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| Natura: | Recurso digital |
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Zenodo
2025
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| Accesso online: | https://doi.org/10.5281/zenodo.17650546 |
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| _version_ | 1866901959013826560 |
|---|---|
| author | aleksandrs-v |
| author_facet | aleksandrs-v |
| contents | <p>This release contains all the necessary code for Processing and MATLAB for carrying out all the tasks from gathering training data, to training CNNs and test-driving them on real-time data.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17650546 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | aleksandrs-v/affective_cnn: End-to-end pipeline for training CNN for affective touch recognition in Smart Plush Companions aleksandrs-v <p>This release contains all the necessary code for Processing and MATLAB for carrying out all the tasks from gathering training data, to training CNNs and test-driving them on real-time data.</p> |
| title | aleksandrs-v/affective_cnn: End-to-end pipeline for training CNN for affective touch recognition in Smart Plush Companions |
| url | https://doi.org/10.5281/zenodo.17650546 |