IEEE

Novel Sinusoidal Signal Assisted Multivariate Variational Mode Decomposition Combined With Task-Related Component Analysis for Enhancing SSVEP-Based BCI Performance

Abstract: Brain-computer interfaces (BCIs) based on steady-state visually evoked potential (SSVEP) have a broad application prospect owing to their multiple command output and high performance. Each ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
GitHub

neuro-conda

Machine Learning (Linux only): braindecode, nilearn, nipype, nitime (only on Windows and Linux), PyTorch, scikit-learn, tensorflow, tensorflow-datasets, Torch Audio, Torch Vision Note: Setting up ...
GitHub

Univariate and multivariate time series forecasting, with uncertainty quantification.

With ridge2f (type ?ridge2f in R console for more details), the model from : Moudiki, T., Planchet, F., & Cousin, A. (2018). Multiple time series forecasting using ...
IEEE

Robust Curve Clustering Based on a Multivariate

Abstract: This brief presents a curve clustering technique based on a new multivariate model. Instead of the usual Gaussian random effect model, our method uses the multivariate -distribution model ...