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Showing 8901–8950 of 9169 papers

TitleStatusHype
User Engagement in Mobile Health Applications—0
User-friendly Foundation Model Adapters for Multivariate Time Series Classification—0
Time Series Forecasting of HIV/AIDS in the Philippines Using Deep Learning: Does COVID-19 Epidemic Matter?—0
Using a Local Surrogate Model to Interpret Temporal Shifts in Global Annual Data—0
Using Analytics on Student Created Data to Content Validate Pedagogical Tools—0
Using an Ancillary Neural Network to Capture Weekends and Holidays in an Adjoint Neural Network Architecture for Intelligent Building Management—0
Using ARIMA to Predict the Expansion of Subscriber Data Consumption—0
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series—0
A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting—0
Using Bayesian Dynamical Systems for Motion Template Libraries—0
Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models—0
Time Series Forecasting Models Copy the Past: How to Mitigate—0
Time-Series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation of the State-of-the-art Algorithms—0
Using Clinical Notes for ICU Management—0
Creating Disasters: Recession Forecasting with GAN-Generated Synthetic Time Series Data—0
Using Connectome Features to Constrain Echo State Networks—0
Using Deep Learning for price prediction by exploiting stationary limit order book features—0
Using Deep Learning to Correlate Reddit Posts with Economic Time Series During the COVID-19 Pandemic—0
Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin—0
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators—0
A novel weighted approach for time series forecasting based on visibility graph—0
History Playground: A Tool for Discovering Temporal Trends in Massive Textual Corpora—0
Creating cloud-free satellite imagery from image time series with deep learning—0
Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets—0
Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links—0
Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces—0
Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System—0
Time Series Featurization via Topological Data Analysis—0
Time series features for supporting hydrometeorological explorations and predictions in ungauged locations using large datasets—0
Using Neural Networks by Modelling Semi-Active Shock Absorber—0
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting—0
Using Pre-trained LLMs for Multivariate Time Series Forecasting—0
Using quantile time series and historical simulation to forecast financial risk multiple steps ahead—0
Using Quantum Mechanics to Cluster Time Series—0
Time Series Feature Redundancy Paradox: An Empirical Study Based on Mortgage Default Prediction—0
Using Synthetic Data to Improve the Long-range Forecasting of Time Series Data—0
Using Temporal and Topological Features for Intrusion Detection in Operational Networks—0
Using the quantization error from Self-Organized Map (SOM) output for detecting critical variability in large bodies of image time series in less than a minute—0
Using time series and natural language processing to identify viral moments in the 2016 U.S. Presidential Debate—0
Time Series Fault Classification for Wave Propagation Systems with Sparse Fault Data—0
Time-Series Estimation from Randomly Time-Warped Observations—0
HiPPO-KAN: Efficient KAN Model for Time Series Analysis—0
CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution—0
Asymmetric excitation of left- and right-tail extreme events probed using a Hawkes model: application to financial returns—0
α-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing—0
A Compact Model for Large-Scale Time Series Forecasting—0
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance—0
Time Series Domain Adaptation via Sparse Associative Structure Alignment—0
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting—0
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation—0
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