Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience.
Antonios MamalakisElizabeth A. BarnesImme Ebert-UphoffPublished in: CoRR (2022)
Keyphrases
- artificial intelligence
- computational cost
- computational intelligence
- machine learning methods
- qualitative and quantitative
- machine learning
- reinforcement learning
- computer science
- evolutionary algorithm
- software engineering
- machine learning algorithms
- intelligent agents
- methods require
- ai methods
- convolutional neural networks