Classical Machine Learning Algorithms and Shallower Convolutional Neural Networks Towards Computationally Efficient and Accurate Classification of Malaria Parasites.
Yaecob Girmay GezahegnAbel Kahsay GebreslassieMaarig Aregawi HagosAchim IbenthalEneyew Adugna EtsubPublished in: ICT4DA (2019)
Keyphrases
- pairwise
- machine learning algorithms
- accurate classification
- computationally efficient
- convolutional neural networks
- learning algorithm
- benchmark data sets
- supervised learning
- classification algorithm
- machine learning
- machine learning methods
- classification accuracy
- decision trees
- multi class
- predictive accuracy
- learning problems
- convolutional network
- feature selection
- random forests
- machine learning models
- semi supervised
- learning tasks
- multiclass classification
- learning models
- machine learning systems
- knn
- information extraction
- unsupervised learning
- machine learning approaches
- k nearest neighbor
- statistical machine learning