An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

Connectivity tools, classifiers and visualizers of EEG-based graphs(cortical)

🚗 Advanced LSTM-based transportation demand forecasting achieving MAPE: 2.8% with multivariate time-series analysis ⚡ Real-time prediction API with external regressors (weather, events) and statistical validation using Granger causality tests