Enhancing Adaboost performance in the presence of class-label noise: A comparative study on EEG-based classification of schizophrenic patients and benchmark datasets.
Omid Ranjbar PouyaReza BoostaniMalihe SabetiPublished in: Intell. Data Anal. (2024)
Keyphrases
- benchmark datasets
- ensemble methods
- class label noise
- uci repository
- uci machine learning repository
- terms of classification accuracy
- decision trees
- generalization ability
- base classifiers
- classification accuracy
- eeg signals
- multi class
- healthy controls
- face detection
- object detection
- ensemble learning
- supervised learning
- classification algorithm
- classification models
- classifier ensemble
- feature extraction
- machine learning