Accessibility navigation

A custom state LSTM cell for text classification tasks

Haralabopoulos, G. ORCID: 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

[img] Text - Accepted Version
· Restricted to Repository staff only
· The Copyright of this document has not been checked yet. This may affect its availability.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1007/978-3-031-08223-8_40

Item Type:Book or Report Section
Divisions:Henley Business School > Business Informatics, Systems and Accounting
ID Code:110967

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation