Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis
Fuente:
arXiv
Guardado en:
| Autores principales: | Marco-Blanco, Jorge, Cuevas, Rubén |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Enhanced Random Subspace Local Projections for High-Dimensional Time Series Analysis
por: Khalid, Eman, et al.
Publicado: (2026)
por: Khalid, Eman, et al.
Publicado: (2026)
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
por: Atashgahi, Zahra, et al.
Publicado: (2023)
por: Atashgahi, Zahra, et al.
Publicado: (2023)
Online Time Series Forecasting with Theoretical Guarantees
por: Li, Zijian, et al.
Publicado: (2025)
por: Li, Zijian, et al.
Publicado: (2025)
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
por: Kamarthi, Harshavardhan, et al.
Publicado: (2024)
por: Kamarthi, Harshavardhan, et al.
Publicado: (2024)
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
por: Yao, Yunzhen, et al.
Publicado: (2025)
por: Yao, Yunzhen, et al.
Publicado: (2025)
ARTA: Adversarial-Robust Multivariate Time--Series Anomaly Detection via Sparsity-Constrained Perturbations
por: Hojjati, Hadi, et al.
Publicado: (2026)
por: Hojjati, Hadi, et al.
Publicado: (2026)
On Multivariate Financial Time Series Classification
por: Bournassenko, Grégory
Publicado: (2025)
por: Bournassenko, Grégory
Publicado: (2025)
The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification
por: Middlehurst, Matthew, et al.
Publicado: (2026)
por: Middlehurst, Matthew, et al.
Publicado: (2026)
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
por: Yeh, Chin-Chia Michael, et al.
Publicado: (2024)
por: Yeh, Chin-Chia Michael, et al.
Publicado: (2024)
Early Classification of Time Series: A Survey and Benchmark
por: Renault, Aurélien, et al.
Publicado: (2024)
por: Renault, Aurélien, et al.
Publicado: (2024)
TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
por: Ma, Hongnan, et al.
Publicado: (2025)
por: Ma, Hongnan, et al.
Publicado: (2025)
Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language
por: Zhang, Yunkai, et al.
Publicado: (2025)
por: Zhang, Yunkai, et al.
Publicado: (2025)
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
por: Reuss, Joana, et al.
Publicado: (2024)
por: Reuss, Joana, et al.
Publicado: (2024)
Adaptive Classification of Interval-Valued Time Series
por: Tian, Wan, et al.
Publicado: (2025)
por: Tian, Wan, et al.
Publicado: (2025)
Robust Explainer Recommendation for Time Series Classification
por: Nguyen, Thu Trang, et al.
Publicado: (2023)
por: Nguyen, Thu Trang, et al.
Publicado: (2023)
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification
por: Zhang, Yunrui, et al.
Publicado: (2025)
por: Zhang, Yunrui, et al.
Publicado: (2025)
Temporal Streaming Batch Principal Component Analysis for Time Series Classification
por: Yan, Enshuo, et al.
Publicado: (2024)
por: Yan, Enshuo, et al.
Publicado: (2024)
A Regime-Aware Fusion Framework for Time Series Classification
por: Chauhan, Honey Singh, et al.
Publicado: (2025)
por: Chauhan, Honey Singh, et al.
Publicado: (2025)
Time Series Embedding Methods for Classification Tasks: A Review
por: Irani, Habib, et al.
Publicado: (2025)
por: Irani, Habib, et al.
Publicado: (2025)
A Dictionary-based approach to Time Series Ordinal Classification
por: Ayllón-Gavilán, Rafael, et al.
Publicado: (2023)
por: Ayllón-Gavilán, Rafael, et al.
Publicado: (2023)
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
por: Vaca-Rubio, Cristian J., et al.
Publicado: (2024)
por: Vaca-Rubio, Cristian J., et al.
Publicado: (2024)
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification
por: Chen, Yuxuan, et al.
