Ian Covert
Publications by Year
Research Areas
Explainable Artificial Intelligence (XAI), Machine Learning and Data Classification, Face and Expression Recognition, Neural Networks and Applications, Bayesian Modeling and Causal Inference
Most-Cited Works
- → Algorithms to estimate Shapley value feature attributions(2023)372 cited
- → Neural Granger Causality(2021)235 cited
- → Understanding Global Feature Contributions With Additive Importance Measures(2020)168 cited
- → What does a platypus look like? Generating customized prompts for zero-shot image classification(2023)159 cited
- → Explaining by Removing: A Unified Framework for Model Explanation(2020)123 cited
- Neural Granger Causality for Nonlinear Time Series(2018)
- Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression(2021)
- → Temporal Graph Convolutional Networks for Automatic Seizure Detection(2019)49 cited
- → Predictive and robust gene selection for spatial transcriptomics(2023)36 cited