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Showing 2151–2200 of 9169 papers

TitleStatusHype
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries—0
Quantile deep learning models for multi-step ahead time series predictionCode0
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting—0
Tackling Data Heterogeneity in Federated Time Series Forecasting—0
Research on Optimal Portfolio Based on Multifractal Features—0
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting—0
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series ClassificationCode0
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids—0
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time SeriesCode0
Complexity synchronization analysis of neurophysiological data: Theory and methods—0
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption—0
Conformal Prediction for Hierarchical Data—0
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers—0
Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node ClassificationCode0
A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant informationCode0
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data—0
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time SeriesCode0
Machine Learning Approaches on Crop Pattern Recognition a Comparative Analysis—0
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs—0
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare PredictionCode0
A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errors—0
ST-Tree with Interpretability for Multivariate Time Series Classification—0
Neural and Time-Series Approaches for Pricing Weather Derivatives: Performance and Regime Adaptation Using Satellite Data—0
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting—0
FlowScope: Enhancing Decision Making by Time Series Forecasting based on Prediction Optimization using HybridFlow Forecast Framework—0
Semiparametric inference for impulse response functions using double/debiased machine learning—0
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset—0
Causal Time-Series Synchronization for Multi-Dimensional Forecasting—0
PFML: Self-Supervised Learning of Time-Series Data Without Representation CollapseCode0
Multiscale Dubuc: A New Similarity Measure for Time SeriesCode0
How quantum computing can enhance biomarker discovery—0
Sparse Interval-valued Time Series Modeling with Machine Learning—0
Approximate Probabilistic Inference for Time-Series Data A Robust Latent Gaussian Model With Temporal Awareness—0
AstroM^3: A self-supervised multimodal model for astronomy—0
CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision—0
Transformer-based Time-Series Biomarker Discovery for COPD Diagnosis—0
Accelerating Quasi-Static Time Series Simulations with Foundation Models—0
How to quantify interaction strengths? A critical rethinking of the interaction Jacobian and evaluation methods for non-parametric inference in time series analysis—0
New approaches of the DCC-GARCH residual: Application to foreign exchange rates—0
Multimodal Clinical Reasoning through Knowledge-augmented Rationale Generation—0
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting—0
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosisCode0
Reconstruction of neuromorphic dynamics from a single scalar time series using variational autoencoder and neural network map—0
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization—0
BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges—0
When are dynamical systems learned from time series data statistically accurate?Code0
Detecting Cointegrating Relations in Non-stationary Matrix-Valued Time SeriesCode0
From CNN to CNN + RNN: Adapting Visualization Techniques for Time-Series Anomaly Detection—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Series-to-Series Diffusion Bridge Model—0
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