Discovering Trends in Environmental Time-Series with Supervised Classification of Metatranscriptomic Reads and Empirical Mode Decomposition.
Enzo AcerbiCaroline ChénardStephan C. SchusterFederico M. LauroPublished in: BIOSTEC (Selected Papers) (2018)
Keyphrases
- supervised classification
- empirical mode decomposition
- non stationary
- stock market prediction
- signal analysis
- supervised learning
- hilbert huang transform
- unsupervised learning
- intrinsic mode functions
- supervised classifiers
- multi band
- machine learning
- data points
- image analysis
- eeg signals
- feature space
- image segmentation
- feature selection