Copertina

Deep Time Warping for Multiple Time Series Alignment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nourbakhsh, Alireza, Mohammadzade, Hoda
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Signal Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings
di: Ravindra, Neal G., et al.
Pubblicazione: (2025)

Warped Time Series Anomaly Detection
di: Lacoquelle, Charlotte, et al.
Pubblicazione: (2024)

A Comprehensive Benchmark for Electrocardiogram Time-Series
di: Tang, Zhijiang, et al.
Pubblicazione: (2025)

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
di: Vaca-Rubio, Cristian J., et al.
Pubblicazione: (2024)

TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
di: Lu, Yihang, et al.
Pubblicazione: (2025)

UniMTS: Unified Pre-training for Motion Time Series
di: Zhang, Xiyuan, et al.
Pubblicazione: (2024)

Constrained Posterior Sampling: Time Series Generation with Hard Constraints
di: Narasimhan, Sai Shankar, et al.
Pubblicazione: (2024)

FilterNet: Harnessing Frequency Filters for Time Series Forecasting
di: Yi, Kun, et al.
Pubblicazione: (2024)

Interpretable Pre-Trained Transformers for Heart Time-Series Data
di: Davies, Harry J., et al.
Pubblicazione: (2024)

MedMamba: Recasting Mamba for Medical Time Series Classification
di: He, ZhengXiao, et al.
Pubblicazione: (2026)

FreqLens: Interpretable Frequency Attribution for Time Series Forecasting
di: Chen, Chi-Sheng, et al.
Pubblicazione: (2026)

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

A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
di: Vaca-Rubio, Cristian J., et al.
Pubblicazione: (2025)

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration
di: Zhang, Yuren, et al.
Pubblicazione: (2025)

Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
di: Ghaderi, Hamid, et al.
Pubblicazione: (2023)

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

A Multitask VAE for Time Series Preprocessing and Prediction of Blood Glucose Level
di: AbuSaleh, Ali, et al.
Pubblicazione: (2024)

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

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting
di: Zeng, Chen, et al.
Pubblicazione: (2025)

Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
di: Afzali, Amirabbas, et al.
Pubblicazione: (2024)

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

Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
di: Gkillas, Alexandros, et al.
Pubblicazione: (2024)

HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
di: Lee, Simon A., et al.
Pubblicazione: (2025)

Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
di: Maiwald, Aaron, et al.
Pubblicazione: (2023)

TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
di: Xie, Luyuan, et al.
Pubblicazione: (2024)

A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets
di: Elhalwagy, Ayman, et al.
Pubblicazione: (2023)

SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
di: Ryu, Hyun, et al.
Pubblicazione: (2023)

DB2-TransF: All You Need Is Learnable Daubechies Wavelets for Time Series Forecasting
di: Gupta, Moulik, et al.
Pubblicazione: (2025)

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering
di: Schneider, Dominic, et al.
Pubblicazione: (2024)

Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
di: Nakano, Hiroshi, et al.
Pubblicazione: (2025)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
di: Zhang, Kexin, et al.
Pubblicazione: (2023)

LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language Models
di: Anjum, Md Fahim
Pubblicazione: (2024)

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection
di: Koeshidayatullah, Ardiansyah, et al.
Pubblicazione: (2024)

Foundation Model for Cardiac Time Series via Masked Latent Attention
di: Vandenhirtz, Moritz, et al.
Pubblicazione: (2026)

Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction
di: Costantino, Giuseppe, et al.
Pubblicazione: (2024)

Tokenizing Single-Channel EEG with Time-Frequency Motif Learning
di: Pradeepkumar, Jathurshan, et al.
Pubblicazione: (2025)

Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
di: Castro-Correa, Jhon A., et al.
Pubblicazione: (2024)

Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
di: Guo, Pengxin, et al.
Pubblicazione: (2024)

AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis
di: Jain, Milan, et al.
Pubblicazione: (2025)

Consciousness-ECG Transformer for Conscious State Estimation System with Real-Time Monitoring
di: Kweon, Young-Seok, et al.
Pubblicazione: (2025)