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Showing 801–825 of 9169 papers

TitleStatusHype
Federated Foundation Models on Heterogeneous Time SeriesCode1
LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage—0
Quantitative Evaluation of Motif Sets in Time SeriesCode0
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting—0
Auto-Regressive Moving Diffusion Models for Time Series ForecastingCode2
Modeling Latent Non-Linear Dynamical System over Time SeriesCode0
Proactive Model Adaptation Against Concept Drift for Online Time Series ForecastingCode2
Adversarial Vulnerabilities in Large Language Models for Time Series ForecastingCode1
Spectral Differential Network Analysis for High-Dimensional Time Series—0
PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time SeriesCode0
Systematic comparison of deep generative models applied to multivariate financial time series—0
LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series ForecastingCode0
Variable Selection for Comparing High-dimensional Time-Series Data—0
PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power SystemsCode1
Spiking Neural Networks for Radio Frequency Interference Detection in Radio Astronomy—0
Mining Limited Data Sufficiently: A BERT-inspired Approach for CSI Time Series Application in Wireless Communication and Sensing—0
Measuring Pre-training Data Quality without Labels for Time Series Foundation Models—0
Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs—0
Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond—0
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split AttentionCode0
STEAM-EEG: Spatiotemporal EEG Analysis with Markov Transfer Fields and Attentive CNNs—0
Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection—0
A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System—0
KEDformer:Knowledge Extraction Seasonal Trend Decomposition for Long-term Sequence Prediction—0
Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning—0
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