Showing 1–16 of 16 results
/ Date/ Name
Jun 19, 2020Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction DetectionDec 12, 2018Can I trust you more? Model-Agnostic Hierarchical ExplanationsMay 14, 2017Detecting Statistical Interactions from Neural Network WeightsJun 19, 2020How does this interaction affect me? Interpretable attribution for feature interactionsFeb 2, 2021U-LanD: Uncertainty-Driven Video Landmark DetectionMar 1, 2021Interpretable Artificial Intelligence through the Lens of Feature InteractionJun 11, 2019Extracting Interpretable Concept-Based Decision Trees from CNNsSep 15, 2024Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in EchocardiographyMar 1, 2024Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale RecommendationMar 11, 2022DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate PredictionSep 15, 2025Pseudo-D: Informing Multi-View Uncertainty Estimation with Calibrated Neural Training DynamicsJun 28, 2020Interpretable and Trustworthy Deepfake Detection via Dynamic PrototypesJul 26, 2023ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in EchocardiographySep 2, 2025PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis DiagnosisFeb 14, 2026Optimizing Point-of-Care Ultrasound Video Acquisition for Probabilistic Multi-Task Heart Failure DetectionNov 17, 2025EchoAgent: Guideline-Centric Reasoning Agent for Echocardiography Measurement and Interpretation