Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling.
Chris D. CantwellYumnah MohamiedKonstantinos N. TzortzisStef GarastoCharles HoustonRasheda A. ChowdhuryFu Siong NgAnil A. BharathNicholas S. PetersPublished in: Comput. Biol. Medicine (2019)
Keyphrases
- multiscale
- machine learning
- pattern recognition
- machine learning methods
- predictive modeling
- wavelet transform
- natural images
- supervised learning
- support vector machine
- image segmentation
- decision trees
- artificial intelligence
- image processing
- image representation
- learning algorithm
- information extraction
- computer vision
- affine invariant
- data mining
- neural network
- computational intelligence
- coarse to fine
- inductive learning
- inductive logic programming
- machine learning algorithms
- computational biology
- multiscale analysis
- text classification
- active learning
- reinforcement learning
- knowledge acquisition
- semi supervised learning
- scale space
- wavelet coefficients
- text mining
- learning problems
- natural language processing
- data analysis
- computer science
- predictive model
- information retrieval
- supervised machine learning
- data sets