Convolutional Recurrent Neural Networks for the Classification of Cetacean Bioacoustic Patterns.
Dimitris N. MakropoulosAntigoni TsiamiAristides ProspathopoulosDimitris KassisAlexandros FrantzisEmmanuel K. SkarsoulisGeorge PiperakisPetros MaragosPublished in: ICASSP (2023)
Keyphrases
- recurrent neural networks
- neural network
- lung disease
- pattern analysis
- feed forward
- feature space
- feature vectors
- supervised learning
- cascade correlation
- machine learning
- text classification
- image classification
- hidden layer
- classification method
- echo state networks
- pattern recognition
- support vector
- feature extraction
- decision trees
- feature selection
- artificial neural networks
- neural model
- reservoir computing
- recurrent networks
- restricted boltzmann machine
- complex valued
- pattern discovery
- cross validation
- support vector machine svm
- generative model
- fuzzy logic