Matous Cejnek, Ivo Bukovsky, Oldrich Vysata

Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015

Adaptive polynomial filters with individual learning rates for computationally efficient lung tumor motion prediction.

Matous Cejnek, Ivo Bukovsky, Noriyasu Homma, Ondrej Liska

Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015

2014

Neural Network Approach to Railway Stand Lateral Skew Control.

Peter Mark Benes, Ivo Bukovsky, Matous Cejnek, Jan Kalivoda

CoRR, 2014

Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy.

Ivo Bukovsky, Noriyasu Homma, Matous Cejnek, Kei Ichiji

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014