| A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN | Dec 1, 2020 | Explainable ModelsFake News Detection | —Unverified | 0 | 0 |
| Transformative Machine Learning | Nov 8, 2018 | BIG-bench Machine LearningDrug Design | —Unverified | 0 | 0 |
| UAlberta at SemEval-2021 Task 2: Determining Sense Synonymy via Translations | Aug 1, 2021 | Explainable ModelsTask 2 | —Unverified | 0 | 0 |
| Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks | Jan 9, 2024 | Explainable Models | —Unverified | 0 | 0 |
| Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax | Aug 11, 2022 | Explainable ModelsWord Embeddings | —Unverified | 0 | 0 |
| QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations | Feb 27, 2024 | counterfactualExplainable Models | —Unverified | 0 | 0 |
| A deep convolutional neural network for classification of Aedes albopictus mosquitoes | Oct 29, 2021 | ClassificationExplainable Models | —Unverified | 0 | 0 |
| Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology | Jul 29, 2022 | Explainable Models | —Unverified | 0 | 0 |
| Retrieving and Highlighting Action with Spatiotemporal Reference | May 19, 2020 | Action RecognitionCross-Modal Retrieval | —Unverified | 0 | 0 |
| An XAI Approach to Deep Learning Models in the Detection of DCIS | Jun 27, 2021 | Explainable Artificial Intelligence (XAI)Explainable Models | —Unverified | 0 | 0 |
