Time series – Page 18 – GrooveSquid.com

July 13, 2025

Summary of Enhancing In-hospital Mortality Prediction Using Multi-representational Learning with Llm-generated Expert Summaries, by Harshavardhan Battula et al.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summariesby Harshavardhan Battula, Jiacheng Liu,…

July 13, 2025

Summary of Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework, by Amirabbas Afzali et al.

Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Frameworkby Amirabbas Afzali,…

July 13, 2025

Summary of Catnet: Effective Fdr Control in Lstm with Gaussian Mirrors and Shap Feature Importance, by Jiaan Han et al.

CatNet: Effective FDR Control in LSTM with Gaussian Mirrors and SHAP Feature Importanceby Jiaan Han,…

July 13, 2025

Summary of Towards Foundation Models For Critical Care Time Series, by Manuel Burger et al.

Towards Foundation Models for Critical Care Time Seriesby Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné…

July 13, 2025

Summary of Quantile Deep Learning Models For Multi-step Ahead Time Series Prediction, by Jimmy Cheung et al.

Quantile deep learning models for multi-step ahead time series predictionby Jimmy Cheung, Smruthi Rangarajan, Amelia…

July 13, 2025

Summary of Tackling Data Heterogeneity in Federated Time Series Forecasting, by Wei Yuan et al.

Tackling Data Heterogeneity in Federated Time Series Forecastingby Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc…

July 13, 2025

Summary of Tabletime: Reformulating Time Series Classification As Training-free Table Understanding with Large Language Models, by Jiahao Wang et al.

TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Modelsby Jiahao Wang,…

July 13, 2025

Summary of Enhancing In-hospital Mortality Prediction Using Multi-representational Learning with Llm-generated Expert Summaries, by Harshavardhan Battula et al.

Summary of Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework, by Amirabbas Afzali et al.

Summary of Catnet: Effective Fdr Control in Lstm with Gaussian Mirrors and Shap Feature Importance, by Jiaan Han et al.

Summary of Towards Foundation Models For Critical Care Time Series, by Manuel Burger et al.

Summary of Quantile Deep Learning Models For Multi-step Ahead Time Series Prediction, by Jimmy Cheung et al.

Summary of Tackling Data Heterogeneity in Federated Time Series Forecasting, by Wei Yuan et al.

Summary of Tabletime: Reformulating Time Series Classification As Training-free Table Understanding with Large Language Models, by Jiahao Wang et al.

Summary of Beyond Data Scarcity: a Frequency-driven Framework For Zero-shot Forecasting, by Liran Nochumsohn et al.

Summary of A Unified Energy Management Framework For Multi-timescale Forecasting in Smart Grids, by Dafang Zhao et al.

Summary of Quantized Symbolic Time Series Approximation, by Erin Carson et al.