Saved in:
| Main Authors: | Ilbert, Romain, Hoang, Thai V., Zhang, Zonghua |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.06518 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
by: Ilbert, Romain, et al.
Published: (2023)
by: Ilbert, Romain, et al.
Published: (2023)
User-friendly Foundation Model Adapters for Multivariate Time Series Classification
by: Feofanov, Vasilii, et al.
Published: (2024)
by: Feofanov, Vasilii, et al.
Published: (2024)
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
by: Feofanov, Vasilii, et al.
Published: (2025)
by: Feofanov, Vasilii, et al.
Published: (2025)
On Multivariate Financial Time Series Classification
by: Bournassenko, Grégory
Published: (2025)
by: Bournassenko, Grégory
Published: (2025)
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
by: Ilbert, Romain, et al.
Published: (2024)
by: Ilbert, Romain, et al.
Published: (2024)
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
by: Ilbert, Romain, et al.
Published: (2024)
by: Ilbert, Romain, et al.
Published: (2024)
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
by: Gao, Zijun, et al.
Published: (2023)
by: Gao, Zijun, 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)
by: Middlehurst, Matthew, et al.
Published: (2026)
Time-Series Classification with Multivariate Statistical Dependence Features
by: Sun, Yao, et al.
Published: (2026)
by: Sun, Yao, et al.
Published: (2026)
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)
ST-Tree with Interpretability for Multivariate Time Series Classification
by: Du, Mingsen, et al.
Published: (2024)
by: Du, Mingsen, et al.
Published: (2024)
WSS-CL: Weight Saliency Soft-Guided Contrastive Learning for Efficient Machine Unlearning Image Classification
by: Tran, Thang Duc, et al.
Published: (2025)
by: Tran, Thang Duc, et al.
Published: (2025)
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
by: Serramazza, Davide Italo, et al.
Published: (2024)
by: Serramazza, Davide Italo, et al.
Published: (2024)
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)
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification
by: Le, Xuan-May, et al.
Published: (2024)
by: Le, Xuan-May, 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)
Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics
by: de Souza, Douglas Baptista, et al.
Published: (2024)
by: de Souza, Douglas Baptista, et al.
Published: (2024)
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)
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)
Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
by: Dissanayake, Oshana, et al.
Published: (2024)
by: Dissanayake, Oshana, et al.
Published: (2024)
Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification
by: Ikeda, Sosei, et al.
Published: (2025)
by: Ikeda, Sosei, et al.
Published: (2025)
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)
Algorithmic Recourse in Abnormal Multivariate Time Series
by: Han, Xiao, et al.
Published: (2023)
by: Han, Xiao, et al.
Published: (2023)
Stationarity Exploration for Multivariate Time Series Forecasting
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
by: Pham, Anh-Duy, et al.
Published: (2025)
by: Pham, Anh-Duy, et al.
Published: (2025)
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification
by: Liu, Ziyu, et al.
Published: (2024)
by: Liu, Ziyu, et al.
Published: (2024)
Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification
by: Du, Mingsen, et al.
Published: (2024)
by: Du, Mingsen, et al.
Published: (2024)
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)
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)
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
by: Liu, Huaiyuan, et al.
Published: (2023)
by: Liu, Huaiyuan, et al.
Published: (2023)
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
by: Taga, Ege Onur, et al.
Published: (2025)
by: Taga, Ege Onur, et al.
Published: (2025)
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
by: Chen, Xiwen, et al.
Published: (2024)
by: Chen, Xiwen, et al.
Published: (2024)
Are KANs Effective for Multivariate Time Series Forecasting?
by: Han, Xiao, et al.
Published: (2024)
by: Han, Xiao, et al.
Published: (2024)
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
by: Wang, Yucheng, et al.
Published: (2023)
by: Wang, Yucheng, et al.
Published: (2023)
Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification
by: Yang, Wennuo, et al.
Published: (2025)
by: Yang, Wennuo, et al.
Published: (2025)
Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge
by: Ghawaly, James, et al.
Published: (2025)
by: Ghawaly, James, et al.
Published: (2025)
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
by: Langer, Patrick, et al.
Published: (2025)
by: Langer, Patrick, et al.
Published: (2025)
Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)
by: Zhang, Huiliang, et al.
Published: (2025)
Similar Items
-
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
by: Ilbert, Romain, et al.
Published: (2023) -
User-friendly Foundation Model Adapters for Multivariate Time Series Classification
by: Feofanov, Vasilii, et al.
Published: (2024) -
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
by: Feofanov, Vasilii, et al.
Published: (2025) -
On Multivariate Financial Time Series Classification
by: Bournassenko, Grégory
Published: (2025) -
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
by: Ilbert, Romain, et al.
Published: (2024)