Chair: Adam Roegiest
Start: 2021-11-04 13:00
End: 2021-11-04 14:10
Chair: Joao Palotti
Start: 2021-11-05 01:00
End: 2021-11-05 02:10
rgfp1720 A Study of Explainability Features to Scrutinize Faceted Filtering Results |
rgfp0103 Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search |
afp1188 On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation |
rgfp0734 The Skyline of Counterfactual Explanations for Machine Learning Decision Models |
rgfp1089 ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations |
rgfp1406 XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management |
rgfp0579 Towards Self-Explainable Graph Neural Network |
rgfp1709 Learning Saliency Maps to Explain Deep Time Series Classifiers |
rgfp1352 GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps |
rgfp1943 Counterfactual Explainable Recommendation |
rgfp0552 MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text |