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Showing 5101–5150 of 9169 papers

TitleStatusHype
Detection of Adversarial Physical Attacks in Time-Series Image Data—0
LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation—0
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data—0
Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health records—0
Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics—0
A New Look to Three-Factor Fama-French Regression Model using Sample Innovations—0
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding—0
Detection and Estimation of Structural Breaks in High-Dimensional Functional Time Series—0
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting—0
Low Rank Forecasting—0
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series—0
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation—0
LSEAttention is All You Need for Time Series Forecasting—0
Detecting Structural Breaks in Foreign Exchange Markets by using the group LASSO technique—0
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting—0
Low-pass filtering as Bayesian inference—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
Bayesian Realized-GARCH Models for Financial Tail Risk Forecasting Incorporating Two-sided Weibull Distribution—0
A new GARCH model with a deterministic time-varying intercept—0
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting—0
Low Latency Anomaly Detection and Bayesian Network Prediction of Anomaly Likelihood—0
Low-dimensional Models in Spatio-Temporal Wind Speed Forecasting—0
Detecting Slag Formations with Deep Convolutional Neural Networks—0
Low-count Time Series Anomaly Detection—0
Bayesian prediction of jumps in large panels of time series data—0
Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learning—0
Lost in Time: Temporal Analytics for Long-Term Video Surveillance—0
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection—0
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models—0
Machine Learning Advances for Time Series Forecasting—0
Machine Learning Algorithms for Financial Asset Price Forecasting—0
Machine Learning Algorithms for Time Series Analysis and Forecasting—0
Machine learning algorithms to predict stroke in China based on causal inference of time series analysis—0
Machine Learning a Molecular Hamiltonian for Predicting Electron Dynamics—0
Loss Shaping Constraints for Long-Term Time Series Forecasting—0
Machine learning applications in time series hierarchical forecasting—0
Machine Learning Applied to Peruvian Vegetables Imports—0
Machine Learning Approach and Extreme Value Theory to Correlated Stochastic Time Series with Application to Tree Ring Data—0
Detecting Rough Volatility: A Filtering Approach—0
Machine learning approach to detect dynamical states from recurrence measures—0
Bayesian Inference-assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR)—0
Machine learning based automated identification of thunderstorms from anemometric records using shapelet transform—0
Machine Learning-Based Cyberattack Detection and Identification for Automatic Generation Control Systems Considering Nonlinearities—0
Machine Learning-based Positioning using Multivariate Time Series Classification for Factory Environments—0
Bayesian Optimisation for a Biologically Inspired Population Neural Network—0
Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors—0
Loss meta-learning for forecasting—0
Machine Learning for a Music Glove Instrument—0
Machine Learning for Genomic Data—0
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning—0
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