PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Gerla, Václav"

Author of the publication

copydeleteadd this publication to your clipboard
Binary social impact theory based optimization and its applications in pattern recognition.

, , , , , , , and . Neurocomputing, (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Rainer Gerlach University of Stuttgart

Dr. -Ing. Andre Gerlach University of Stuttgart

Paul-Christian Gerlach University of Stuttgart

Stefan Gerlach University of Stuttgart

 

Other publications of authors with the same name

Binary social impact theory based optimization and its applications in pattern recognition., , , , , , , and . Neurocomputing, (2014)Using Wavelet Transform for Feature Extraction from EEG Signal., , , , and . BIOSIGNALS (1), page 236-241. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)Riemannian Geometry in Sleep Stage Classification., , and . ITBAM, volume 10443 of Lecture Notes in Computer Science, page 92-99. Springer, (2017)An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry., , , , , and . Sensors, 19 (3): 602 (2019)Sleep spindles detection using Empirical Mode Decomposition., , , , and . IWCIM, page 1-5. IEEE, (2015)EEG Analysis of the Navigation Strategies in a 3D Tunnel Task., , and . ICONIP (1), volume 7062 of Lecture Notes in Computer Science, page 388-395. Springer, (2011)Multivariate Analysis of Full-Term Neonatal Polysomnographic Data., , , and . IEEE Trans. Information Technology in Biomedicine, 13 (1): 104-110 (2009)Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments., , , , and . BIBM, page 2621-2627. IEEE Computer Society, (2018)Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification., , and . BIBM, page 2249-2253. IEEE Computer Society, (2018)Neonatal EEG Sleep Stages Modelling by Temporal Profiles., , , , , and . EUROCAST, volume 4739 of Lecture Notes in Computer Science, page 195-201. Springer, (2007)