Convolutions
1-Dimensional Convolutional Neural Networks
Introduced by Singstad et al. in Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs1D Convolutional Neural Networks are similar to well known and more established 2D Convolutional Neural Networks. 1D Convolutional Neural Networks are used mainly used on text and 1D signals.
Source: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGsPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Sentiment Analysis | 5 | 4.24% |
| Decision Making | 4 | 3.39% |
| Time Series Forecasting | 4 | 3.39% |
| Object Detection | 4 | 3.39% |
| Time Series Analysis | 4 | 3.39% |
| Anomaly Detection | 3 | 2.54% |
| General Classification | 3 | 2.54% |
| EEG | 2 | 1.69% |
| Clustering | 2 | 1.69% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
