Clinical Application of Using Diffusion-Based Wasserstein Generative Adversarial Network for Morphologic Analysis of Blood Cells. [PDF]
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FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport. [PDF]
Liu P +6 more
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Energy-Efficient Automated Detection of OPGW Features for Sustainable UAV-Based Inspection. [PDF]
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Improving Conformational Ensembles of Folded Proteins in Go̅Martini. [PDF]
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MoleProLink-RL: geometric transport for domain-policy reinforcement learning in drug-target interaction prediction. [PDF]
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More Sophisticated Is Not Always Better: A Comparison of Similarity Measures for Unsupervised Learning of Pathways in Biomolecular Simulations. [PDF]
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A time-coupled multi-objective distributionally robust chance-constrained framework for grid resilience enhancement using mobile emergency generators. [PDF]
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Why Wasserstein Metric Is Useful in Econometrics
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2023In many practical situations, we need to change the spatial distribution of some goods. In such situations, it is desirable to minimize the overall transportation costs. In the 1-D case, the smallest transportation cost of such a change is proportional to what is known as the Wasserstein metric.
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