Search strategy formulation for systematic reviews: Issues, challenges and opportunities

Author:

MacFarlane AndrewORCID,Russell-Rose TonyORCID,Shokraneh FarhadORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference116 articles.

1. ACM. (2020). Artefact review and badging. Retrieved from https://www.acm.org/publications/policies/artifact-review-and-badging-current.

2. Alharbi, A., Briggs, W., & Stevenson, M. (2018). Retrieving and ranking studies for systematic reviews: University of Sheffield's approach to CLEF eHealth 2018 Task 2. In CEUR Workshop Proceedings (Vol. 2125). CEUR Workshop Proceedings. Retrieved from http://ceur-ws.org/Vol-2125/paper_169.pdf.

3. Alharbi, A., & Stevenson, M. (2019). Ranking studies for systematic reviews using query adaptation: University of Sheffield's approach to CLEF eHealth 2019 task 2 working notes for CLEF 2019. In Working Notes of CLEF 2019-Conference and Labs of the Evaluation Forum (Vol. 2380). CEUR Workshop Proceedings. Retrieved from http://ceur-ws.org/Vol-2380/paper_185.pdf.

4. Anagnostou, A., Lagopoulos, A., Tsoumakas, G., & Vlahavas, I. (2017). Hybridranksvm:A cost-effective hybrid ltr approach for document ranking. In: Working Notesof CLEF 2017 - Conference and Labs of the Evaluation forum, Dublin, Ireland,September 11-14, 2017. CEUR Workshop Proceedings, Retrieved from http://ceur-ws.org/Vol-1866/paper_89.pdf.

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