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Showing 3051–3100 of 9169 papers

TitleStatusHype
Graphs in State-Space Models for Granger Causality in Climate Science—0
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series—0
Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services—0
Meta-Transformer: A Unified Framework for Multimodal LearningCode3
Sig-Splines: universal approximation and convex calibration of time series generative models—0
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual ExplanationsCode1
Europepolls: A Dataset of Country-Level Opinion Polling Data for the European Union and the UK—0
Forecasting Early with Meta LearningCode0
Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models—0
Reclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges—0
Multimodal LLMs for health grounded in individual-specific data—0
Forecasting steam mass flow in power plants using the parallel hybrid network—0
The Beginning of the Trend: Interest Rates, Profits, and Markups—0
U-shaped Transformer: Retain High Frequency Context in Time Series Analysis—0
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly DetectionCode1
Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation—0
GBT: Two-stage transformer framework for non-stationary time series forecastingCode1
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case StudyCode0
Harnessing Scalable Transactional Stream Processing for Managing Large Language Models [Vision]—0
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation—0
Custom DNN using Reward Modulated Inverted STDP Learning for Temporal Pattern Recognition—0
Visual Explanations with Attributions and Counterfactuals on Time Series Classification—0
Source-Free Domain Adaptation with Temporal Imputation for Time Series DataCode1
Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network—0
Benchmarks and Custom Package for Energy ForecastingCode1
Benchmarking Explanatory Models for Inertia Forecasting using Public Data of the Nordic Area—0
Multi-view self-supervised learning for multivariate variable-channel time seriesCode0
Sequential Monte Carlo Learning for Time Series Structure DiscoveryCode1
Multivariate Time Series characterization and forecasting of VoIP traffic in real mobile networks—0
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting—0
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems—0
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputationCode0
Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks—0
Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM ApproachCode0
Measuring Cause-Effect with the Variability of the Largest Eigenvalue—0
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions—0
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAICode0
Fast dynamic time warping and clustering in C++—0
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification—0
Badgers: generating data quality deficits with PythonCode1
Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process—0
Bayesian Forecasting of Stock Returns on the JSE using Simultaneous Graphical Dynamic Linear Models—0
Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies—0
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionCode2
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT SystemsCode1
Differences between the true reproduction number and the apparent reproduction number of an epidemic time series—0
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting—0
Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data—0
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series DataCode0
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language—0
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