CNN-TS: A Deep Convolutional Neural Network for Time Series Classification

This method leverages deep convolutional neural networks to classify time series data with intermediate targets. It is designed to improve accuracy in time series analysis.

Excess of Mass aim to maximized the cluster stability

Excess Mass Estimates and Tests for Multimodality

CNN-TS

A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets

ANDHRA module splits the neural network into multiple “branches” (representing different paths) that process the same input signal in parallel, each corresponding to different possible outcomes.

Source	A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets
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Data Source	Papers with Code archive (CC BY-SA)