AC-WGAN-GP: Augmenting ECG and GSR Signals using Conditional Generative Models for Arousal Classification.
Andrei FurduiTianyi ZhangMarcel WorringPablo CésarAbdallah El AliPublished in: UbiComp/ISWC Adjunct (2021)
Keyphrases
- generative model
- discriminative learning
- bayesian framework
- naive bayes models
- probabilistic model
- ecg signals
- maximum entropy principle
- decision trees
- discriminative methods
- prior knowledge
- feature selection
- conditional random fields
- information retrieval
- em algorithm
- support vector machine
- pattern classification
- maximum entropy
- hierarchical hidden markov models
- class labels
- model selection
- expectation maximization
- semi supervised
- classification accuracy
- support vector
- mixture model
- heart rate
- machine learning
- feature extraction
- discriminatively trained
- mixed membership
- training set
- robust classification
- pairwise
- feature vectors
- weakly supervised
- unsupervised learning
- machine learning algorithms