| Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction | Nov 18, 2022 | Dimensionality ReductionFeature Importance | —Unverified | 0 |
| Computational analysis of pathological image enables interpretable prediction for microsatellite instability | Oct 7, 2020 | Feature Importancewhole slide images | —Unverified | 0 |
| Area of interest adaption using feature importance | Mar 3, 2023 | Feature Importance | —Unverified | 0 |
| Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations | Feb 21, 2023 | Decision MakingExplainable artificial intelligence | —Unverified | 0 |
| Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting | May 29, 2019 | Feature Importance | —Unverified | 0 |
| Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales | Feb 17, 2023 | Feature ImportanceImage Super-Resolution | —Unverified | 0 |
| Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement | Nov 16, 2022 | Feature Importance | —Unverified | 0 |
| COMIX: Compositional Explanations using Prototypes | Jan 10, 2025 | Decision MakingFeature Importance | —Unverified | 0 |
| Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning | Mar 4, 2022 | Abuse DetectionAnomaly Detection | —Unverified | 0 |
| Continual Deterioration Prediction for Hospitalized COVID-19 Patients | Jan 19, 2021 | Feature ImportancePrediction | —Unverified | 0 |
| Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients | Jan 11, 2021 | ClusteringContrastive Learning | —Unverified | 0 |
| On The Impact of Merge Request Deviations on Code Review Practices | Jun 10, 2025 | Feature ImportanceFew-Shot Learning | —Unverified | 0 |
| Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain | Feb 18, 2025 | Feature ImportanceSpecificity | —Unverified | 0 |
| Regularizing Explanations in Bayesian Convolutional Neural Networks | Apr 29, 2021 | Bayesian InferenceClassification | —Unverified | 0 |
| Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading | Dec 19, 2024 | Algorithmic TradingFeature Engineering | —Unverified | 0 |
| Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models | Aug 14, 2024 | Feature Importance | —Unverified | 0 |
| Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt | Jul 28, 2020 | BIG-bench Machine LearningCrop Yield Prediction | —Unverified | 0 |
| COVID-19 diagnosis by routine blood tests using machine learning | Jun 4, 2020 | BIG-bench Machine LearningCOVID-19 Diagnosis | —Unverified | 0 |
| Crash Severity Risk Modeling Strategies under Data Imbalance | Dec 3, 2024 | Feature Importancefeature selection | —Unverified | 0 |
| Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function | Apr 23, 2019 | Decision MakingDensity Estimation | —Unverified | 0 |
| Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features | Nov 16, 2021 | Cultural Vocal Bursts Intensity PredictionEmotion Classification | —Unverified | 0 |
| CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images | Oct 29, 2023 | Feature Importance | —Unverified | 0 |
| AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems | Dec 11, 2024 | Feature Importancefeature selection | —Unverified | 0 |
| Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified | Jan 20, 2020 | Deep LearningFeature Importance | —Unverified | 0 |
| Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes | May 6, 2024 | ClusteringFeature Importance | —Unverified | 0 |