Elizaveta Saifutdinova

Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments

Lenka Lhotská, Martin Macas, Václav Gerla, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier

Lenka Lhotská, Martin Macas, Václav Gerla, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Representation of Joint Patterns in HD SEMG: A Case Study

Elizaveta Saifutdinova, Iva Milerska, Marek Jelínek, 2019, UCAmI.

Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness

Lenka Lhotská, Václav Gerla, Elizaveta Saifutdinova, 2017, Biomed. Signal Process. Control..

Improvement of Sleep Spindle Detection by Aggregation Techniques

Lenka Lhotska, Vaclav Gerla, Elizaveta Saifutdinova, 2019 .

Expert-in-the-loop Learning for Sleep EEG Data

Lenka Lhotská, Martin Macas, Václav Gerla, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Fully Unsupervised Clustering on Adaptively Segmented Long-term EEG Data

Vladimir Krajca, Lenka Lhotska, Michal Huptych, 2015 .

Hybrid Hierarchical Clustering Algorithm Used for Large Datasets: A Pilot Study on Long-Term Sleep Data

Vaclav Gerla, Elizaveta Saifutdinova, Martin Macas, 2017, BHI 2017.

An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry

Lenka Lhotská, Marco Congedo, Václav Gerla, 2019, Sensors.

Sleep spindles detection using Empirical Mode Decomposition

Lenka Lhotská, Václav Gerla, Elizaveta Saifutdinova, 2015, 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

Automatická detekce grafoelementů ve spánkovém EEG

Elizaveta Saifutdinova, 2019 .

Riemannian Geometry in Sleep Stage Classification

Lenka Lhotská, Václav Gerla, Elizaveta Saifutdinova, 2017, ITBAM.