From time series to multi-modality: Classifying multivariate time series via both 1D and 2D representations

Keyphrases

• Multimodality 100%
• Multivariate Time Series 100%
• Multivariate Time Series Classification 100%
• 2D Representation 100%
• Spectrogram 66%
• Copyright 33%
• Switzerland 33%
• Competition State 33%
• Springer Nature 33%
• Learnability 33%
• Network Applications 33%
• Window Size 33%
• Disease Diagnosis 33%
• Classification Problem 33%
• Frequency Information 33%
• Classification Task 33%
• Deep Learning Methods 33%
• Exclusive License 33%
• Brain-computer Interface 33%
• Public Dataset 33%
• Temporal Resolution 33%
• Multimodal Data 33%
• Activity Recognition 33%
• Representation Learning 33%
• Time Series Classification 33%
• Frequency Component 33%
• Short-time Fourier Transform 33%
• Deep Learning Classifier 33%
• Temporal Position 33%
• Data Classification 33%
• ResNet Architecture 33%
• Dual-stream Network 33%
• Frequency Resolution 33%
• Varying Frequency 33%
• Computer Vision Field 33%

Computer Science

• Multimodality 100%
• Multivariate Time Series 100%
• Temporal Information 40%
• Deep Learning 20%
• Representation Learning 20%
• Frequency Component 20%
• Classification Task 20%
• Frequency Information 20%
• Computer Vision 20%
• Learning Capacity 20%
• Computer Interface 20%
• Temporal Resolution 20%
• Deep Learning 20%
• Residual Neural Network 20%
• Activity Recognition 20%
• Classification Problem 20%
• Data Classification 20%
• Time Fourier Transform 20%
• Frequency Resolution 20%