Sensor-Based Detection of Food Hypersensitivity Using Machine Learning.
Lennart JablonskiTorge JensenGreta M. AhlemannXinyu HuangVivian V. Tetzlaff-LelleckArtur PietFranziska SchmelterValerie S. DinklerChristian SinaMarcin GrzegorzekPublished in: iWOAR (2023)
Keyphrases
- machine learning
- detection algorithm
- automatic detection
- inductive learning
- detection rate
- machine learning approaches
- computer science
- learning systems
- detection method
- object detection
- target detection
- support vector machine
- false positives
- machine learning algorithms
- data mining
- information retrieval
- active learning
- pattern recognition
- inductive logic programming
- detection accuracy
- information systems
- artificial intelligence
- data analysis
- neural network
- sensor data
- anomaly detection
- learning problems
- detection scheme
- data sets
- statistical methods
- false alarms
- unsupervised learning
- knowledge acquisition
- natural language processing
- supervised learning
- digital images
- information extraction
- evolutionary algorithm
- natural language
- decision trees
- image processing
- feature selection
- learning algorithm