Publicado: (2025)
por: Chen, Yuxuan, et al.
Publicado: (2025)
Correlation Analysis of Adversarial Attack in Time Series Classification
por: Li, Zhengyang, et al.
Publicado: (2024)
por: Li, Zhengyang, et al.
Publicado: (2024)
Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
por: Li, Haoran, et al.
Publicado: (2025)
por: Li, Haoran, et al.
Publicado: (2025)
POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection Perspective
por: Chen, Shaowu, et al.
Publicado: (2023)
por: Chen, Shaowu, et al.
Publicado: (2023)
Multi-Modal Traffic Analysis: Integrating Time-Series Forecasting, Accident Prediction, and Image Classification
por: M, Nivedita, et al.
Publicado: (2025)
por: M, Nivedita, et al.
Publicado: (2025)
TimeSliver : Symbolic-Linear Decomposition for Explainable Time Series Classification
por: Pandey, Akash, et al.
Publicado: (2026)
por: Pandey, Akash, et al.
Publicado: (2026)
Advancing Time Series Classification with Multimodal Language Modeling
por: Cheng, Mingyue, et al.
Publicado: (2024)
por: Cheng, Mingyue, et al.
Publicado: (2024)
Time-Series Classification with Multivariate Statistical Dependence Features
por: Sun, Yao, et al.
Publicado: (2026)
por: Sun, Yao, et al.
Publicado: (2026)
Hierarchical Classification Auxiliary Network for Time Series Forecasting
por: Sun, Yanru, et al.
Publicado: (2024)
por: Sun, Yanru, et al.
Publicado: (2024)
Look Into the LITE in Deep Learning for Time Series Classification
por: Ismail-Fawaz, Ali, et al.
Publicado: (2024)
por: Ismail-Fawaz, Ali, et al.
Publicado: (2024)
Graph-Aware Contrasting for Multivariate Time-Series Classification
por: Wang, Yucheng, et al.
Publicado: (2023)
por: Wang, Yucheng, et al.
Publicado: (2023)
Univariate Channel Fusion for Multivariate Time Series Classification
por: Moro, Fernando, et al.
Publicado: (2026)
por: Moro, Fernando, et al.
Publicado: (2026)
Rank Supervised Contrastive Learning for Time Series Classification
por: Ren, Qianying, et al.
Publicado: (2024)
por: Ren, Qianying, et al.
Publicado: (2024)
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
por: Huang, Weizhong, et al.
Publicado: (2025)
por: Huang, Weizhong, et al.
Publicado: (2025)
Sparse Mixture-of-Experts for Compositional Generalization: Empirical Evidence and Theoretical Foundations of Optimal Sparsity
por: Zhao, Jinze, et al.
Publicado: (2024)
por: Zhao, Jinze, et al.
Publicado: (2024)
TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis
por: Zhao, Haokun, et al.
Publicado: (2025)
por: Zhao, Haokun, et al.
Publicado: (2025)
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
por: Talukder, Sabera, et al.
Publicado: (2024)
por: Talukder, Sabera, et al.
Publicado: (2024)
A Unified Shape-Aware Foundation Model for Time Series Classification
por: Liu, Zhen, et al.
Publicado: (2026)
por: Liu, Zhen, et al.
Publicado: (2026)
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification
por: Barreda, Jesus, et al.
Publicado: (2024)
por: Barreda, Jesus, et al.
Publicado: (2024)
Ejemplares similares
-
Enhanced Random Subspace Local Projections for High-Dimensional Time Series Analysis
por: Khalid, Eman, et al.
Publicado: (2026) -
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
por: Atashgahi, Zahra, et al.
Publicado: (2023) -
Online Time Series Forecasting with Theoretical Guarantees
por: Li, Zijian, et al.
Publicado: (2025) -
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
por: Kamarthi, Harshavardhan, et al.
Publicado: (2024) -
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
por: Yao, Yunzhen, et al.
Publicado: (2025)