This notebook demonstrates timeseries classification for crop identification on a subset of the MiniTimeMatch dataset by training an LSTM model.

Knights et al. (2021). Does HAROLD in motor cortex reflect compensation? Journal of Neuroscience.

Winning entry for the ERR@HRI competition, https://sites.google.com/cam.ac.uk/err-hri/

Timeseries classification code for detecting confusion and agent errors. Published in Transactions on Affective Computing..

Final project of my master in Computer Science & Technology at the University Carlos III of Madrid. The work is developed within the European project AI-SMECOT: Artificial Intelligence Based Smart Meter - Grid an communication technologies for Critical Infrastructures.

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.

This repository offers a collection of descriptions and download links for datasets related to Time Series Analysis, including tasks like forecasting, classification, and anomaly detection.

Code for Neurocritical Care 2022 paper: "Classification of Level of Consciousness in a Neurological ICU Using Physiological Data"