Development and validation of predictive models for the hemodialysis adequacy index (Kt/V) using multiple linear regression and machine learning algorithms. [PDF]
Li LL +13 more
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Weighting Bayesian information in human judgment under uncertainty: a hierarchical theory of cognitive biases. [PDF]
Kopp B.
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Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions Through Logical Reasoning. [PDF]
Chen W, Yu S, Shao H, Sha L, Zhao H.
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Attention-Based Quantile Regression for RUL Uncertainty Prediction. [PDF]
Huang L, Hu X, Gong L, Liu Y, Yang S.
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Explicit Mechanistic Causal Analyses or Interventional Trials Are Required for Objective, Clinical, Voice-Based Parkinson Disease Characterization. [PDF]
Little M.
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Transformer-based temporal models for probabilistic load and photovoltaic power forecasting in commercial microgrids. [PDF]
Deepa P, Kathirvel C.
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Uncertainty-Aware General Gaze Following via Circular Direction Distribution Learning and Probabilistic Gaze Geometry Modeling. [PDF]
Li Y, Li J, Zhang X, Liang H.
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Deep DNA and protein level feature integration for robust clinical variant interpretation using probabilistic gradient boosting. [PDF]
Karthik V +3 more
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Artificial Intelligence-Driven Graph Methods for Microbiome Research: A Systematic Review. [PDF]
Shum-Tim C +9 more
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Physics-informed multi-task learning for permeability prediction and probabilistic HFU modeling: a case study from the Lower Bahariya Reservoir, Shahd SE field Egypt. [PDF]
Saleh K, Mabrouk WM, Metwally AM.
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