ILI
Canonical8papers using it
2020first seen
The 'ILI' dataset contains time series data related to influenza-like illness prevalence and is used to evaluate forecasting methods for time series data.
Papers using ILI (8)
- FRWKV+: Periodic-Aware Adaptive Gating for Frequency-Space Linear Time Series ForecastingPreserving Temporal Dynamics in Time Series GenerationNaga: Vedic Encoding for Deep State Space ModelsAdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series ForecastingForecasting Influenza Hospitalizations Using a Bayesian Hierarchical Nonlinear Model with DiscrepancyDeep Transformer Models for Time Series Forecasting: The Influenza
Prevalence CaseSteering a Historical Disease Forecasting Model Under a Pandemic: Case
of Flu and COVID-19Forecasting infectious disease prevalence with associated uncertainty
using neural networks