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Showing 4951–5000 of 9169 papers

TitleStatusHype
Less is more: a new machine-learning methodology for spatiotemporal systems—0
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition—0
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures—0
Less is more: Selecting the right benchmarking set of data for time series classification—0
Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning—0
LETS-C: Leveraging Text Embedding for Time Series Classification—0
Analysis of Indian foreign exchange markets: A Multifractal Detrended Fluctuation Analysis (MFDFA) approach—0
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning—0
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data—0
LSEAttention is All You Need for Time Series Forecasting—0
Attention-Based Reading, Highlighting, and Forecasting of the Limit Order Book—0
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling—0
A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring—0
Leveraging Clinical Time-Series Data for Prediction: A Cautionary Tale—0
Leveraging Herpangina Data to Enhance Hospital-level Prediction of Hand-Foot-and-Mouth Disease Admissions Using UPTST—0
Leveraging Image-based Generative Adversarial Networks for Time Series Generation—0
LSTM-based Flow Prediction—0
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting—0
Leveraging Network Dynamics for Improved Link Prediction—0
Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting—0
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection—0
Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models—0
Machine learning algorithms to predict stroke in China based on causal inference of time series analysis—0
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments—0
Inferring linear and nonlinear Interaction networks using neighborhood support vector machines—0
Leveraging Priors via Diffusion Bridge for Time Series Generation—0
Leveraging Sample Entropy for Enhanced Volatility Measurement and Prediction in International Oil Price Returns—0
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models—0
Inferring Individual Level Causal Models from Graph-based Relational Time Series—0
Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection—0
Time-Series Foundation Models for Forecasting Soil Moisture Levels in Smart Agriculture—0
Leveraging Vision-Language Models for Granular Market Change Prediction—0
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity—0
Bayesian Alignments of Warped Multi-Output Gaussian Processes—0
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework—0
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment—0
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values—0
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation—0
Causal Graph Discovery from Self and Mutually Exciting Time Series—0
Inferring Global Dynamics Using a Learning Machine—0
Date-Driven Approach for Identifying State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis—0
Attention-based Neural Network for Driving Environment Complexity Perception—0
Inferring extended summary causal graphs from observational time series—0
Light-weight Gesture Sensing Using FMCW Radar Time Series Data—0
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization—0
Lightweight Online Adaption for Time Series Foundation Model Forecasts—0
Inferring dynamic regulatory interaction graphs from time series data with perturbations—0
Likely, Light, and Accurate Context-Free Clusters-based Trajectory 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
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