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Found 4 papers, 1 papers with code
H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses
Discovering human cognitive and emotional states using multi-modal physiological signals draws attention across various research applications.
Exact and Approximate Conformal Inference in Multiple Dimensions
It is common in machine learning to estimate a response y given covariate information x.
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods
In the second step, 20 algorithms for constructing PIs, each using the principles of bootstrapping or conformal inference, are implemented to determine which provides the best performance while maintaining reasonable computational burden.
Conformal Uncertainty Sets for Robust Optimization
Decision-making under uncertainty is hugely important for any decisions sensitive to perturbations in observed data.
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