The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Middlehurst, Matthew, Rushbrooke, Aiden, Ismail-Fawaz, Ali, Devanne, Maxime, Forestier, Germain, Dempster, Angus, Webb, Geoffrey I., Holder, Christopher, Bagnall, Anthony |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Look Into the LITE in Deep Learning for Time Series Classification
by: Ismail-Fawaz, Ali, et al.
Published: (2024)
by: Ismail-Fawaz, Ali, et al.
Published: (2024)
Finding Foundation Models for Time Series Classification with a PreText Task
by: Ismail-Fawaz, Ali, et al.
Published: (2023)
by: Ismail-Fawaz, Ali, et al.
Published: (2023)
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering
by: Holder, Chris, et al.
Published: (2022)
by: Holder, Chris, et al.
Published: (2022)
Adaptive Structured Pruning of Convolutional Neural Networks for Time Series Classification
by: Abdullayev, Javidan, et al.
Published: (2026)
by: Abdullayev, Javidan, et al.
Published: (2026)
Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles
by: Abdullayev, Javidan, et al.
Published: (2026)
by: Abdullayev, Javidan, et al.
Published: (2026)
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
by: Middlehurst, Matthew, et al.
Published: (2022)
by: Middlehurst, Matthew, et al.
Published: (2022)
Failure Risk Prediction in a MOOC: A Multivariate Time Series Analysis Approach
by: Ayady, Anass El, et al.
Published: (2025)
by: Ayady, Anass El, et al.
Published: (2025)
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering
by: Holder, Christopher, et al.
Published: (2024)
by: Holder, Christopher, et al.
Published: (2024)
Soft-MSM: Differentiable Context-Aware Elastic Alignment for Time Series
by: Holder, Christopher, et al.
Published: (2026)
by: Holder, Christopher, et al.
Published: (2026)
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics
by: Ismail-Fawaz, Ali, et al.
Published: (2024)
by: Ismail-Fawaz, Ali, et al.
Published: (2024)
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark
by: Ismail-Fawaz, Ali, et al.
Published: (2025)
by: Ismail-Fawaz, Ali, et al.
Published: (2025)
Pruning Extensions and Efficiency Trade-Offs for Sustainable Time Series Classification
by: Fischer, Raphael, et al.
Published: (2026)
by: Fischer, Raphael, et al.
Published: (2026)
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression
by: Guijo-Rubio, David, et al.
Published: (2023)
by: Guijo-Rubio, David, et al.
Published: (2023)
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
by: Middlehurst, Matthew, et al.
Published: (2023)
by: Middlehurst, Matthew, et al.
Published: (2023)
Improving Position Encoding of Transformers for Multivariate Time Series Classification
by: Foumani, Navid Mohammadi, et al.
Published: (2023)
by: Foumani, Navid Mohammadi, et al.
Published: (2023)
Deep Learning For Time Series Analysis With Application On Human Motion
by: Ismail-Fawaz, Ali
Published: (2025)
by: Ismail-Fawaz, Ali
Published: (2025)
A Simple State Space Model Excels at Multivariate Time Series Classification
by: Saadatmand, Hassan, et al.
Published: (2026)
by: Saadatmand, Hassan, et al.
Published: (2026)
MONSTER: Monash Scalable Time Series Evaluation Repository
by: Dempster, Angus, et al.
Published: (2025)
by: Dempster, Angus, et al.
Published: (2025)
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers
by: Large, James, et al.
Published: (2018)
by: Large, James, et al.
Published: (2018)
aeon: a Python toolkit for learning from time series
by: Middlehurst, Matthew, et al.
Published: (2024)
by: Middlehurst, Matthew, et al.
Published: (2024)
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
by: Dempster, Angus, et al.
Published: (2024)
by: Dempster, Angus, et al.
Published: (2024)
On time series clustering with k-means
by: Holder, Christopher, et al.
Published: (2024)
by: Holder, Christopher, et al.
Published: (2024)
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
by: Fawaz, Hassan Ismail, et al.
Published: (2023)
by: Fawaz, Hassan Ismail, et al.
Published: (2023)
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification
by: Ayllón-Gavilán, Rafael, et al.
Published: (2023)
by: Ayllón-Gavilán, Rafael, et al.
Published: (2023)
On Multivariate Financial Time Series Classification
by: Bournassenko, Grégory
Published: (2025)
by: Bournassenko, Grégory
Published: (2025)
HIVE-COTE 2.0: a new meta ensemble for time series classification
by: Middlehurst, Matthew, et al.
Published: (2021)
by: Middlehurst, Matthew, et al.
Published: (2021)
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
by: Darban, Zahra Zamanzadeh, et al.
Published: (2024)
by: Darban, Zahra Zamanzadeh, et al.
Published: (2024)
Deep Learning for Satellite Image Time Series Analysis: A Review
by: Miller, Lynn, et al.
Published: (2024)
by: Miller, Lynn, et al.
Published: (2024)
Time-Series Classification with Multivariate Statistical Dependence Features
by: Sun, Yao, et al.
Published: (2026)
by: Sun, Yao, et al.
Published: (2026)
ST-Tree with Interpretability for Multivariate Time Series Classification
by: Du, Mingsen, et al.
Published: (2024)
by: Du, Mingsen, et al.
Published: (2024)
Graph-Aware Contrasting for Multivariate Time-Series Classification
by: Wang, Yucheng, et al.
Published: (2023)
by: Wang, Yucheng, et al.
Published: (2023)
Univariate Channel Fusion for Multivariate Time Series Classification
by: Moro, Fernando, et al.
Published: (2026)
by: Moro, Fernando, et al.
Published: (2026)
Data Augmentation for Multivariate Time Series Classification: An Experimental Study
by: Ilbert, Romain, et al.
Published: (2024)
by: Ilbert, Romain, et al.
Published: (2024)
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
by: Lin, Xiao, et al.
Published: (2025)
by: Lin, Xiao, et al.
Published: (2025)
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification
by: Le, Xuan-May, et al.
Published: (2024)
by: Le, Xuan-May, et al.
Published: (2024)
Time Series Foundation Models for Multivariate Financial Time Series Forecasting
by: Marconi, Ben A.
Published: (2025)
by: Marconi, Ben A.
Published: (2025)
Wavelet Probabilistic Recurrent Convolutional Network for Multivariate Time Series Classification
by: Yang, Pu, et al.
Published: (2025)
by: Yang, Pu, et al.
Published: (2025)
ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts
by: Małkus, Bartłomiej, et al.
Published: (2025)
by: Małkus, Bartłomiej, et al.
Published: (2025)
Causal and Local Correlations Based Network for Multivariate Time Series Classification
by: Du, Mingsen, et al.
Published: (2024)
by: Du, Mingsen, et al.
Published: (2024)
Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
by: Dissanayake, Oshana, et al.
Published: (2024)
by: Dissanayake, Oshana, et al.
Published: (2024)
Similar Items
-
Look Into the LITE in Deep Learning for Time Series Classification
by: Ismail-Fawaz, Ali, et al.
Published: (2024) -
Finding Foundation Models for Time Series Classification with a PreText Task
by: Ismail-Fawaz, Ali, et al.
Published: (2023) -
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering
by: Holder, Chris, et al.
Published: (2022) -
Adaptive Structured Pruning of Convolutional Neural Networks for Time Series Classification
by: Abdullayev, Javidan, et al.
Published: (2026) -
Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles
by: Abdullayev, Javidan, et al.
Published: (2026)