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Mark Stevenson

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Challenges and Opportunities of NLP for HR Applications: A Discussion Paper

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May 13, 2024
Jochen L. Leidner, Mark Stevenson

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RLStop: A Reinforcement Learning Stopping Method for TAR

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May 03, 2024
Reem Bin-Hezam, Mark Stevenson

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Document Set Expansion with Positive-Unlabelled Learning Using Intractable Density Estimation

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Mar 26, 2024
Haiyang Zhang, Qiuyi Chen, Yuanjie Zou, Yushan Pan, Jia Wang, Mark Stevenson

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Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach

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Jan 20, 2024
Haiyang Zhang, Qiuyi Chen, Yuanjie Zou, Yushan Pan, Jia Wang, Mark Stevenson

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Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review

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Dec 05, 2023
Reem Bin-Hezam, Mark Stevenson

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Stopping Methods for Technology Assisted Reviews based on Point Processes

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Nov 14, 2023
Mark Stevenson, Reem Bin-Hezam

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Scalable Label-efficient Footpath Network Generation Using Remote Sensing Data and Self-supervised Learning

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Sep 18, 2023
Xinye Wanyan, Sachith Seneviratne, Kerry Nice, Jason Thompson, Marcus White, Nano Langenheim, Mark Stevenson

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Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation

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Aug 12, 2023
Ambrose Robinson, William Thorne, Ben P. Wu, Abdullah Pandor, Munira Essat, Mark Stevenson, Xingyi Song

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On the Security Vulnerabilities of Text-to-SQL Models

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Nov 28, 2022
Xutan Peng, Yipeng Zhang, Jingfeng Yang, Mark Stevenson

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Urban feature analysis from aerial remote sensing imagery using self-supervised and semi-supervised computer vision

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Aug 17, 2022
Sachith Seneviratne, Jasper S. Wijnands, Kerry Nice, Haifeng Zhao, Branislava Godic, Suzanne Mavoa, Rajith Vidanaarachchi, Mark Stevenson, Leandro Garcia, Ruth F. Hunter, Jason Thompson

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