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Showing 851–900 of 9169 papers

TitleStatusHype
Unsupervised Learning Approach to Anomaly Detection in Gravitational Wave Data—0
An Adversarial Learning Approach to Irregular Time-Series Forecasting—0
The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data—0
Ridge Regression for Manifold-valued Time-Series with Application to Meteorological Forecast—0
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable DataCode1
LLM-ABBA: Understanding time series via symbolic approximation—0
Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classification—0
Causal and Local Correlations Based Network for Multivariate Time Series ClassificationCode1
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering—0
MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual UnmixingCode0
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series—0
Disentangled Interpretable Representation for Efficient Long-term Time Series ForecastingCode1
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting—0
Time-Series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation of the State-of-the-art Algorithms—0
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data—0
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network—0
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries—0
Learning Predictive Checklists with Probabilistic Logic Programming—0
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework—0
MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time SeriesCode1
Towards Foundation Models for Critical Care Time Series—0
CatNet: Controlling the False Discovery Rate in LSTM with SHAP Feature Importance and Gaussian Mirrors—0
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting—0
Research on Optimal Portfolio Based on Multifractal Features—0
Tackling Data Heterogeneity in Federated Time Series Forecasting—0
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting—0
Quantile deep learning models for multi-step ahead time series predictionCode0
TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language ModelsCode1
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids—0
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series ClassificationCode0
Complexity synchronization analysis of neurophysiological data: Theory and methods—0
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time SeriesCode0
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption—0
Quantized symbolic time series approximationCode2
Conformal Prediction for Hierarchical Data—0
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers—0
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs—0
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time SeriesCode0
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
Machine Learning Approaches on Crop Pattern Recognition a Comparative Analysis—0
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data—0
Neural and Time-Series Approaches for Pricing Weather Derivatives: Performance and Regime Adaptation Using Satellite Data—0
A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errors—0
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare PredictionCode0
ST-Tree with Interpretability for Multivariate Time Series Classification—0
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly DetectionCode1
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
How quantum computing can enhance biomarker discovery—0
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