Papers matching “time series feature extraction” 46
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Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting2022 International Conference on Time Series and Forecasting (ITISE) conference-paper Computer Science Time Series Analysis and Forecasting Open access
Can Wang, Mitra Baratchi, Thomas Bäck, Holger H. Hoos, Steffen Limmer, Markus Olhofer
31citations -
Tree-based learning on amperometric time series data demonstrates high accuracy for classification2024 International Journal of Data Science and Analytics article Computer Science Time Series Analysis and Forecasting Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Mohaddeseh Amir-Aref, Xiulan He, Soodabeh Majdi, +2 more
2citations -
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification2023 arXiv (Cornell University) preprint Chemistry Electrochemical Analysis and Applications Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Xiulan He, Soodabeh Majdi, Andreas Schuppert, +1 more
1citations -
Light-curve fingerprints: an automated approach to the extraction of X-ray variability patterns with feature aggregation – an example application to GRS 1915+1052021 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Astrophysical Phenomena and Observations Open access
Jakub K. Orwat-Kapola, Antony J. Bird, Adam B. Hill, D. Altamirano, Daniela Huppenkothen
10citations -
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography2024 Computer Methods and Programs in Biomedicine article Computer Science Explainable Artificial Intelligence (XAI) Open access
Alexander Brenner, Felix Knispel, Florian P. Fischer, Peter Rossmanith, Yvonne G. Weber, Henner Koch, +3 more
13citations -
bletl - A Python Package for Integrating Microbioreactors in the Design-Build-Test-Learn Cycle2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access
Michael Osthege, Niklas Tenhaef, Rebecca Zyla, Carolin Müller, Johannes Hemmerich, Wolfgang Wiechert, +2 more
3citations -
Congestion assessment using a self-supervised contrastive learning-derived risk index in patients with congestive heart failure (CONAN): protocol and design of a prospective cohort study2025 European Heart Journal - Digital Health article Medicine Heart Failure Treatment and Management Open access
Bojan Hartmann, Niels‐Ulrik Korbinian Hartmann, Julia Brandts, Marlo Verket, Nikolaus Marx, Niveditha Dinesh, +7 more
0citations -
bletl ‐ A Python package for integrating BioLector microcultivation devices in the Design‐Build‐Test‐Learn cycle2022 Engineering in Life Sciences software-paper Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access
Michael Osthege, Niklas Tenhaef, Rebecca Zyla, Carolin Müller, Johannes Hemmerich, Wolfgang Wiechert, +2 more
42citations -
Interpretable weld quality prediction in ultrasonic metal welding using change point detection2026 Discover Mechanical Engineering article Engineering Advanced Welding Techniques Analysis Open access
Oliver Stockemer, Eric Helfers, Elson Pinto, Alexander Schiebahn, Uwe Reisgen, Burkhard Corves
1citations -
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Anja Jankovič, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, +1 more
2citations -
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury2023 arXiv (Cornell University) preprint Computer Science Machine Learning in Healthcare Open access
Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia A. I. Åkerlund, Lindsay Wilson, Robert David Stevens, David Krishna Menon, +3 more
2citations -
Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data2020 IEEE International Conference on Big Data (BigData) conference-paper Engineering Muscle activation and electromyography studies Open access
Marios Kefalas, Milan Koch, Victor Jacobus Geraedts, Hao Wang, Martijn Rudolf Tannemaat, Thomas Bäck
11citations