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ORCIDVáclav Gerla
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2010 – 2019
- 2019
[j5]Iva Milerská, Václav Kremen
, Václav Gerla, Erik K. St Louis, Lenka Lhotská:
Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder. Biomed. Signal Process. Control. 51: 243-252 (2019)- [j4]Elizaveta Saifutdinová, Marco Congedo, Daniela Urbaczka Dudysova, Lenka Lhotská, Jana Koprivova, Václav Gerla:
An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry. Sensors 19(3): 602 (2019) - [c13]Martin Macas, Nela Grimová, Václav Gerla, Lenka Lhotská:
Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances. UCAmI 2019: 46 - 2018
- [c12]Nela Grimová, Martin Macas, Václav Gerla:
Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification. BIBM 2018: 2249-2253 - [c11]Václav Gerla, Václav Kremen, Martin Macas, Elizaveta Saifutdinová, Arnost Mládek, Lenka Lhotská:
Expert-in-the-loop Learning for Sleep EEG Data. BIBM 2018: 2590-2596 - [c10]Martin Macas, Nela Grimová, Václav Gerla, Lenka Lhotská, Elizaveta Saifutdinová:
Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments. BIBM 2018: 2621-2627 - [c9]Elizaveta Saifutdinová, Daniela Urbaczka Dudysova, Lenka Lhotská, Václav Gerla, Martin Macas:
Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier. BIBM 2018: 2803-2805 - 2017
- [j3]Václav Gerla, Václav Kremen, Naima Covassin, Lenka Lhotská, Elizaveta Saifutdinová, Jiri Bukartyk, Vladimír Marík, Virend K. Somers:
Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness. Biomed. Signal Process. Control. 31: 381-390 (2017) - [c8]Elizaveta Saifutdinová, Václav Gerla, Lenka Lhotská:
Riemannian Geometry in Sleep Stage Classification. ITBAM 2017: 92-99 - 2016
- [c7]Elizaveta Saifutdinová, Martin Macas, Václav Gerla, Lenka Lhotská:
Adaptive Segmentation Optimization for Sleep Spindle Detector. ITBAM 2016: 85-96 - 2015
- [c6]Elizaveta Saifutdinová, Václav Gerla, Lenka Lhotská, Jana Koprivova, P. Sos:
Sleep spindles detection using Empirical Mode Decomposition. IWCIM 2015: 1-5 - 2014
- [j2]Martin Macas, Amol P. Bhondekar, Ritesh Kumar, Rishemjit Kaur, Jakub Kuzilek, Václav Gerla, Lenka Lhotská, Pawan Kapur:
Binary social impact theory based optimization and its applications in pattern recognition. Neurocomputing 132: 85-96 (2014) - 2012
- [c5]Martin Macas, Václav Gerla, Lenka Lhotská:
Automatic Neonatal Sleep EEG Recognition with Social Impact Based Feature Selection. SOCO 2012: 389-398 - 2011
- [c4]Michal Vavrecka, Václav Gerla, Lenka Lhotská:
EEG Analysis of the Navigation Strategies in a 3D Tunnel Task. ICONIP (1) 2011: 388-395
2000 – 2009
- 2009
- [j1]Václav Gerla, Karel Paul, Lenka Lhotská, Vladimir Krajca:
Multivariate Analysis of Full-Term Neonatal Polysomnographic Data. IEEE Trans. Inf. Technol. Biomed. 13(1): 104-110 (2009) - [c3]Václav Gerla, Vladana Djordjevic, Lenka Lhotská, Vladimir Krajca:
System Approach to Complex Signal Processing Task. EUROCAST 2009: 579-586 - 2008
- [c2]Lenka Lhotská, Václav Gerla, Jiri Bukartyk, Vladimir Krajca, Svojmil Petránek:
Using Wavelet Transform for Feature Extraction from EEG Signal. BIOSIGNALS (1) 2008: 236-241 - 2007
- [c1]Vladimir Krajca, Svojmil Petránek, Jitka Mohylová, Karel Paul, Václav Gerla, Lenka Lhotská:
Neonatal EEG Sleep Stages Modelling by Temporal Profiles. EUROCAST 2007: 195-201
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