Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Modelsby Roderick Seow, Yunfan Zhao,…
Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysisby Yibin Sun, Heitor Murilo Gomes,…
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Needby…
Interactive dense pixel visualizations for time series and model attribution explanationsby Udo Schlegel, Daniel A.…
Channel-wise Influence: Estimating Data Influence for Multivariate Time Seriesby Muyao Wang, Zeke Xie, Bo ChenFirst…
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructuresby Pooja Krishan,…
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Modelsby Nobuo Namura, Yuma IchikawaFirst submitted to arxiv…
Extraction of Typical Operating Scenarios of New Power System Based on Deep Time Series Aggregationby…
Language Model Empowered Spatio-Temporal Forecasting via Physics-Aware Reprogrammingby Hao Wang, Jindong Han, Wei Fan, Hao…
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New…