Region of interest detection using MLP

Kärkkäinen, Tommi; Maslov, Alexandr; Wartiainen, Pekka

dc.contributor.author	Kärkkäinen, Tommi
dc.contributor.author	Maslov, Alexandr
dc.contributor.author	Wartiainen, Pekka
dc.date.accessioned	2017-06-30T05:53:38Z
dc.date.available	2017-06-30T05:53:38Z
dc.date.issued	2014
dc.identifier.citation	Kärkkäinen, T., Maslov, A., & Wartiainen, P. (2014). Region of interest detection using MLP. In <i>22nd European Symposium on Artificial Neural Network, Computational Intelligence And Machine Learning (ESANN 2014), Bruges April 23-24-25, 2014</i>. ESANN. The European Symposium on Artificial Neural Networks. <a href="https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2014-69.pdf" target="_blank">https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2014-69.pdf</a>
dc.identifier.other	CONVID_23709095
dc.identifier.other	TUTKAID_62056
dc.identifier.uri	https://jyx.jyu.fi/handle/123456789/54757
dc.description.abstract	A novel technique to detect regions of interest in a time series as deviation from the characteristic behavior is proposed. The deterministic form of a signal is obtained using a reliably trained MLP neural network with detailed complexity management and cross-validation based generalization assurance. The proposed technique is demonstrated with simulated and real data.
dc.format.extent	730
dc.language.iso	eng
dc.publisher	ESANN
dc.relation.ispartof	22nd European Symposium on Artificial Neural Network, Computational Intelligence And Machine Learning (ESANN 2014), Bruges April 23-24-25, 2014
dc.relation.ispartofseries	The European Symposium on Artificial Neural Networks
dc.relation.uri	https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2014-69.pdf
dc.subject.other	MLP
dc.subject.other	neural networks
dc.title	Region of interest detection using MLP
dc.type	conferenceObject
dc.identifier.urn	URN:NBN:fi:jyu-201706283139
dc.contributor.laitos	Tietotekniikan laitos	fi
dc.contributor.laitos	Department of Mathematical Information Technology	en
dc.contributor.oppiaine	Tietotekniikka	fi
dc.contributor.oppiaine	Mathematical Information Technology	en
dc.type.uri	http://purl.org/eprint/type/ConferencePaper
dc.date.updated	2017-06-28T03:18:06Z
dc.relation.isbn	978-2-8741-9095-7
dc.type.coar	conference paper
dc.description.reviewstatus	peerReviewed
dc.type.version	publishedVersion
dc.rights.copyright	© the Authors, 2014.
dc.rights.accesslevel	openAccess	fi
dc.relation.conference	European symposium on artificial neural networks, computational intelligence and machine learning

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