Name
Title | ||
|---|---|---|
Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction. |
Abstract | ||
|---|---|---|
Max-pooling outperforms the others alternatives because is the only one which is invariant to the special pad tokens that are appending to the shorter sentences known as padding. Actually, the combination of max-pooling and attentive pooling does not improve the performance as compared with the single max-pooling technique. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2195-1 | BMC Bioinformatics |
Keywords | Field | DocType |
Attention model,Convolutional neural network,Deep learning,Drug-drug interaction extraction,Pooling | Drug-drug interaction,Pattern recognition,Biology,Convolution,Convolutional neural network,Pooling,Curse of dimensionality,Invariant (mathematics),Artificial intelligence,Deep learning,Bioinformatics,Padding | Journal |
Volume | Issue | ISSN |
19-S | 8 | 1471-2105 |
Citations | PageRank | References |
1 | 0.43 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Víctor Suárez-Paniagua | 1 | 4 | 1.84 |
| Isabel Segura-Bedmar | 2 | 435 | 30.96 |