Summary of Fine-tuning Pre-trained Large Time Series Models For Prediction Of Wind Turbine Scada Data, by Yuwei Fan et al.
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Databy Yuwei Fan,…
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Databy Yuwei Fan,…
Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Databy…
Hybrid Spiking Neural Network – Transformer Video Classification Modelby Aaron BateniFirst submitted to arxiv on:…
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecastingby Lingzheng Zhang, Lifeng Shen, Yimin…
Deep Learning-Based Electricity Price Forecast for Virtual Bidding in Wholesale Electricity Marketby Xuesong Wang, Sharaf…
An Adversarial Learning Approach to Irregular Time-Series Forecastingby Heejeong Nam, Jihyun Kim, Jimin YeomFirst submitted…
Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detectionby Bo Qu, Zhurong Wang, Minghao Gu,…
LLM-ABBA: Understanding time series via symbolic approximationby Erin Carson, Xinye Chen, Cheng KangFirst submitted to…
Causal and Local Correlations Based Network for Multivariate Time Series Classificationby Mingsen Du, Yanxuan Wei,…
Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classificationby Mingsen Du, Meng Chen,…