Przybyła, Piotr

Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error

Bannach-Brown, A., Przybyła, P., Thomas, J., Rice, A. S. C., Ananiadou, S., Liao, J., & Macleod, M. R. (2019) · Systematic Reviews

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 185

Prioritising references for systematic reviews with RobotAnalyst: A user study

Przybyła, P., Brockmeier, A. J., Kontonatsios, G., Le Pogam, M., McNaught, J., von Elm, E., Nolan, K., & Ananiadou, S. (2018) · Research Synthesis Methods

Meta-analysis and systematic reviewsComputational and Text Analysis Methods

Cited by 148

Improving reference prioritisation with PICO recognition.

Brockmeier, A. J., Ju, M., Przybyła, P., & Ananiadou, S. (2019) · BMC Medical Informatics and Decision Making

Meta-analysis and systematic reviewsBiomedical Text Mining and Ontologies

Cited by 62

Thalia: semantic search engine for biomedical abstracts

Soto, A. J., Przybyła, P., & Ananiadou, S. (2019) · Bioinformatics

Biomedical Text Mining and OntologiesInformation Retrieval and Search Behavior

Cited by 60

Deanthropomorphising NLP: Can a language model be conscious?

Shardlow, M., & Przybyła, P. (2024) · PLoS ONE

Philosophy and Theoretical ScienceTopic Modeling

Cited by 16