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1 Ergebnisse
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Improving LSTMs' under-performance in Authorship Attributio..:
, In:
Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference
,
Oliva, Christian
;
Palmero Muñoz, Santiago
;
Lago-Fernández, Luis F.
. - p. 99-101 , 2022
Link:
https://dl.acm.org/doi/10.1145/3528580.3532994
RT T1 <cTitle>Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference</cTitle>: T1 <Title>Improving LSTMs' under-performance in Authorship Attribution for short texts</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3532994&Exemplar=1&LAN=DE A1 Oliva, Christian A1 Palmero Muñoz, Santiago A1 Lago-Fernández, Luis F. A1 Arroyo, David PB ACM YR 2022 K1 Authorship Attribution K1 LSTM K1 Stylometry K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 99 OP 101 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3528580.3532994 DO https://dl.acm.org/doi/10.1145/3528580.3532994 SF ELIB - SuUB Bremen
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