Matous Cejnek

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 8

Top Topics

Motion Prediction

Computationally Efficient

High Speed Data Streams

Adaptive Filter

Top Venues

J. Comput. Sci.

Publications

Matous Cejnek, Jan Vrba
Padasip: An open-source Python toolbox for adaptive filtering. J. Comput. Sci. 65 (2022)
Matous Cejnek, Oldrich Vysata, Martin Valis, Ivo Bukovsky
Novelty detection-based approach for Alzheimer's disease and mild cognitive impairment diagnosis from EEG. Medical Biol. Eng. Comput. 59 (11) (2021)
Jan Vrba, Matous Cejnek, Jakub Steinbach, Zuzana Krbcova
A Machine Learning Approach for Gearbox System Fault Diagnosis. Entropy 23 (9) (2021)
Matous Cejnek, Ivo Bukovsky
Concept drift robust adaptive novelty detection for data streams. Neurocomputing 309 (2018)
Matous Cejnek, Ivo Bukovsky
Influence of type and level of noise on the performance of an adaptive novelty detector. IEEE ICCI*CC (2017)
Josef Bostik, Martin Klimt, Matej Mojzes, Jaromír Kukal, Ivo Bukovsky, Matous Cejnek
V-shaped neurons in hidden layer of ANN universal approximator without flat domains. IJCNN (2016)
Matous Cejnek, Ivo Bukovsky
Online data centering modifications for adaptive filtering with NLMS algorithm. IJCNN (2016)
Ivo Bukovsky, Matous Cejnek, Jan Vrba, Noriyasu Homma
Study of Learning Entropy for onset detection of epileptic seizures in EEG time series. IJCNN (2016)
Matous Cejnek, Ivo Bukovsky, Noriyasu Homma, Ondrej Liska
Adaptive polynomial filters with individual learning rates for computationally efficient lung tumor motion prediction. IWCIM (2015)
Matous Cejnek, Ivo Bukovsky, Oldrich Vysata
Adaptive classification of EEG for dementia diagnosis. IWCIM (2015)
Peter Mark Benes, Ivo Bukovsky, Matous Cejnek, Jan Kalivoda
Neural Network Approach to Railway Stand Lateral Skew Control. CoRR (2014)
Ivo Bukovsky, Noriyasu Homma, Matous Cejnek, Kei Ichiji
Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy. IJCNN (2014)