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Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings
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$a Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings 215 $a 6 s. $c E 463 -1
$1 001 cav_un_epca*0536611 $1 011 $a 1613-0073 $1 200 1 $a Proceedings of the Workshop on Interactive Adaptive Learning $v S. 72-77 $1 210 $a Aachen $c Technical University & CreateSpace Independent Publishing $d 2020 $1 225 $a CEUR Workshop Proceedings $v 2660 $1 702 1 $a Kottke $b D. $4 340 $1 702 1 $a Krempl $b G. $4 340 $1 702 1 $a Lemaire $b V. $4 340 $1 702 1 $a Holzinger $b A. $4 340 $1 702 1 $a Calma $b A. $4 340 610 $a Active Learning 610 $a Anomaly detection 610 $a LSTM-Autoencoder 610 $a Time series 700 -1
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$3 cav_un_auth*0100761 $a Holeňa $b Martin $p UIVT-O $i Oddělení strojového učení $j Department of Machine Learning $w Department of Machine Learning $T Ústav informatiky AV ČR, v. v. i. 856 $u http://ceur-ws.org/Vol-2660/ialatecml_shortpaper1.pdf $9 RIV
Number of the records: 1