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Time Series

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Showing 451–500 of 9169 papers

TitleStatusHype
Interpretable Transformation and Analysis of Timelines through Learning via Surprisability—0
Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market—0
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series—0
Differential Machine Learning for Time Series Prediction—0
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMsCode1
Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis—0
SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series ForecastingCode1
Robust time series generation via Schrödinger Bridge: a comprehensive evaluation—0
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling—0
Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks—0
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator InterestCode0
Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting—0
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios—0
Patch-wise Structural Loss for Time Series ForecastingCode2
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop—0
A Compact Model for Large-Scale Time Series Forecasting—0
Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series—0
Using quantile time series and historical simulation to forecast financial risk multiple steps ahead—0
Detection of anomalies in cow activity using wavelet transform based features—0
Forecasting Monthly Residential Natural Gas Demand Using Just-In-Time-Learning Modeling—0
Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and InsightsCode0
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting—0
Data-Driven Model Identification of Unbalanced Induction Motor Dynamics and Forces using SINDYc—0
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation—0
Scalable Signature Kernel Computations for Long Time Series via Local Neumann Series ExpansionsCode1
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep LearningCode1
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement—0
Evaluation of Missing Data Imputation for Time Series Without Ground Truth—0
Optimal Stochastic Trace Estimation in Generative Modeling—0
Empirical likelihood approach for high-dimensional moment restrictions with dependent dataCode0
Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood—0
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life PredictionCode3
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series ForecastingCode2
A Radon-Nikodým Perspective on Anomaly Detection: Theory and Implications—0
Can Multimodal LLMs Perform Time Series Anomaly Detection?Code1
TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting—0
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models—0
Decoding Financial Health in Kenyas' Medical Insurance Sector: A Data-Driven Cluster Analysis—0
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis—0
Class-Dependent Perturbation Effects in Evaluating Time Series AttributionsCode0
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators—0
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series ForecastingCode1
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration—0
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification—0
Predicting Bad Goods Risk Scores with ARIMA Time Series: A Novel Risk Assessment Approach—0
Time Series Domain Adaptation via Latent Invariant Causal MechanismCode0
Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis—0
Deep Time Warping for Multiple Time Series Alignment—0
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic DataCode1
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning—0
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