Distributed and parallel time series feature extraction for industrial
big data applications

Distributed and parallel time series feature extraction for industrial big data applications

25 October 2016

Maximilian Christ

Papers citing "Distributed and parallel time series feature extraction for industrial big data applications"

12 / 12 papers shown

Title
On Multivariate Financial Time Series Classification Grégory Bournassenko AI4TS AIFin 51 0 0 24 Apr 2025
Automated Machine Learning for Remaining Useful Life Predictions Marc Zoller Fabian Mauthe P. Zeiler Marius Lindauer Marco F. Huber AI4CE 54 5 0 20 Jan 2025
Optimal starting point for time series forecasting Yiming Zhong Yinuo Ren Guangyao Cao Feng Li Haobo Qi AI4TS 36 1 0 25 Sep 2024
KPIs-Based Clustering and Visualization of HPC jobs: a Feature Reduction Approach Mohamed Soliman Halawa R. Redondo Ana Fernández Vilas 13 1 0 11 Dec 2023
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion Aurélien Renault A. Bondu V. Lemaire D. Gay AI4TS 30 1 0 02 Aug 2023
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 25 0 0 24 Aug 2022
Intrinsic Anomaly Detection for Multi-Variate Time Series Stephan Rabanser Tim Januschowski Kashif Rasul Oliver Borchert Richard Kurle Jan Gasthaus Michael Bohlke-Schneider Nicolas Papernot Valentin Flunkert AI4TS 28 4 0 29 Jun 2022
Human Activity Recognition from Knee Angle Using Machine Learning Techniques Farhad Nazari D. Nahavandi N. Mohajer Abbas Khosravi 25 14 0 09 Jun 2022
Local Exceptionality Detection in Time Series Using Subgroup Discovery Dane A. Hudson Travis J. Wiltshire Martin Atzmueller AI4TS 17 3 0 05 Aug 2021
Feature engineering workflow for activity recognition from synchronized inertial measurement units A. Kempa-Liehr J. Oram Andrew Wong M. Finch T. Besier 37 5 0 18 Dec 2019
Multi-Statistic Approximate Bayesian Computation with Multi-Armed Bandits Prashant Singh A. Hellander 21 2 0 22 May 2018
Feature-based time-series analysis Ben D. Fulcher AI4TS 21 131 0 23 Sep 2017