Matous Cejnek

14 papers B 6Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2024 B conf
Application of Deep Learning Models for Vocal Cords Detection in Laryngoscopic Imagery.
KES
Jan Vrba, Jakub Steinbach, Matous Cejnek, Tomás Jirsa, Zuzana Urbániová
2024 B conf
Comparative Analysis of YOLO-based Models for Vocal Cord Segmentation in Laryngoscopic Images.
KES
Jakub Steinbach, Jan Vrba, Tomás Jirsa, Matous Cejnek, Zuzana Urbániová
2022 J jnl
Padasip: An open-source Python toolbox for adaptive filtering.
J. Comput. Sci.
Matous Cejnek, Jan Vrba
2021 J jnl
A Machine Learning Approach for Gearbox System Fault Diagnosis.
Entropy
Jan Vrba, Matous Cejnek, Jakub Steinbach, Zuzana Krbcova
2021 J jnl
Novelty detection-based approach for Alzheimer's disease and mild cognitive impairment diagnosis from EEG.
Medical Biol. Eng. Comput.
Matous Cejnek, Oldrich Vysata, Martin Valis, Ivo Bukovsky
2018 J jnl
Concept drift robust adaptive novelty detection for data streams.
Neurocomputing
Matous Cejnek, Ivo Bukovsky
2017 — conf
Influence of type and level of noise on the performance of an adaptive novelty detector.
IEEE ICCI*CC
Matous Cejnek, Ivo Bukovsky
2016 B conf
Online data centering modifications for adaptive filtering with NLMS algorithm.
IJCNN
Matous Cejnek, Ivo Bukovsky
2016 B conf
Study of Learning Entropy for onset detection of epileptic seizures in EEG time series.
IJCNN
Ivo Bukovsky, Matous Cejnek, Jan Vrba, Noriyasu Homma
2016 B conf
V-shaped neurons in hidden layer of ANN universal approximator without flat domains.
IJCNN
Josef Bostik, Martin Klimt, Matej Mojzes, Jaromír Kukal, Ivo Bukovsky, Matous Cejnek
2015 — conf
Adaptive classification of EEG for dementia diagnosis.
IWCIM
Matous Cejnek, Ivo Bukovsky, Oldrich Vysata
2015 — conf
Adaptive polynomial filters with individual learning rates for computationally efficient lung tumor motion prediction.
IWCIM
Matous Cejnek, Ivo Bukovsky, Noriyasu Homma, Ondrej Liska
2014 J jnl
Neural Network Approach to Railway Stand Lateral Skew Control.
CoRR
Peter Mark Benes, Ivo Bukovsky, Matous Cejnek, Jan Kalivoda
2014 B conf
Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy.
IJCNN
Ivo Bukovsky, Noriyasu Homma, Matous Cejnek, Kei Ichiji