A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery.
Parastoo SemnaniMihail BogojeskiFlorian BleyZizheng ZhangQiong WuThomas KneibJan HerrmannChristoph WeisserFlorina PatcasKlaus-Robert MüllerPublished in: CoRR (2024)
Keyphrases
- machine learning
- main contribution
- artificial intelligence
- feature selection
- machine learning methods
- theoretical framework
- machine learning algorithms
- knowledge discovery
- machine learning approaches
- knowledge acquisition
- knowledge representation
- probabilistic model
- computer science
- pattern recognition
- case based reasoning
- text mining
- computational intelligence
- video sequences
- intelligent systems
- lightweight
- web services
- data mining
- real world
- data sets
- conceptual framework
- real time