Polyphony facilitates interactions between biologists and single-cell omics data annotation ML models with the integration of visualization and anchor-based interactive transfer learning.
VBridge incorporates ML explanations into clinicians' decision-making workflow by connecting the dots between ML features, data and explanations in healthcare models.
DECE supports exploratory visual analysis on ML models with counterfactual explanations. The system helps non-expert users propose, verify, and refine their hypotheses on ML predictions.