{"total":22,"rows":[{"id":"2302.03133","title":"Domain Adaptation for Time Series Under Feature and Label Shifts","created":"2023-02-06","cited_by_count":60,"area":null},{"id":"2305.10716","title":"A Survey on Time-Series Pre-Trained Models","created":"2023-05-18","cited_by_count":52,"area":null},{"id":"2206.06243","title":"Contrastive Learning for Unsupervised Domain Adaptation of Time Series","created":"2022-06-13","cited_by_count":36,"area":null},{"id":"2212.01555","title":"Contrastive Domain Adaptation for Time-Series via Temporal Mixup","created":"2022-12-03","cited_by_count":18,"area":null},{"id":"2307.07542","title":"Source-Free Domain Adaptation with Temporal Imputation for Time Series Data","created":"2023-07-14","cited_by_count":15,"area":null},{"id":"2504.04283","title":"CATS: Mitigating Correlation Shift for Multivariate Time Series Classification","created":"2025-04-05","cited_by_count":7,"area":null},{"id":"2409.19635","title":"Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation","created":"2024-09-29","cited_by_count":4,"area":null},{"id":"2410.02147","title":"Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement","created":"2024-10-03","cited_by_count":4,"area":null},{"id":"2505.00415","title":"CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series","created":"2025-05-01","cited_by_count":3,"area":null},{"id":"2207.04367","title":"Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition","created":"2022-07-10","cited_by_count":2,"area":null},{"id":"2505.21525","title":"Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2311.10806","title":"SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation","created":"2023-11-17","cited_by_count":1,"area":null},{"id":"2501.01472","title":"Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation","created":"2025-01-01","cited_by_count":1,"area":null},{"id":"2502.16637","title":"Time Series Domain Adaptation via Latent Invariant Causal Mechanism","created":"2025-02-23","cited_by_count":1,"area":null},{"id":"2307.00066","title":"Improving the Transferability of Time Series Forecasting with Decomposition Adaptation","created":"2023-06-30","cited_by_count":0,"area":null},{"id":"2504.14994","title":"Learning Compositional Transferability of Time Series for Source-Free Domain Adaptation","created":"2025-04-21","cited_by_count":0,"area":null},{"id":"2505.04907","title":"VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition","created":"2025-05-08","cited_by_count":0,"area":null},{"id":"2508.08019","title":"Advancing Knowledge Tracing by Exploring Follow-up Performance Trends","created":"2025-08-11","cited_by_count":0,"area":null},{"id":"2508.18630","title":"Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2512.14710","title":"Autonomous Source Knowledge Selection in Multi-Domain Adaptation","created":"2025-12-08","cited_by_count":0,"area":null},{"id":"2602.08730","title":"Closing the Confusion Loop: CLIP-Guided Alignment for Source-Free Domain Adaptation","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2608.02238","title":"Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability","created":"2026-08-03","cited_by_count":0,"area":null}],"next_cursor":null}