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Session 6C: Interpretability and Explanations

First presentation

Chair: Adam Roegiest

Start: 2021-11-04 13:00

End: 2021-11-04 14:10

Second presentation

Chair: Joao Palotti

Start: 2021-11-05 01:00

End: 2021-11-05 02:10

Papers in this session

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
  • Papers highlighted in green indicate the paper is selected for a live spotlight presentation.
  • Papers highlighted in gold indicate the paper has been shortlisted for a best paper award (and will also be presented live).
This programme is indicative. Once registered, please refer to the session programme on Underline.