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Found 5 papers, 4 papers with code
ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
To address this issue, we present ZADU, a Python library that provides distortion measures.
Uniform Manifold Approximation with Two-phase Optimization
We introduce Uniform Manifold Approximation with Two-phase Optimization (UMATO), a dimensionality reduction (DR) technique that improves UMAP to capture the global structure of high-dimensional data more accurately.
Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections
Our metrics consider two aspects of the inter-cluster reliability: Steadiness measures the extent to which clusters in the projected space form clusters in the original space, and Cohesiveness measures the opposite.
IntelliCAT: Intelligent Machine Translation Post-Editing with Quality Estimation and Translation Suggestion
We present IntelliCAT, an interactive translation interface with neural models that streamline the post-editing process on machine translation output.
Comparative Layouts Revisited: Design Space, Guidelines, and Future Directions
The goal of our research is to distill the results from previous studies into a consistent and reusable framework.
Human-Computer Interaction
