Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Marco-Blanco, Jorge, Cuevas, Rubén |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhanced Random Subspace Local Projections for High-Dimensional Time Series Analysis
by: Khalid, Eman, et al.
Published: (2026)
by: Khalid, Eman, et al.
Published: (2026)
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
by: Atashgahi, Zahra, et al.
Published: (2023)
by: Atashgahi, Zahra, et al.
Published: (2023)
Online Time Series Forecasting with Theoretical Guarantees
by: Li, Zijian, et al.
Published: (2025)
by: Li, Zijian, et al.
Published: (2025)
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
by: Kamarthi, Harshavardhan, et al.
Published: (2024)
by: Kamarthi, Harshavardhan, et al.
Published: (2024)
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
by: Yao, Yunzhen, et al.
Published: (2025)
by: Yao, Yunzhen, et al.
Published: (2025)
ARTA: Adversarial-Robust Multivariate Time--Series Anomaly Detection via Sparsity-Constrained Perturbations
by: Hojjati, Hadi, et al.
Published: (2026)
by: Hojjati, Hadi, et al.
Published: (2026)
On Multivariate Financial Time Series Classification
by: Bournassenko, Grégory
Published: (2025)
by: Bournassenko, Grégory
Published: (2025)
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)
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)
Early Classification of Time Series: A Survey and Benchmark
by: Renault, Aurélien, et al.
Published: (2024)
by: Renault, Aurélien, et al.
Published: (2024)
TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
by: Ma, Hongnan, et al.
Published: (2025)
by: Ma, Hongnan, et al.
Published: (2025)
Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language
by: Zhang, Yunkai, et al.
Published: (2025)
by: Zhang, Yunkai, et al.
Published: (2025)
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
by: Reuss, Joana, et al.
Published: (2024)
by: Reuss, Joana, et al.
Published: (2024)
Adaptive Classification of Interval-Valued Time Series
by: Tian, Wan, et al.
Published: (2025)
by: Tian, Wan, et al.
Published: (2025)
Robust Explainer Recommendation for Time Series Classification
by: Nguyen, Thu Trang, et al.
Published: (2023)
by: Nguyen, Thu Trang, et al.
Published: (2023)
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification
by: Zhang, Yunrui, et al.
Published: (2025)
by: Zhang, Yunrui, et al.
Published: (2025)
Temporal Streaming Batch Principal Component Analysis for Time Series Classification
by: Yan, Enshuo, et al.
Published: (2024)
by: Yan, Enshuo, et al.
Published: (2024)
A Regime-Aware Fusion Framework for Time Series Classification
by: Chauhan, Honey Singh, et al.
Published: (2025)
by: Chauhan, Honey Singh, et al.
Published: (2025)
Time Series Embedding Methods for Classification Tasks: A Review
by: Irani, Habib, et al.
Published: (2025)
by: Irani, Habib, et al.
Published: (2025)
A Dictionary-based approach to Time Series Ordinal Classification
by: Ayllón-Gavilán, Rafael, et al.
Published: (2023)
by: Ayllón-Gavilán, Rafael, et al.
Published: (2023)
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
by: Vaca-Rubio, Cristian J., et al.
Published: (2024)
by: Vaca-Rubio, Cristian J., et al.
Published: (2024)
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification
by: Chen, Yuxuan, et al.
Published: (2025)
by: Chen, Yuxuan, et al.
Published: (2025)
Correlation Analysis of Adversarial Attack in Time Series Classification
by: Li, Zhengyang, et al.
Published: (2024)
by: Li, Zhengyang, et al.
Published: (2024)
Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
by: Li, Haoran, et al.
Published: (2025)
by: Li, Haoran, et al.
Published: (2025)
POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection Perspective
by: Chen, Shaowu, et al.
Published: (2023)
by: Chen, Shaowu, et al.
Published: (2023)
Multi-Modal Traffic Analysis: Integrating Time-Series Forecasting, Accident Prediction, and Image Classification
by: M, Nivedita, et al.
Published: (2025)
by: M, Nivedita, et al.
Published: (2025)
TimeSliver : Symbolic-Linear Decomposition for Explainable Time Series Classification
by: Pandey, Akash, et al.
Published: (2026)
by: Pandey, Akash, et al.
Published: (2026)
Advancing Time Series Classification with Multimodal Language Modeling
by: Cheng, Mingyue, et al.
Published: (2024)
by: Cheng, Mingyue, 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)
Hierarchical Classification Auxiliary Network for Time Series Forecasting
by: Sun, Yanru, et al.
Published: (2024)
by: Sun, Yanru, et al.
Published: (2024)
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)
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)
Rank Supervised Contrastive Learning for Time Series Classification
by: Ren, Qianying, et al.
Published: (2024)
by: Ren, Qianying, et al.
Published: (2024)
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
by: Huang, Weizhong, et al.
Published: (2025)
by: Huang, Weizhong, et al.
Published: (2025)
Sparse Mixture-of-Experts for Compositional Generalization: Empirical Evidence and Theoretical Foundations of Optimal Sparsity
by: Zhao, Jinze, et al.
Published: (2024)
by: Zhao, Jinze, et al.
Published: (2024)
TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis
by: Zhao, Haokun, et al.
Published: (2025)
by: Zhao, Haokun, et al.
Published: (2025)
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
by: Talukder, Sabera, et al.
Published: (2024)
by: Talukder, Sabera, et al.
Published: (2024)
A Unified Shape-Aware Foundation Model for Time Series Classification
by: Liu, Zhen, et al.
Published: (2026)
by: Liu, Zhen, et al.
Published: (2026)
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification
by: Barreda, Jesus, et al.
Published: (2024)
by: Barreda, Jesus, et al.
Published: (2024)
Similar Items
-
Enhanced Random Subspace Local Projections for High-Dimensional Time Series Analysis
by: Khalid, Eman, et al.
Published: (2026) -
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
by: Atashgahi, Zahra, et al.
Published: (2023) -
Online Time Series Forecasting with Theoretical Guarantees
by: Li, Zijian, et al.
Published: (2025) -
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
by: Kamarthi, Harshavardhan, et al.
Published: (2024) -
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
by: Yao, Yunzhen, et al.
Published: (2025)