Vaclav Gerla

发表

Feature extraction and classification of EEG sleep recordings in newborns

Vladimir Krajca, Lenka Lhotska, Natasa Reljin, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

Active Learning for Semi-automated Sleep Scoring

Martin Macas, Vaclav Gerla, Nela Grimova, 2018 .

The Development of Modules for the Support of Education in the field of Biomedical Engineering

Vladimir Krajca, Lenka Lhotska, Michal Huptych, 2010 .

Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances

Lenka Lhotska, Vaclav Gerla, Nela Grimova, 2019, UCAmI.

PSGLab Matlab toolbox for polysomnographic data processing: Development and practical application

Vladimir Krajca, Lenka Lhotska, Vladana Djordjevic, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

Improvement of Sleep Spindle Detection by Aggregation Techniques

Lenka Lhotska, Vaclav Gerla, Elizaveta Saifutdinova, 2019 .

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

Vladimir Krajca, Lenka Lhotska, Michal Huptych, 2015 .

EEG Based Sleep Staging in Term Newborns

Vladimir Krajca, Lenka Lhotska, Vaclav Gerla, 2013 .

Feature Selection for Adults Sleep and Neonatal Polysomnographic Data

Vladimir Krajca, Lenka Lhotska, Vaclav Gerla, 2013 .

Gender ratio in Biomedical Engineering

Lenka Lhotska, Vladana Djordjevic, Vaclav Gerla, 2011, 2011 Proceedings of the 22nd EAEEIE Annual Conference (EAEEIE).

Detection of Sleep Stages in Temporal Profiles in Neonatal EEG—k-NN versus k-Means Approach: A Feasibility Study

Vladimir Krajca, Lenka Lhotska, Vaclav Gerla, 2018, IFMBE Proceedings.

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.

Multimedia support in the field of interdisciplinary education

Vladimir Krajca, Lenka Lhotska, Michal Huptych, 2009, 2009 EAEEIE Annual Conference.

EEG Data Mining Using PCA

Vladimir Krajca, Jitka Mohylová, Svojmil Petránek, 2009 .

A decision support tool in the field of electroencephalography

Vladimir Krajca, Lenka Lhotska, Vladana Djordjevic, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

An Incremental Approach to Clinical EEG Data Classification

Vladimir Krajca, Lenka Lhotska, Vaclav Kremen, 2015 .

Improvements in Processing of Neonatal Sleep Electroencephalographic Recordings

Vladimir Krajca, Lenka Lhotska, Vladana Djordjevic, 2009 .

Wards Clustering Method for Distinction between Neonatal Sleep Stages

Vladimir Krajca, Lenka Lhotska, Vladana Djordjevic, 2009 .

Visualization methods used for evaluation of neonatal polysomnographic data

Vladimir Krajca, Lenka Lhotska, Vladana Djordjevic, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

Modeling the Microstructure of Neonatal EEG Sleep Stages by Temporal Profiles

Vladimir Krajca, Jitka Mohylová, Svojmil Petránek, 2009 .

Multichannel Analysis of the Newborn EEG Data

Vladimir Krajca, Lenka Lhotska, Vaclav Gerla, .

Newborn Sleep Stage Classification Using Hybrid Evolutionary Approach

Vladimir Krajca, Lenka Lhotska, Vaclav Gerla, 2007 .