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Showing 3201–3250 of 9169 papers

TitleStatusHype
Can Transformers Predict Vibrations?—0
On Designing Features for Condition Monitoring of Rotating Machines—0
Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Waveguides—0
Conformalized Adaptive Forecasting of Heterogeneous TrajectoriesCode0
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer—0
Evaluating DTW Measures via a Synthesis Framework for Time-Series Data—0
Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints—0
Embracing the black box: Heading towards foundation models for causal discovery from time series dataCode0
IMUOptimize: A Data-Driven Approach to Optimal IMU Placement for Human Pose Estimation with Transformer Architecture—0
Loss Shaping Constraints for Long-Term Time Series Forecasting—0
Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation LearningCode0
A Dynamical View of the Question of WhyCode0
Patch-based adaptive temporal filter and residual evaluation—0
Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting—0
ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical SystemCode0
On Bayesian Filtering for Markov Regime Switching Models—0
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction—0
Time series segmentation for recognition of epileptiform patterns recorded via Microelectrode Arrays in vitro—0
Measurement Scheduling for ICU Patients with Offline Reinforcement Learning—0
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems—0
GeoFormer: A Vision and Sequence Transformer-based Approach for Greenhouse Gas Monitoring—0
REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language ModelsCode0
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-SeriesCode0
Probabilistic Forecasting of Irregular Time Series via Conditional FlowsCode0
Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction—0
TimEHR: Image-based Time Series Generation for Electronic Health RecordsCode0
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health RecordsCode0
Safe Active Learning for Time-Series Modeling with Gaussian Processes—0
Generative Nowcasting of Marine Fog Visibility in the Grand Banks area and Sable Island in Canada—0
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction—0
Reduced-order modeling of unsteady fluid flow using neural network ensembles—0
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting—0
Selective linear segmentation for detecting relevant parameter changes—0
Attention as Robust Representation for Time Series Forecasting—0
Text2Data: Low-Resource Data Generation with Textual Control—0
Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons—0
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data—0
Downside Risk Reduction Using Regime-Switching Signals: A Statistical Jump Model Approach—0
Learning under Temporal Label Noise—0
Fast Online Changepoint Detection—0
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs—0
Quantized Approximately Orthogonal Recurrent Neural Networks—0
Empowering Time Series Analysis with Large Language Models: A Survey—0
Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI—0
Phase-driven Domain Generalizable Learning for Nonstationary Time Series—0
Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers—0
Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data—0
FreDF: Learning to Forecast in the Frequency Domain—0
Efficient Market Dynamics: Unraveling Informational Efficiency in UK Horse Racing Betting Markets Through Betfair's Time Series Analysis—0
GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic ProcessesCode0
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