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Showing 2351–2400 of 9169 papers

TitleStatusHype
Transition of α-mixing in Random Iterations with Applications in Queuing Theory—0
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting—0
Large datasets for the Euro Area and its member countries and the dynamic effects of the common monetary policy—0
GRU-D Characterizes Age-Specific Temporal Missingness in MIMIC-IV—0
MC-QDSNN: Quantized Deep evolutionary SNN with Multi-Dendritic Compartment Neurons for Stress Detection using Physiological Signals—0
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems—0
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data—0
Applying Quantum Autoencoders for Time Series Anomaly Detection—0
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution—0
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model—0
Forest Proximities for Time Series—0
Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs—0
GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep LearningCode0
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series ImputationCode0
Metadata Matters for Time Series: Informative Forecasting with Transformers—0
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting—0
A new GARCH model with a deterministic time-varying intercept—0
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series ForecastingCode0
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement—0
Repurposing Foundation Model for Generalizable Medical Time Series Classification—0
Embedded Topic Models Enhanced by Wikification—0
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series ForecastingCode0
Learning K-U-Net with constant complexity: An Application to time series forecasting—0
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting—0
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices—0
Plots Unlock Time-Series Understanding in Multimodal Models—0
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis—0
FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting—0
Demand Forecasting in Supply Chain Management for Rossmann Stores Using Weather Enhanced Deep Learning Model—0
TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting—0
Model Comparisons: XNet Outperforms KAN—0
Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series—0
Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data—0
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction—0
Recovering Time-Varying Networks From Single-Cell Data—0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks—0
Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data—0
Asymmetrically connected reservoir networks learn better—0
TSI: A Multi-View Representation Learning Approach for Time Series ForecastingCode0
Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting—0
A SSM is Polymerized from Multivariate Time SeriesCode0
StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data—0
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series ClassificationCode0
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets—0
Detecting Structural breakpoints in natural gas and electricity wholesale prices via Bayesian ensemble approach, in the era of energy prices turmoil of 2022 period: the cases of ten European markets—0
Stream-level flow matching with Gaussian processesCode0
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators—0
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain AdaptationCode0
Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market dataCode0
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