five

Finetuning datasets - T-RLF

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Zenodo2024-09-03 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.13382206
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资源简介:
Tract-specific finetuning datasets for finetuning of T-RLF model. Purpose: Reproducibility of results in Tract-RLFormer: A tract-specific RL policy based Decoder only Transformer networkConference: ICPR-2024   Finetuning dataset for 7 tracts:AF left, AF right, PYT left, PYT right, Cingulum left, Cingulum right, CC. These datasets are composed of TD3 trajectory, specific to each tract for 5 train-subjects of TractoInferno dataset as mentioned in the paper.
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Zenodo
创建时间:
2024-09-03
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