MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Networkby Pengzhou Cheng, Zongru…
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Databy Yucheng Wang,…
Transformer for Times Series: an Application to the S&P500by Pierre Brugiere, Gabriel TuriniciFirst submitted to…
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Promptingby Haoxin Liu, Zhiyuan…
Quantitative Technology Forecasting: a Review of Trend Extrapolation Methodsby Peng-Hung Tsai, Daniel Berleant, Richard S.…
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learningby En Fu, Yanyan HuFirst…
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecastingby Huanyu Zhang, Chang Xu, Yi-Fan Zhang,…
Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategyby Sarwan Ali,…
AverageLinear: Enhance Long-Term Time series forecasting with simple averagingby Gaoxiang Zhao, Li Zhou, Xiaoqiang WangFirst…
Dive into Time-Series Anomaly Detection: A Decade Reviewby Paul Boniol, Qinghua Liu, Mingyi Huang, Themis…