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:…
Deep Learning-Based Electricity Price Forecast for Virtual Bidding in Wholesale Electricity Marketby Xuesong Wang, Sharaf…
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecastingby Lingzheng Zhang, Lifeng Shen, Yimin…
Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detectionby Bo Qu, Zhurong Wang, Minghao Gu,…
An Adversarial Learning Approach to Irregular Time-Series Forecastingby Heejeong Nam, Jihyun Kim, Jimin YeomFirst submitted…
LLM-ABBA: Understanding time series via symbolic approximationby Erin Carson, Xinye Chen, Cheng KangFirst submitted to…
Enhancing Project Performance Forecasting using Machine Learning Techniquesby Soheila SadeghiFirst submitted to arxiv on: 26…
Causal and Local Correlations Based Network for Multivariate Time Series Classificationby Mingsen Du, Yanxuan Wei,…