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Showing 8101–8150 of 9169 papers

TitleStatusHype
Data-Driven Time Series Reconstruction for Modern Power Systems Research—0
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents—0
Increasing Server Availability for Overall System Security: A Preventive Maintenance Approach Based on Failure Prediction—0
Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction—0
Data driven synthetic wavefront generation for boundary layer data—0
Time-changed normalizing flows for accurate SDE modeling—0
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach—0
Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series—0
In-context Time Series Predictor—0
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis—0
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining—0
A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition—0
Analysis of complex circadian time series data using wavelets—0
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation—0
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model—0
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts—0
In-Context Fine-Tuning for Time-Series Foundation Models—0
Data-driven soiling detection in PV modules—0
Income, health, and spurious cointegration—0
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability—0
Data-driven Real-time Short-term Prediction of Air Quality: Comparison of ES, ARIMA, and LSTM—0
InceptionTime vs. Wavelet -- A comparison for time series classification—0
IMUOptimize: A Data-Driven Approach to Optimal IMU Placement for Human Pose Estimation with Transformer Architecture—0
Time-frequency co-movements between commodities and economic policy uncertainty across different crises—0
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data—0
IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems—0
IMTS-Mixer: Mixer-Networks for Irregular Multivariate Time Series Forecasting—0
Data-driven Neural Architecture Learning For Financial Time-series Forecasting—0
A transformer-based model for default prediction in mid-cap corporate markets—0
TimeGym: Debugging for Time Series Modeling in Python—0
TimeHF: Billion-Scale Time Series Models Guided by Human Feedback—0
Analysis of chaotic dynamical systems with autoencoders—0
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series—0
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data—0
A Comparative Study of Reservoir Computing for Temporal Signal Processing—0
A Bayesian approach for structure learning in oscillating regulatory networks—0
SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems—0
Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique—0
Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator—0
ImputeGAP: A Comprehensive Library for Time Series Imputation—0
Data-Driven Model Identification of Unbalanced Induction Motor Dynamics and Forces using SINDYc—0
A Transformer-based Framework For Multi-variate Time Series: A Remaining Useful Life Prediction Use Case—0
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic—0
Imputation of Counterfactual Outcomes when the Errors are Predictable—0
Data-driven mapping between functional connectomes using optimal transport—0
Analysis of Brain States from Multi-Region LFP Time-Series—0
Imputation of Clinical Covariates in Time Series—0
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System—0
Forecasting, Causality, and Impulse Response with Neural Vector Autoregressions—0
Impulse Response Analysis of Structural Nonlinear Time Series Models—0
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