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Showing 2376–2400 of 9169 papers

TitleStatusHype
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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