Understanding protein oligomerization in living cells is essential for elucidating cellular signaling and regulation, yet quantitative analysis remains challenging due to heterogeneous expression ...
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Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger Robust Automatic Modulation ...
Wang et al. (2026) proposed DermaCalibra, using the Bayesian uncertainty estimation using Monte Carlo dropout to adapt the weights of focal loss, which effectively prioritizes underrepresented classes ...
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