Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning.
Benjamin Lundquist ThomsenJesper B. ChristensenOlga RodenkoIskander UsenovRasmus Birkholm GrønnemoseThomas Emil AndersenMikael LassenPublished in: CoRR (2022)
Keyphrases
- machine learning
- raman spectra
- computer vision
- infrared
- high quality
- reinforcement learning
- pattern recognition
- explanation based learning
- computer science
- machine learning algorithms
- data sets
- machine learning methods
- computational intelligence
- natural language processing
- support vector machine
- information extraction
- learning algorithm
- automatic identification
- feature selection
- machine learning approaches
- highly accurate
- inductive learning
- inductive logic programming
- microarray data
- statistical methods
- decision trees
- three dimensional
- active learning
- computationally efficient
- semi supervised learning
- model selection
- knowledge acquisition
- knowledge representation
- high accuracy