29 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Abdul Wali Khan University MardanPK5 papers
- Hubei University of Automotive TechnologyCN4 papers
- Prince Sultan UniversitySA3 papers
- University of SheffieldGB3 papers
- Amazon (United States)US2 papers
- Chouaib Doukkali UniversityMA2 papers
- George Washington UniversityUS2 papers
- Heriot-Watt UniversityGB2 papers
- Islamia University of BahawalpurPK2 papers
- King Khalid UniversitySA2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Maxwell Institute for Mathematical SciencesGB2 papers
3 papers · 1 filter
A Generalised and Adaptable Reinforcement Learning Stopping Method
Reem Bin-Hezam, Mark Stevenson
This paper presents a Technology Assisted Review (TAR) stopping approach based on Reinforcement Learning (RL). Previous such approaches offered limited control over stopping behavi…
RLStop: A Reinforcement Learning Stopping Method for TAR
Reem Bin-Hezam, Mark Stevenson
We present RLStop, a novel Technology Assisted Review (TAR) stopping rule based on reinforcement learning that helps minimise the number of documents that need to be manually revie…
Stopping Methods for Technology Assisted Reviews based on Point Processes
Mark Stevenson, Reem Bin-Hezam
Technology Assisted Review (TAR), which aims to reduce the effort required to screen collections of documents for relevance, is used to develop systematic reviews of medical eviden…