| Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs | Jul 1, 2022 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 | 5 |
| Explainability and Adversarial Robustness for RNNs | Dec 20, 2019 | Adversarial RobustnessFeature Importance | CodeCode Available | 1 | 5 |
| agtboost: Adaptive and Automatic Gradient Tree Boosting Computations | Aug 28, 2020 | Feature Importance | CodeCode Available | 1 | 5 |
| Explainable Multilayer Graph Neural Network for Cancer Gene Prediction | Jan 20, 2023 | Feature ImportanceGraph Learning | CodeCode Available | 1 | 5 |
| Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation | Jun 26, 2020 | Atari GamesData Augmentation | CodeCode Available | 1 | 5 |
| Facial Expression Recognition in the Wild via Deep Attentive Center Loss | Jan 7, 2021 | Facial Expression RecognitionFacial Expression Recognition (FER) | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction | May 23, 2019 | Click-Through Rate PredictionFeature Importance | CodeCode Available | 1 | 5 |
| CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving | Apr 9, 2025 | Autonomous DrivingFeature Importance | CodeCode Available | 1 | 5 |
| Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors | Jun 27, 2020 | ClusteringDimensionality Reduction | CodeCode Available | 1 | 5 |
