Interpretable machine learning models for survival prediction in prostate cancer bone metastases
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arXiv:2507.01548v2 Announce Type: replace-cross Abstract: This paper explores how older adults, particularly aging migrants in urban China, can engage AI-assisted…
arXiv:2507.02666v1 Announce Type: cross Abstract: In recent advancements in audio self-supervised representation learning, the standard Transformer architecture has emerged as…
arXiv:2507.02687v1 Announce Type: cross Abstract: Personalizing diffusion models using limited data presents significant challenges, including overfitting, loss of prior knowledge,…
arXiv:2507.01961v2 Announce Type: replace-cross Abstract: Recently, mobile manipulation has attracted increasing attention for enabling language-conditioned robotic control in household tasks.…
arXiv:2507.02004v1 Announce Type: new Abstract: The rapid growth of biomedical data, tools, and literature has created a fragmented research landscape…