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Found 4 papers, 1 papers with code
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection
The second method, oriented for high-level mining tasks, employs the Mean-Shift clustering method and is shown to enhance anomaly detection in the lower-dimensional space.
Artificial neural networks in action for an automated cell-type classification of biological neural networks
In this work we establish the first, automated cell-type classification method that relies on neuronal activity rather than molecular or cellular features.
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity
The field of neuroscience is experiencing rapid growth in the complexity and quantity of the recorded neural activity allowing us unprecedented access to its dynamics in different brain areas.
Convolutional Neural Networks for Video Quality Assessment
Moreover, transmission also introduces delays and other distortion types which affect the perceived quality.
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