| Chemistry-informed Machine Learning Explains Calcium-binding Proteins Fuzzy Shape for Communicating Changes in the Atomic States of Calcium Ions | Jul 24, 2024 | Explainable Models | —Unverified | 0 | 0 |
| Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches | Jun 18, 2022 | Decision MakingExplainable artificial intelligence | —Unverified | 0 | 0 |
| Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy | Aug 13, 2023 | Explainable Models | —Unverified | 0 | 0 |
| Mixture of Linear Models Co-supervised by Deep Neural Networks | Aug 5, 2021 | Decision MakingExplainable Models | —Unverified | 0 | 0 |
| Multimodal and Explainable Internet Meme Classification | Dec 11, 2022 | ClassificationExplainable Models | —Unverified | 0 | 0 |
| Towards eXplainable AI for Mobility Data Science | Jul 17, 2023 | Explainable Artificial Intelligence (XAI)Explainable Models | —Unverified | 0 | 0 |
| Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning | May 15, 2019 | BIG-bench Machine LearningExplainable Models | —Unverified | 0 | 0 |
| Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition | Mar 8, 2024 | Explainable Modelsobject-detection | —Unverified | 0 | 0 |
| Nuclei panoptic segmentation and composition regression with multi-task deep neural networks | Feb 23, 2022 | DecoderExplainable Models | —Unverified | 0 | 0 |
| Causality in Neural Networks -- An Extended Abstract | Jun 3, 2021 | BIG-bench Machine LearningDisentanglement | —Unverified | 0 | 0 |
| A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology | Aug 16, 2023 | Explainable Models | —Unverified | 0 | 0 |
| Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer | Dec 15, 2023 | Decision MakingExplainable Models | —Unverified | 0 | 0 |
| Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem | Sep 12, 2022 | Bilevel OptimizationExplainable Models | —Unverified | 0 | 0 |
| Predefined Prototypes for Intra-Class Separation and Disentanglement | Jun 23, 2024 | DisentanglementExplainable Models | —Unverified | 0 | 0 |
| AudioProtoPNet: An interpretable deep learning model for bird sound classification | Apr 16, 2024 | Audio ClassificationClassification | —Unverified | 0 | 0 |
| 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 |