A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience
- DOI
- 10.1007/s12021-018-9404-y
- Published
- 2018-11-15
- Container
- Neuroinformatics
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s12021-018-9404-y,
title = {A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience},
author = {Matthew Shardlow and Meizhi Ju and Maolin Li and Christian O’Reilly and Elisabetta Iavarone and John McNaught and Sophia Ananiadou},
year = {2018},
journal = {Neuroinformatics},
doi = {10.1007/s12021-018-9404-y},
url = {https://doi.org/10.1007/s12021-018-9404-y}
}RIS
TY - JOUR TI - A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience AU - Matthew Shardlow AU - Meizhi Ju AU - Maolin Li AU - Christian O’Reilly AU - Elisabetta Iavarone AU - John McNaught AU - Sophia Ananiadou PY - 2018 JO - Neuroinformatics DO - 10.1007/s12021-018-9404-y UR - https://doi.org/10.1007/s12021-018-9404-y ER -
APA
Shardlow, M., Ju, M., Li, M., O’Reilly, C., Iavarone, E., McNaught, J., & Ananiadou, S. (2018). A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience. Neuroinformatics. https://doi.org/10.1007/s12021-018-9404-y
Source records
- crossref · retrieved 2026-11-08T20:12:05.668Z