Neonatal EEG Sleep Stages Modelling by Temporal Profiles. - Vladimir Krajca; Svojmil Petránek; Jitka Mohylová; Karel Paul; Václav Gerla; Lenka Lhotská (EUROCAST, 2007)

Using Wavelet Transform for Feature Extraction from EEG Signal. - Lenka Lhotská; Václav Gerla; Jiri Bukartyk; Vladimir Krajca; Svojmil Petránek (BIOSIGNALS (1), 2008)

System Approach to Complex Signal Processing Task. - Václav Gerla; Vladana Djordjevic; Lenka Lhotská; Vladimir Krajca (EUROCAST, 2009)

Multivariate Analysis of Full-Term Neonatal Polysomnographic Data. - Václav Gerla; Karel Paul; Lenka Lhotská; Vladimir Krajca (IEEE Trans. Inf. Technol. Biomed., 2009)

EEG Analysis of the Navigation Strategies in a 3D Tunnel Task. - Michal Vavrecka; Václav Gerla; Lenka Lhotská (ICONIP (1), 2011)

Automatic Neonatal Sleep EEG Recognition with Social Impact Based Feature Selection. - Martin Macas; Václav Gerla; Lenka Lhotská (SOCO, 2012)

Binary social impact theory based optimization and its applications in pattern recognition. - Martin Macas; Amol P. Bhondekar; Ritesh Kumar 001; Rishemjit Kaur; Jakub Kuzilek; Václav Gerla; Lenka Lhotská; Pawan Kapur (Neurocomputing, 2014)

Sleep spindles detection using Empirical Mode Decomposition. - Elizaveta Saifutdinová; Václav Gerla; Lenka Lhotská; Jana Koprivova; P. Sos (IWCIM, 2015)

Adaptive Segmentation Optimization for Sleep Spindle Detector. - Elizaveta Saifutdinová; Martin Macas; Václav Gerla; Lenka Lhotská (ITBAM, 2016)

Riemannian Geometry in Sleep Stage Classification. - Elizaveta Saifutdinová; Václav Gerla; Lenka Lhotská (ITBAM, 2017)

Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness. - Václav Gerla; Václav Kremen; Naima Covassin; Lenka Lhotská; Elizaveta Saifutdinová; Jiri Bukartyk; Vladimír Marík; Virend K. Somers (Biomed. Signal Process. Control., 2017)

Expert-in-the-loop Learning for Sleep EEG Data. - Václav Gerla; Václav Kremen; Martin Macas; Elizaveta Saifutdinová; Arnost Mládek; Lenka Lhotská (BIBM, 2018)

Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification. - Nela Grimová; Martin Macas; Václav Gerla (BIBM, 2018)

Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments. - Martin Macas; Nela Grimová; Václav Gerla; Lenka Lhotská; Elizaveta Saifutdinová (BIBM, 2018)

Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier. - Elizaveta Saifutdinová; Daniela Urbaczka Dudysova; Lenka Lhotská; Václav Gerla; Martin Macas (BIBM, 2018)

Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances. - Martin Macas; Nela Grimová; Václav Gerla; Lenka Lhotská (UCAmI, 2019)

Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder. - Iva Milerská; Václav Kremen; Václav Gerla; Erik K. St Louis; Lenka Lhotská (Biomed. Signal Process. Control., 2019)

An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry. - Elizaveta Saifutdinová; Marco Congedo; Daniela Urbaczka Dudysova; Lenka Lhotská; Jana Koprivova; Václav Gerla (Sensors, 2019)