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Time Series

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Showing 2001–2050 of 9169 papers

TitleStatusHype
Cross-Domain Pre-training with Language Models for Transferable Time Series RepresentationsCode2
Advancing Time Series Classification with Multimodal Language ModelingCode2
Automated Contrastive Learning Strategy Search for Time Series—0
Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models—0
Light Curve Classification with DistClassiPy: a new distance-based classifierCode1
Approximation of RKHS Functionals by Neural Networks—0
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation—0
Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation—0
Analyzing the Variations in Emergency Department Boarding and Testing the Transferability of Forecasting Models across COVID-19 Pandemic Waves in Hong Kong: Hybrid CNN-LSTM approach to quantifying building-level socioecological risk—0
Is Mamba Effective for Time Series Forecasting?Code3
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting—0
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction—0
Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series—0
Advancing multivariate time series similarity assessment: an integrated computational approach—0
Time Series Representation Learning with Supervised Contrastive Temporal TransformerCode0
Chain-structured neural architecture search for financial time series forecasting—0
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical ObservationsCode0
Rough Transformers for Continuous and Efficient Time-Series Modelling—0
Towards Diverse Perspective Learning with Selection over Multiple Temporal PoolingsCode0
TimeMachine: A Time Series is Worth 4 Mambas for Long-term ForecastingCode3
Self-Supervised Learning for Time Series: Contrastive or Generative?Code1
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer—0
Cloud gap-filling with deep learning for improved grassland monitoringCode1
FSDR: A Novel Deep Learning-based Feature Selection Algorithm for Pseudo Time-Series Data using Discrete Relaxation—0
Mean-Field Microcanonical Gradient DescentCode0
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework—0
Data-Efficient Sleep Staging with Synthetic Time Series PretrainingCode0
Caformer: Rethinking Time Series Analysis from Causal Perspective—0
Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting—0
Deep Generative Domain Adaptation with Temporal Attention for Cross-User Activity Recognition—0
Cross-user activity recognition via temporal relation optimal transport—0
Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition—0
Imputation of Counterfactual Outcomes when the Errors are Predictable—0
Supervised Time Series Classification for Anomaly Detection in Subsea Engineering—0
Exploring Challenges in Deep Learning of Single-Station Ground Motion RecordsCode0
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-TuningCode2
Chronos: Learning the Language of Time SeriesCode7
Spatiotemporal Representation Learning for Short and Long Medical Image Time SeriesCode0
Dataset Condensation for Time Series Classification via Dual Domain MatchingCode1
Data-Driven Tuning Parameter Selection for High-Dimensional Vector Autoregressions—0
Koopman Ensembles for Probabilistic Time Series ForecastingCode0
Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies—0
Time Series Analysis of Key Societal Events as Reflected in Complex Social Media Data Streams—0
FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder—0
Probabilistic Forecasting of Real-Time Electricity Market Signals via Interpretable Generative AI—0
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest—0
S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series ForecastingCode2
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning ProcessCode2
tsGT: Stochastic Time Series Modeling With Transformer—0
What is different between these datasets?—0
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