# Group sparse regularization for deep neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/group-sparse-regularization-for-deep-neural-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Simone Scardapane,Danilo Comminiello,Amir Hussain,Aurelio Uncini |
| Citations | 476 |
| DOI | 10.1016/j.neucom.2017.02.029 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0925231217302990 |
| OpenAlex ID | https://openalex.org/W2460144244 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Amir Hussain](https://scholariq.org/researchers/amir-hussain/)

## Paper primary topic

- [Sparse and Compressive Sensing Techniques](https://scholariq.org/topics/sparse-and-compressive-sensing-techniques/)

## Paper topics

- [Sparse and Compressive Sensing Techniques](https://scholariq.org/topics/sparse-and-compressive-sensing-techniques/)
- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.