Machine Learning to Automate the Visual Interpretation of Chemical Agglutination Tests.
Sidharth GuptaAlexandros A. SklavounosJoshua DahmerAnthony K. C. YongMohammed A. A. AbdullahGilberto CamachoKeith MortonMatthew ShiuJean LabrecqueTeodor VeresAaron R. WheelerAlex MariakakisPublished in: PerCom Workshops (2022)
Keyphrases
- machine learning
- visual information
- visual features
- machine learning algorithms
- pattern recognition
- neural network
- image interpretation
- knowledge acquisition
- knowledge representation
- natural language processing
- text classification
- visual analysis
- machine learning and data mining
- visual perception
- machine learning methods
- data analysis
- high level
- decision trees
- data mining
- active learning
- kernel methods
- inductive learning
- artificial intelligence
- explanation based learning
- learning problems
- drug discovery
- visual appearance
- genetic algorithm
- learning algorithm
- machine learning approaches
- supervised learning
- case study
- data sets
- support vector machine