📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

C2DAN: An Improved Deep Adaptation Network with Domain Confusion and Classifier Adaptation. (2020)

First Author: Sun H

Attributed to: AUTOMAC: AUTOmated Mouse behAviour reCognition funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3390/s20123606

PubMed Identifier: 32604859

Publication URI: http://europepmc.org/abstract/MED/32604859

Type: Journal Article/Review

Volume: 20

Parent Publication: Sensors (Basel, Switzerland)

Issue: 12

ISSN: 1424-8220