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Showing 3401–3450 of 9169 papers

TitleStatusHype
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting—0
Adaptive Kernel Estimation of the Spectral Density with Boundary Kernel Analysis—0
Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data—0
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting—0
Interpretation of Time-Series Deep Models: A Survey—0
Clustering of Urban Traffic Patterns by K-Means and Dynamic Time Warping: Case Study—0
Clustering of Time-Varying Graphs Based on Temporal Label Smoothness—0
Clustering of Time Series Data with Prior Geographical Information—0
Clustering of timed sequences -- Application to the analysis of care pathways—0
Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples—0
A Primer on Temporal Graph Learning—0
Clustering Method for Time-Series Images Using Quantum-Inspired Computing Technology—0
Features or Shape? Tackling the False Dichotomy of Time Series Classification—0
A Primal-Dual Framework for Transformers and Neural Networks—0
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series—0
Adaptive Inducing Points Selection For Gaussian Processes—0
Clustering Macroeconomic Time Series—0
Clustering Interval-Censored Time-Series for Disease Phenotyping—0
A Prefixed Patch Time Series Transformer for Two-Point Boundary Value Problems in Three-Body Problems—0
Clustering individuals based on multivariate EMA time-series data—0
Clustering high dimensional meteorological scenarios: results and performance index—0
A Predictive Online Transient Stability Assessment with Hierarchical Generative Adversarial Networks—0
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs—0
Feature Optimization for Time Series Forecasting via Novel Randomized Uphill Climbing—0
Feature Importance for Time Series Data: Improving KernelSHAP—0
Clustering Gene Expression Time Series with Coregionalization: Speed propagation of ALS—0
Clustering Financial Time Series: How Long is Enough?—0
A Predictive Autoscaler for Elastic Batch Jobs—0
Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions—0
Feature Construction and Selection for PV Solar Power Modeling—0
Feature-based time-series analysis—0
Feature Selection with Annealing for Forecasting Financial Time Series—0
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration—0
A precise machine learning aided algorithm for land subsidence or upheave prediction from GNSS time series—0
Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks—0
Features Fusion Framework for Multimodal Irregular Time-series Events—0
A kernel for time series based on global alignments—0
Features of the Earth's seasonal hydroclimate: Characterizations and comparisons across the Koppen-Geiger climates and across continents—0
Enhanced LFTSformer: A Novel Long-Term Financial Time Series Prediction Model Using Advanced Feature Engineering and the DS Encoder Informer Architecture—0
ACCTS: an Adaptive Model Training Policy for Continuous Classification of Time Series—0
Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves—0
Feature-Based Echo-State Networks: A Step Towards Interpretability and Minimalism in Reservoir Computer—0
Bayesian forecast combination using time-varying features—0
Clustering Discrete-Valued Time Series—0
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection—0
Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data—0
Clustering Activity-Travel Behavior Time Series using Topological Data Analysis—0
Approximation Theory of Convolutional Architectures for Time Series Modelling—0
Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models—0
ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures—0
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