Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals

mlots is python package that provides Machine Learning tools for Time-Series Classification.

Intra-operative hypotension prediction

Zero-Shot ECG Generalization using Morphology-Rhythm Disentanglement and Mamba State Space Models. Features a production-ready Clinical Dashboard

CUDA implementation of the MiniRocket algorithm

Multimodal time-series pipeline for ERR@HRI 2.0: MiniRocket+Ridge to detect robot errors and user repairs.

EEG Classification using MiniRocket + Ridge Classifier on BCI Competition IV Dataset 2a. Reproducible pipeline for Time-Series feature extraction and classification.

A production-grade deep learning framework for zero-shot ECG classification that achieves state-of-the-art generalization through morphology-rhythm disentanglement and efficient long-range sequence modeling with Mamba/SSM.

PyTorch implementation of MiniRocket with soft PPV.

Hard drive failures can lead to data loss and increased bussiness expenses. In this project we detect hard drive failure before it happens with sensor data in a time series format. We transform the data into a linear format with convolutional kernels and classify with a random forest model.

HG4TS_SSF: Hierarchy Generation for Time Series using Stochastic Splitting Functions