A custom state LSTM cell for text classification tasks

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Haralabopoulos, G. orcid id iconORCID: https://orcid.org/0000-0002-2142-4975 and Anagnostopoulos, I. (2022) A custom state LSTM cell for text classification tasks. In: Iliadis, L., Jayne, C., Tefas, A. and Pimenidis, E. (eds.) Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science (1600). Springer, pp. 489-504. ISBN 9783031082221 doi: 10.1007/978-3-031-08223-8_40

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Item Type Book or Report Section
URI https://reading-clone.eprints-hosting.org/id/eprint/110967
Identification Number/DOI 10.1007/978-3-031-08223-8_40
Refereed Yes
Divisions Henley Business School > Digitalisation, Marketing and Entrepreneurship
Publisher Springer
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[thumbnail of Custom_State_LSTM_Cell_for_Text_Classification_Tasks(1).pdf]
Text - Accepted Version
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Restricted to Repository staff only
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