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Interpretable synthetic signals for explainable one-class time-series classification

Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler

2024Engineering Applications of Artificial Intelligence11 citationsDOI

Topics & Concepts

InterpretabilityComputer scienceArtificial intelligenceClass (philosophy)SIGNAL (programming language)Pattern recognition (psychology)ElectroencephalographyProcess (computing)Machine learningBreathingSynthetic dataSeries (stratigraphy)NeuroscienceAnatomyPaleontologyMedicineOperating systemBiologyProgramming languageTime Series Analysis and ForecastingAnomaly Detection Techniques and ApplicationsEEG and Brain-Computer Interfaces
Interpretable synthetic signals for explainable one-class time-series classification | Litcius