| Fast Interpretable Greedy-Tree Sums | Jan 28, 2022 | Additive modelsDecision Making | CodeCode Available | 1 |
| DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer | Jan 27, 2022 | Decision MakingDocument Layout Analysis | CodeCode Available | 1 |
| The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning | Jan 24, 2022 | Decision MakingHierarchical Reinforcement Learning | CodeCode Available | 1 |
| A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study | Jan 10, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 |
| Attention-based Bidirectional LSTM for Deceptive Opinion Spam Classification | Dec 29, 2021 | ClassificationDecision Making | CodeCode Available | 1 |
| Lane Change Decision-Making through Deep Reinforcement Learning | Dec 24, 2021 | Autonomous DrivingDecision Making | CodeCode Available | 1 |
| Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis | Dec 23, 2021 | Decision MakingDiagnostic | CodeCode Available | 1 |
| Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications | Dec 22, 2021 | Decision MakingGenerative Adversarial Network | CodeCode Available | 1 |
| ContrXT: Generating Contrastive Explanations from any Text Classifier | Dec 11, 2021 | Decision MakingExplainable artificial intelligence | CodeCode Available | 1 |
| Decision-Focused Learning: Through the Lens of Learning to Rank | Dec 7, 2021 | Combinatorial OptimizationDecision Making | CodeCode Available | 1 |
