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 ...
IEEE

Multivariate Time Series Forecasting Using Multiscale Recurrent Networks With Scale Attention and Cross-Scale Guidance

Abstract: Multivariate time series (MTS) forecasting is considered as a challenging task due to complex and nonlinear interdependencies between time steps and series. With the advance of deep learning ...