Saved in:
| Main Authors: | Middlehurst, Matthew, Large, James, Flynn, Michael, Lines, Jason, Bostrom, Aaron, Bagnall, Anthony |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2104.07551 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
by: Middlehurst, Matthew, et al.
Published: (2022)
by: Middlehurst, Matthew, et al.
Published: (2022)
On time series clustering with k-means
by: Holder, Christopher, et al.
Published: (2024)
by: Holder, Christopher, et al.
Published: (2024)
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)
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)
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)
aeon: a Python toolkit for learning from time series
by: Middlehurst, Matthew, et al.
Published: (2024)
by: Middlehurst, Matthew, et al.
Published: (2024)
The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification
by: Middlehurst, Matthew, et al.
Published: (2026)
by: Middlehurst, Matthew, et al.
Published: (2026)
Soft-MSM: Differentiable Context-Aware Elastic Alignment for Time Series
by: Holder, Christopher, et al.
Published: (2026)
by: Holder, Christopher, et al.
Published: (2026)
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering
by: Holder, Christopher, et al.
Published: (2024)
by: Holder, Christopher, et al.
Published: (2024)
HIVE: Harnessing Human Feedback for Instructional Visual Editing
by: Zhang, Shu, et al.
Published: (2023)
by: Zhang, Shu, et al.
Published: (2023)
On some new and curious Thysanoptera (Tubulifera) from Papua
by: Bagnall, Richard S
Published: (1908)
by: Bagnall, Richard S
Published: (1908)
LXVI.—On Philoscia patiencei, sp. n., a new terrestrial Isopod
by: Bagnall, Richard S
Published: (1908)
by: Bagnall, Richard S
Published: (1908)
Explainable classification of astronomical uncertain time series
by: Mbouopda, Michael Franklin, et al.
Published: (2022)
by: Mbouopda, Michael Franklin, et al.
Published: (2022)
Improving performance of heart rate time series classification by grouping subjects
by: Beekhuizen, Michael, et al.
Published: (2023)
by: Beekhuizen, Michael, et al.
Published: (2023)
RED CoMETS: An ensemble classifier for symbolically represented multivariate time series
by: Bennett, Luca A., et al.
Published: (2023)
by: Bennett, Luca A., 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)
Deep sub-ensembles meets quantile regression: uncertainty-aware imputation for time series
by: Liu, Ying, et al.
Published: (2023)
by: Liu, Ying, et al.
Published: (2023)
Automated regime classification in multidimensional time series data using sliced Wasserstein k-means clustering
by: Luan, Qinmeng, et al.
Published: (2023)
by: Luan, Qinmeng, et al.
Published: (2023)
CÔTE D’IVOIRE
Published: (2025)
Published: (2025)
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification
by: Thuy, Arthur, et al.
Published: (2024)
by: Thuy, Arthur, et al.
Published: (2024)
Castor: Competing shapelets for fast and accurate time series classification
by: Samsten, Isak, et al.
Published: (2024)
by: Samsten, Isak, et al.
Published: (2024)
TSFM in-context learning for time-series classification of bearing-health status
by: Tokic, Michel, et al.
Published: (2025)
by: Tokic, Michel, et al.
Published: (2025)
Evaluation of post-hoc interpretability methods in time-series classification
by: Turbé, Hugues, et al.
Published: (2022)
by: Turbé, Hugues, et al.
Published: (2022)
Relative Information Gain and Gaussian Process Regression
by: Flynn, Hamish
Published: (2025)
by: Flynn, Hamish
Published: (2025)
BiHDTrans: binary hyperdimensional transformer for efficient multivariate time series classification
by: Zhang, Jingtao, et al.
Published: (2025)
by: Zhang, Jingtao, et al.
Published: (2025)
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels
by: Uribarri, Gonzalo, et al.
Published: (2023)
by: Uribarri, Gonzalo, et al.
Published: (2023)
MAGIC: Multi-task Gaussian process for joint imputation and classification in healthcare time series
by: Ku, Dohyun, et al.
Published: (2025)
by: Ku, Dohyun, et al.
Published: (2025)
Interpretable Graph Neural Networks for Heterogeneous Tabular Data
by: Alkhatib, Amr, et al.
Published: (2024)
by: Alkhatib, Amr, et al.
Published: (2024)
AN An ica-ensemble learning approach for prediction of uwb nlos signals data classification
by: Enoch, Jiya A., et al.
Published: (2024)
by: Enoch, Jiya A., et al.
Published: (2024)
Selective classification using a robust meta-learning approach
by: Jain, Nishant, et al.
Published: (2022)
by: Jain, Nishant, et al.
Published: (2022)
VNN-LIB 2.0: Rigorous Foundations for Neural Network Verification
by: Roy, Ann, et al.
Published: (2026)
by: Roy, Ann, et al.
Published: (2026)
InceptionTime vs. Wavelet -- A comparison for time series classification
by: Klenkert, Daniel, et al.
Published: (2024)
by: Klenkert, Daniel, et al.
Published: (2024)
Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting
by: Espinosa, Raquel, et al.
Published: (2023)
by: Espinosa, Raquel, et al.
Published: (2023)
CURLING DE DENIS COTÉ
by:
Published: (2011)
by:
Published: (2011)
The duality structure gradient descent algorithm: analysis and applications to neural networks
by: Flynn, Thomas
Published: (2017)
by: Flynn, Thomas
Published: (2017)
A Contribution towards a Knowledge of the Neotropical Thysanoptera
by: Bagnall, Richard S
Published: (1910)
by: Bagnall, Richard S
Published: (1910)
Digital Imaging of Papyri. A Report to the Commission on Preservation and Access.
by: Bagnall, Roger S.
Published: (1995)
by: Bagnall, Roger S.
Published: (1995)
SERIOUS CARD GAME Print & Play: The HIVE
by: Boté-Vericad, Juan-José, et al.
Published: (2025)
by: Boté-Vericad, Juan-José, et al.
Published: (2025)
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs
by: Werner, Julia, et al.
Published: (2023)
by: Werner, Julia, et al.
Published: (2023)
Similar Items
-
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
by: Middlehurst, Matthew, et al.
Published: (2023) -
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
by: Middlehurst, Matthew, et al.
Published: (2022) -
On time series clustering with k-means
by: Holder, Christopher, et al.
Published: (2024) -
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering
by: Holder, Chris, et al.
Published: (2022) -
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers
by: Large, James, et al.
Published: (2018)