Cover Image

Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Furqon, Muhammad Tanzil, Pratama, Mahardhika, Shiddiqi, Ary Mazharuddin, Liu, Lin, Habibullah, Habibullah, Dogancay, Kutluyil
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Source-Free Cross-Domain Continual Learning
by: Furqon, Muhammad Tanzil, et al.
Published: (2025)

Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)

Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
by: Furqon, M. T., et al.
Published: (2025)

PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025)

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model
by: Paeedeh, Naeem, et al.
Published: (2026)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
by: Ragab, Mohamed, et al.
Published: (2024)

Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
by: Paeedeh, Naeem, et al.
Published: (2024)

Continual Knowledge Consolidation LORA for Domain Incremental Learning
by: Paeedeh, Naeem, et al.
Published: (2025)

Time Series Diffusion in the Frequency Domain
by: Crabbé, Jonathan, et al.
Published: (2024)

Cross-Domain Continual Learning via CLAMP
by: Weng, Weiwei, et al.
Published: (2024)

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation
by: Gong, Peiliang, et al.
Published: (2025)

Weak-SIGReg: Covariance Regularization for Stable Deep Learning
by: Akbar, Habibullah
Published: (2026)

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models
by: Liu, Yiwen, et al.
Published: (2025)

Towards Cross-Domain Continual Learning
by: de Carvalho, Marcus, et al.
Published: (2024)

Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
by: Patel, Gaurav, et al.
Published: (2024)

Graph Mining under Data scarcity
by: Rakaraddi, Appan, et al.
Published: (2024)

Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
by: Fawaz, Hassan Ismail, et al.
Published: (2023)

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
by: Zhang, Zhen, et al.
Published: (2024)

Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025)

DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
by: Darban, Zahra Zamanzadeh, et al.
Published: (2024)

Few-Shot Class Incremental Learning via Robust Transformer Approach
by: Paeedeh, Naeem, et al.
Published: (2024)

Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
by: Huang, Yuanmin, et al.
Published: (2025)

Time Series Domain Adaptation via Latent Invariant Causal Mechanism
by: Cai, Ruichu, et al.
Published: (2025)

A Unified Frequency Domain Decomposition Framework for Interpretable and Robust Time Series Forecasting
by: He, Cheng, et al.
Published: (2025)

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2023)

Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
by: Paeedeh, Naeem, et al.
Published: (2025)

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

From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation
by: Cai, Rongyao, et al.
Published: (2025)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
by: Huang, Yu-Hao, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
by: Hady, Mohamad A., et al.
Published: (2025)

Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
by: Medeiros, Heitor R., et al.
Published: (2025)

Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting
by: Gupta, Divij, et al.
Published: (2024)

TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
by: Kim, Jaeho, et al.
Published: (2025)

BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
by: Li, Zhixuan, et al.
Published: (2025)

OT Score: An OT based Confidence Score for Prototype-Assisted Source Free Unsupervised Domain Adaptation
by: Zhang, Yiming, et al.
Published: (2025)

Fredformer: Frequency Debiased Transformer for Time Series Forecasting
by: Piao, Xihao, et al.
Published: (2024)

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
by: Yue, Wenzhen, et al.
Published: (2025)