Applying depthwise separable and multi-channel convolutional neural networks of varied kernel size on semantic trajectories
Crossref DOI link: https://doi.org/10.1007/s00521-019-04603-0
Published Online: 2019-11-18
Published Print: 2020-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Karatzoglou, Antonios http://orcid.org/0000-0002-7939-1408
Schnell, Nikolai
Beigl, Michael
Text and Data Mining valid from 2019-11-18
Version of Record valid from 2019-11-18
Article History
Received: 19 February 2019
Accepted: 8 November 2019
First Online: 18 November 2019
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.