Time Series Classification

Time series data is very common in many real-world applications and in numerous domains, with increasing interest for automated information extraction using machine learning. One of these subfields is time series classif…

Time Series Classification Information Extraction

Multi-Class Electrical and Mechanical Fault Classification Using Random Convolutional Kernels

2026-08-19 · Mouhamadou Mansour Lo, Mouad Talbaoui, Gildas Morvan, Mathieu Rossi 외 arxiv

Diagnosing faults in rotating machinery is essential for ensuring the reliability of industrial processes. Random convolutional kernel-based Time Series Classification (TSC) methods, such as ROCKET and its variants, prov…

Time Series Classification Computational Efficiency

Scaling Time Series Classification via XAI-Driven Data Reduction

2026-07-17 · Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim arxiv

Explainable AI (XAI) for time series has seen significant algorithmic growth, but its utility in providing measurable performance gains for downstream tasks remains under-explored. This paper bridges this gap by introduc…

Time Series Classification Time Series Analysis Feature Importance

QCNN with Rough Path Signature Kernels

2026-07-08 · Leonardo Nogueira Falabella, Vasily Sazonov arxiv

Time series analysis plays a vital role across a wide range of scientific and engineering domains but poses substantial computational challenges. A major difficulty arises from the time reparameterization invariance of t…

Time Series Classification Binary Classification Time Series Analysis

TimEE: End-to-end Time Series Classification via In-Context Learning

2026-07-08 · Jaris Küken, Shi Bin Hoo, Martin Mráz, Frank Hutter 외 arxiv

Time series classification (TSC) is dominated by a two-stage paradigm: train a feature encoder -- either from scratch on the target dataset or via pretraining on large corpora -- and then fit a task-specific classifier o…

Time Series Classification Representation Learning

Enhancing deep learning models for time series classification via knowledge distillation

2026-07-07 · Javidan Abdullayev, Maxime Devanne, Jonathan Weber, Germain Forestier arxiv

Deep learning has achieved remarkable success in various domains including time series analysis, computer vision and natural language processing. However, high computational and memory demands of state-of-the-art archite…

Time Series Classification Knowledge Distillation Time Series Analysis

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