Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance?
- DOI
- 10.1007/978-3-642-16239-8_19
- Published
- 2010
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Berlin Heidelberg
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-642-16239-8_19,
title = {Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance?},
author = {Michalis Agathocleous and Georgia Christodoulou and Vasilis Promponas and Chris Christodoulou and Vassilis Vassiliades and Antonis Antoniou},
year = {2010},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-642-16239-8_19},
url = {https://doi.org/10.1007/978-3-642-16239-8_19}
}RIS
TY - JOUR TI - Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance? AU - Michalis Agathocleous AU - Georgia Christodoulou AU - Vasilis Promponas AU - Chris Christodoulou AU - Vassilis Vassiliades AU - Antonis Antoniou PY - 2010 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-642-16239-8_19 UR - https://doi.org/10.1007/978-3-642-16239-8_19 ER -
APA
Agathocleous, M., Christodoulou, G., Promponas, V., Christodoulou, C., Vassiliades, V., & Antoniou, A. (2010). Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance?. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-642-16239-8_19
Source records
- crossref · retrieved 2026-09-25T03:55:42.929Z