Rexplore Graph

The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.

Liu, H. and Hartnett, E. (2015). Exploring the Design of a Social Learning Platform for Supporting Users’ E-Teaching Skill Development. In: 2015 SAI Intelligent Systems Conference (IntelliSys), 10-11 Nov 2015, London, UK. https://oro.open.ac.uk/45334/.

Overell, S., Llorente, A., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rüger, S. (2008). MMIS at ImageCLEF 2008: experiments combining different evidence sources. In: CLEF workshop, 17-19 Sep 2008, Aarhus, Denmark. https://oro.open.ac.uk/36073/.

Liu, H., Macintyre, R. and Ferguson, R. (2012). Exploring qualitative analytics for e-mentoring relationships building in an online social learning environment. In: Second International Conference on Learning Analytics and Knowledge (LAK12), 29 Apr - 02 May 2012, Vancouver, Canada. https://oro.open.ac.uk/33632/.

Liu, H., Little, S. and Rüger, S. (2011). Multimedia: behaviour, interfaces and interaction. In: Ruthven, Ian and Kelly, Diane eds. Interactive information seeking, behaviour and retrieval. Facet publishing, pp. 221–234. https://oro.open.ac.uk/29239/.

Liu, H., Mulholland, P., Song, D., Uren, V. and Rüger, S. (2011). An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval. In: 17th International Conference on MultiMedia Modeling (MMM), Jan 2011, Taipei, Taiwan. https://oro.open.ac.uk/28199/.

Llorente, A., Overell, S., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rüger, S. (2009). Exploiting term co-occurrence for enhancing automated image annotation. In: Evaluating Systems for Multilingual and Multimodal Information Access, 9th Workshop of the Cross-Language Evaluation Forum, 17-19 Sep 2008, Aarhus, Denmark. https://oro.open.ac.uk/23514/.

Liu, H., Zagorac, S., Uren, V., Song, D. and Rüger, S. (2009). Enabling effective user interactions in content-based image retrieval. In: The 5th Asia Information Retrieval Symposium (AIRS2009), 21-23 Oct 2009, Sapporo, Hokkaido, Japan. https://oro.open.ac.uk/23840/.

Liu, H., Uren, V., Song, D. and Rüger, S. (2009). A four-factor user interaction model for content-based image retrieval. In: The 2nd International Conference on the Theory of Information Retrieval (ICTIR2009), 10-12 Sep 2009, Cambridge, UK. https://oro.open.ac.uk/23839/.

Hu, R., Rüger, S., Song, D. and Liu, H. (2008). Dissimilarity measures for content-based image retrieval. In: 2008 IEEE International Conference Multimedia and Expo, 23-26 Jun 2008, Hannover, Germany. https://oro.open.ac.uk/23807/.

Uren, V., Lei, Y., Lopez, V., Liu, H., Motta, E. and Giordanino, M. (2007). The usability of semantic search tools: a review. The Knowledge Engineering Review, 22(4), pp. 361–377. https://oro.open.ac.uk/23501/.

Liu, H. (2010). A framework for understanding user interaction with content-based image retrieval: model, interface and users. [Thesis] https://oro.open.ac.uk/23806/.

Liu, H., Mulholland, P., Song, D., Uren, V. and Rüger, S. (2010). Applying information foraging theory to understand user interaction with content-based image retrieval. In: The Information Interaction in Context Conference (IIiX 2010), 18-22 Aug 2010, New Brunswick, NJ, USA. https://oro.open.ac.uk/23502/.

Liu, H., Song, D., Rüger, S., Hu, R. and Uren, V. (2008). Comparing dissimilarity measures for content-based image retrieval. In: The 4th Asia Information Retrieval Symposium (AIRS2008), 15-18 Jan 2008, Harbin, China. https://oro.open.ac.uk/11962/.

View By

#kmiou on Bluesky

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team