Copertina

Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Arunan, Anushiya, Qin, Yan, Li, Xiaoli, Chau, Yuen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Change Point Detection Integrated Remaining Useful Life Estimation Model under Variable Operating Conditions
di: Arunan, Anushiya, et al.
Pubblicazione: (2024)

Learning More with Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation with EV Charging Data
di: Arunan, Anushiya, et al.
Pubblicazione: (2025)

Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification
di: Liu, Ziyu, et al.
Pubblicazione: (2024)

Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation
di: Gong, Peiliang, et al.
Pubblicazione: (2025)

Entropy Guided Dynamic Patch Segmentation for Time Series Transformers
di: Abeywickrama, Sachith, et al.
Pubblicazione: (2025)

A Unified Contrastive-Generative Framework for Time Series Classification
di: Liu, Ziyu, et al.
Pubblicazione: (2025)

Empowering Time Series Forecasting with LLM-Agents
di: Yeh, Chin-Chia Michael, et al.
Pubblicazione: (2025)

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
di: Wang, Yuxuan, et al.
Pubblicazione: (2024)

FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification
di: Tian, Tian, et al.
Pubblicazione: (2025)

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding
di: Zhang, Haochuan, et al.
Pubblicazione: (2025)

Empowering Contrastive Federated Sequential Recommendation with LLMs
di: Nguyen, Thi Minh Chau, et al.
Pubblicazione: (2026)

Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification
di: Du, Mingsen, et al.
Pubblicazione: (2024)

Dynamic Multi-Network Mining of Tensor Time Series
di: Obata, Kohei, et al.
Pubblicazione: (2024)

Repetitive Contrastive Learning Enhances Mamba's Selectivity in Time Series Prediction
di: Yan, Wenbo, et al.
Pubblicazione: (2025)

LEAVES: Learning Views for Time-Series Biobehavioral Data in Contrastive Learning
di: Yu, Han, et al.
Pubblicazione: (2022)

Tensor-Fused Multi-View Graph Contrastive Learning
di: Wu, Yujia, et al.
Pubblicazione: (2024)

Soft Contrastive Learning for Time Series
di: Lee, Seunghan, et al.
Pubblicazione: (2023)

Contrastive Time Series Forecasting with Anomalies
di: Ekstrand, Joel, et al.
Pubblicazione: (2025)

Meta-learning to Address Data Shift in Time Series Classification
di: Myren, Samuel, et al.
Pubblicazione: (2026)

Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting
di: Green, Riku, et al.
Pubblicazione: (2024)

TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting
di: Kong, Linghang, et al.
Pubblicazione: (2024)

Retrieval Augmented Time Series Forecasting
di: Tire, Kutay, et al.
Pubblicazione: (2024)

Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
di: Oh, YongKyung, et al.
Pubblicazione: (2025)

TADA: Temporal Adversarial Data Augmentation for Time Series Data
di: Lee, Byeong Tak, et al.
Pubblicazione: (2024)

Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey
di: Ye, Jiexia, et al.
Pubblicazione: (2024)

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
di: Wang, Yihe, et al.
Pubblicazione: (2024)

Rapid Augmentations for Time Series (RATS): A High-Performance Library for Time Series Augmentation
di: Skaf, Wadie, et al.
Pubblicazione: (2026)

Denoising-Aware Contrastive Learning for Noisy Time Series
di: Zhou, Shuang, et al.
Pubblicazione: (2024)

TopoCL: Topological Contrastive Learning for Time Series
di: Kim, Namwoo, et al.
Pubblicazione: (2025)

RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
di: Mou, Xudong, et al.
Pubblicazione: (2025)

CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data
di: Xie, Shifeng, et al.
Pubblicazione: (2025)

UTICA: Multi-Objective Self-Distllation Foundation Model Pretraining for Time Series Classification
di: Moakher, Yessin, et al.
Pubblicazione: (2026)

Numerion: A Multi-Hypercomplex Model for Time Series Forecasting
di: Cao, Hanzhong, et al.
Pubblicazione: (2025)

Multi-task Domain Adaptation for Computation Offloading in Edge-intelligence Networks
di: Han, Runxin, et al.
Pubblicazione: (2025)

When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference
di: Ye, Wen, et al.
Pubblicazione: (2025)

Time Series Representation Learning with Supervised Contrastive Temporal Transformer
di: Liu, Yuansan, et al.
Pubblicazione: (2024)

Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting
di: Ekstrand, Joel, et al.
Pubblicazione: (2025)

Explaining Time Series via Contrastive and Locally Sparse Perturbations
di: Liu, Zichuan, et al.
Pubblicazione: (2024)

Semi-Periodic Activation for Time Series Classification
di: Júnior, José Gilberto Barbosa de Medeiros, et al.
Pubblicazione: (2024)

What-If Explanations Over Time: Counterfactuals for Time Series Classification
di: Schlegel, Udo, et al.
Pubblicazione: (2026)