GitHub topics: timeseries-classification
lwachowiak/When-and-What-to-Explain
Timeseries classification code for detecting confusion and agent errors. Published in Transactions on Affective Computing..
Language: Python - Size: 19.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
Tisandg/ElectricityFraudDetection
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.
Language: Jupyter Notebook - Size: 9.26 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
jinkwan1115/TimeSeriesDatasets
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.
Size: 84 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
lwachowiak/HRI-Error-Detection-STAI
Winning entry for the ERR@HRI competition, https://sites.google.com/cam.ac.uk/err-hri/
Language: Python - Size: 111 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
ethanknights/Knightsetal2021_HAROLD-MVB
Knights et al. (2021). Does HAROLD in motor cortex reflect compensation? Journal of Neuroscience.
Language: R - Size: 2.75 MB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
AdeLouis/Neuro2022-Consciousness-Classification Fork of health-ai-lab/consciousness-classification
Code for Neurocritical Care 2022 paper: "Classification of Level of Consciousness in a Neurological ICU Using Physiological Data"
Language: Python - Size: 19.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
rajesvariparasa/timeseries-classification-lstm
This notebook demonstrates timeseries classification for crop identification on a subset of the MiniTimeMatch dataset by training an LSTM model.
Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
JRJWegener/hard_drive_ML_capstone_project
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.
Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
