City Research Online

Items where Author is "Russell-Rose, T."

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Number of items: 9.

Article

Sundar, A., Russell-Rose, T. ORCID: 0000-0003-4394-9876, Kruschwitz, U. & Machleit, K. (2024). The AI Interface: Designing for the Ideal Machine-Human Experience. Computers in Human Behavior, article number 108539. doi: 10.1016/j.chb.2024.108539

Svarre, T. & Russell-Rose, T. ORCID: 0000-0003-4394-9876 (2024). An evaluation of a visual interface for supporting query formulation in scholarly searching. Journal of Librarianship and Information Science, doi: 10.1177/09610006241291603

Svarre, T. & Russell-Rose, T. ORCID: 0000-0003-4394-9876 (2022). Think outside the search box: A comparative study of visual and form-based query builders. Journal of Information Science, doi: 10.1177/01655515221138536

MacFarlane, A. ORCID: 0000-0002-8057-0737, Russell-Rose, T. & Shokraneh, F. (2022). Search Strategy Formulation for Systematic Reviews: issues, challenges and opportunities. Intelligent Systems with Applications, 15, article number 200091. doi: 10.1016/j.iswa.2022.200091

Russell-Rose, T. ORCID: 0000-0003-4394-9876, Gooch, P. & Kruschwitz, U. (2021). Interactive query expansion for professional search applications. Business Information Review, 38(3), pp. 127-137. doi: 10.1177/02663821211034079

Russell-Rose, T., Lamantia, J. & Makri, S. (2014). Defining and applying a language for discovery. Lecture Notes in Computer Science, 8382, pp. 3-28. doi: 10.1007/978-3-319-12093-5_1

Book Section

Georgiou, D., MacFarlane, A. & Russell-Rose, T. (2015). Extracting Sentiment from Healthcare Survey Data: An Evaluation of Sentiment Analysis Tools. In: 2015 Science and Information Conference (SAI). . IEEE. doi: 10.1109/SAI.2015.7237168

Conference or Workshop Item

Hussain, S., Khattak, A. S., Abbasi, R. A. , Russell-Rose, T. ORCID: 0000-0003-4394-9876 & Chinthalapati, V. L. R. (2024). Identification of Targets in Disinformation News Articles Using Supervised Machine Learning. Paper presented at the 20th International Conference, ADMA 2024, 3-5 Dec 2024, Sydney, NSW, Australia. doi: 10.1007/978-981-96-0847-8_15

Russell-Rose, T. & MacFarlane, A. ORCID: 0000-0002-8057-0737 (2020). Towards Explainability in Professional Search. Paper presented at the The 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2020), 30 July 2020, Xi'an, China.

This list was generated on Wed Dec 25 04:30:37 2024 UTC.