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)

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)

Representation of Joint Patterns in HD SEMG: A Case Study. - Iva Milerská; Elizaveta Saifutdinová; Marek Jelínek; Lenka Lhotská (UCAmI, 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)