Invariant Features For Time-Series Classification

Thieme was instrumental in reforming my views on artificial intelligence and machine learning; literally achieving a quantum leap in moving from heuristic-based techniques towards principally-optimized methods.Prof. Dr. Alexandros Nanopoulos, on the other hand, patiently taught me the basics of research and dissemination.His dynamic assistance in the early days of my doctorate studies had a powerful influence in

Authors

Publication Details

Journal
HilDok – Institutional Repository (Universität Hildesheim)
Published
2025-08-21
DOI
https://doi.org/10.25528/277
Primary Topic
Time Series Analysis and Forecasting
Type
article

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article

Invariant Features For Time-Series Classification

Josif Grabocka
HilDok – Institutional Repository (Universität Hildesheim)
Time Series Analysis and Forecasting
article

Invariant Features For Time-Series Classification

Josif Grabocka
article en

Abstract

Thieme was instrumental in reforming my views on artificial intelligence and machine learning; literally achieving a quantum leap in moving from heuristic-based techniques towards principally-optimized methods.Prof. Dr. Alexandros Nanopoulos, on the other hand, patiently taught me the basics of research and dissemination.His dynamic assistance in the early days of my doctorate studies had a powerful influence in

HilDok – Institutional Repository (Universität Hildesheim)
European Commission
Time Series Analysis and Forecasting
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Invariant Features For Time-Series Classification — Josif Grabocka · HilDok – Institutional Repository (Universität Hildesheim) (2025) | TGRS Research Map | TGRS