Introduces progressive visualization for comparing causal discovery algorithms and comparative graph layouts for analyzing multi-outcome causal graphs in healthcare.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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The QBF Gallery 2023 report consolidates submitted solvers and formulas into a public benchmark set and compares solver performance on it while outlining future directions for the community.
citing papers explorer
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Visual Analysis of Multi-outcome Causal Graphs
Introduces progressive visualization for comparing causal discovery algorithms and comparative graph layouts for analyzing multi-outcome causal graphs in healthcare.
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The QBF Gallery 2023
The QBF Gallery 2023 report consolidates submitted solvers and formulas into a public benchmark set and compares solver performance on it while outlining future directions for the community.
- Strong Approximation of Iterated Ito and Stratonovich Stochastic Integrals Based on Generalized Multiple Fourier Series. Application to Numerical Solution of Ito SDEs and Semilinear SPDEs