Polyphony: incorporate experts' knowledge into ML models

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: AI-informed clinical decision-making

VBridge incorporates ML explanations into clinicians' decision-making workflow by connecting the dots between ML features, data and explanations in healthcare models.

DECE: explore ML models with counterfactual explanations

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.