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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder

Lookup NU author(s): Dr Noura Al Moubayed, Dr Stephen McGough

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Springer, 2016.

For re-use rights please refer to the publisher's terms and conditions.


Publication metadata

Author(s): Al Moubayed N, Breckon T, Matthews P, McGough AS

Editor(s): Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 25th International Conference on Artificial Neural Networks (ICANN 2016)

Year of Conference: 2016

Pages: 423-430

Online publication date: 13/08/2016

Acceptance date: 25/07/2016

Date deposited: 29/09/2018

ISSN: 0302-9743

Publisher: Springer

URL: https://doi.org/10.1007/978-3-319-44781-0_50

DOI: 10.1007/978-3-319-44781-0_50

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783319447810


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