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Showing 5001–5050 of 9169 papers

TitleStatusHype
Limit Theorems for Factor Models—0
Limit Theory under Network Dependence and Nonstationarity—0
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data—0
Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction—0
Linear Credit Risk Models—0
Denoising Time Series Data Using Asymmetric Generative Adversarial Networks—0
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation—0
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series—0
Linear Regression with Weak Exogeneity—0
Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective—0
Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series—0
Linear-time online visibility graph transformation algorithm: for both natural and horizontal visibility criteria—0
Machine Learning Link Inference of Noisy Delay-coupled Networks with Opto-Electronic Experimental Tests—0
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data—0
Causal Graph Discovery from Self and Mutually Exciting Time Series—0
Inferring Global Dynamics Using a Learning Machine—0
LINOCS: Lookahead Inference of Networked Operators for Continuous Stability—0
Dependent Matérn Processes for Multivariate Time Series—0
Depression Diagnosis and Drug Response Prediction via Recurrent Neural Networks and Transformers Utilizing EEG Signals—0
Liquid State Machine-Empowered Reflection Tracking in RIS-Aided THz Communications—0
Date-Driven Approach for Identifying State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis—0
Lithium-ion Battery Capacity Prediction via Conditional Recurrent Generative Adversarial Network-based Time-Series Regeneration—0
Attention-based Neural Network for Driving Environment Complexity Perception—0
Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection—0
Inferring extended summary causal graphs from observational time series—0
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization—0
Inferring dynamic regulatory interaction graphs from time series data with perturbations—0
LLM Assisted Anomaly Detection Service for Site Reliability Engineers: Enhancing Cloud Infrastructure Resilience—0
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices—0
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction—0
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies—0
Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison—0
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach—0
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics—0
LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage—0
Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data—0
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling—0
Deteção de estruturas permanentes a partir de dados de séries temporais Sentinel 1 e 2—0
Analysis of Hydrological and Suspended Sediment Events from Mad River Watershed using Multivariate Time Series Clustering—0
A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation—0
Local and Global Trend Bayesian Exponential Smoothing Models—0
DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data—0
Machine Learning Framework for Sensing and Modeling Interference in IoT Frequency Bands—0
Inferring, comparing and exploring ecological networks from time-series data through R packages constructnet, disgraph and dynet—0
Local Exceptionality Detection in Time Series Using Subgroup Discovery—0
Localized Sparse Principal Component Analysis of Multivariate Time Series in Frequency Domain—0
Localizing the Origin of Idiopathic Ventricular Arrhythmia from ECG Using an Attention-Based Recurrent Convolutional Neural Network—0
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data—0
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction—0
Machine-learning Growth at Risk—0
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