:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Large, James, Bagnall, Anthony, Malinowski, Simon, Tavenard, Romain
Format:	Preprint
Published:	2018
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/1809.06751
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
by: Middlehurst, Matthew, et al.
Published: (2022)

Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering
by: Holder, Christopher, et al.
Published: (2024)

Soft-MSM: Differentiable Context-Aware Elastic Alignment for Time Series
by: Holder, Christopher, et al.
Published: (2026)

Differentiable Generalized Sliced Wasserstein Plans
by: Chapel, Laetitia, et al.
Published: (2025)

HIVE-COTE 2.0: a new meta ensemble for time series classification
by: Middlehurst, Matthew, et al.
Published: (2021)

A Review and Evaluation of Elastic Distance Functions for Time Series Clustering
by: Holder, Chris, et al.
Published: (2022)

Convolutional and Deep Learning based techniques for Time Series Ordinal Classification
by: Ayllón-Gavilán, Rafael, et al.
Published: (2023)

Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression
by: Guijo-Rubio, David, et al.
Published: (2023)

The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification
by: Middlehurst, Matthew, et al.
Published: (2026)

Vision Transformer Finetuning Benefits from Non-Smooth Components
by: Odonnat, Ambroise, et al.
Published: (2026)

A Dictionary-based approach to Time Series Ordinal Classification
by: Ayllón-Gavilán, Rafael, et al.
Published: (2023)

Layer by layer, module by module: Choose both for optimal OOD probing of ViT
by: Odonnat, Ambroise, et al.
Published: (2026)

Bake off redux: a review and experimental evaluation of recent time series classification algorithms
by: Middlehurst, Matthew, et al.
Published: (2023)

On time series clustering with k-means
by: Holder, Christopher, et al.
Published: (2024)

Data Augmentation for Multivariate Time Series Classification: An Experimental Study
by: Ilbert, Romain, et al.
Published: (2024)

Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference
by: Fang, Juntao, et al.
Published: (2026)

User-friendly Foundation Model Adapters for Multivariate Time Series Classification
by: Feofanov, Vasilii, et al.
Published: (2024)

We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification
by: Liu, Zhipeng, et al.
Published: (2026)

Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
by: Feofanov, Vasilii, et al.
Published: (2025)

Personalized Convolutional Dictionary Learning of Physiological Time Series
by: Roques, Axel, et al.
Published: (2025)

On Multivariate Financial Time Series Classification
by: Bournassenko, Grégory
Published: (2025)

Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks
by: Wang, Bohan, et al.
Published: (2026)

Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series
by: Renault, Aurélien, et al.
Published: (2025)

Sensor-Aware Classifiers for Energy-Efficient Time Series Applications on IoT Devices
by: Hussein, Dina, et al.
Published: (2024)

Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons
by: Alagoz, Celal
Published: (2024)

Universal Domain Adaptation Benchmark for Time Series Data Representation
by: Mussard, Romain, et al.
Published: (2025)

Strategic Classification with Randomised Classifiers
by: Geary, Jack, et al.
Published: (2025)

GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries
by: Bölat, Kutay, et al.
Published: (2024)

Large Language Models are Few-shot Multivariate Time Series Classifiers
by: Chen, Yakun, et al.
Published: (2025)

SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection
by: Fouladgar, Nazanin, et al.
Published: (2024)

Robust Explainer Recommendation for Time Series Classification
by: Nguyen, Thu Trang, et al.
Published: (2023)

Adaptive Classification of Interval-Valued Time Series
by: Tian, Wan, et al.
Published: (2025)

From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
by: Mercier, Dominique, et al.
Published: (2023)

Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification
by: Zhang, Yunrui, et al.
Published: (2025)

EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
by: Reuss, Joana, et al.
Published: (2024)

Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
by: Mussard, Romain, et al.
Published: (2025)

Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
by: Dissanayake, Oshana, et al.
Published: (2024)

Strategic Classification with Non-Linear Classifiers
by: Trachtenberg, Benyamin, et al.
Published: (2025)

Curriculum Design Helps Spiking Neural Networks to Classify Time Series
by: Sun, Chenxi, et al.
Published: (2023)

Structural Classification of Locally Stationary Time Series Based on Second-order Characteristics
by: Qian, Chen, et al.
Published: (2025)