The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
IEEE

Time-Series Forecasting of Energy Consumption Using LSTM Networks for Optimized Microgrid Management

Abstract: Accurate energy consumption forecasting is crucial for the efficient management of microgrids, especially as renewable energy sources become increasingly integrated into power systems. In ...
GitHub

Manishms18/Time-Series-Interpretation-Lime-Shap

. ├── timeseries_interpretation_lime_shap.ipynb # Main annotated notebook ├── Data/ │ └── AirPassengers.csv # Source dataset ├── Figures/ │ ├── Figure_1.png # Forecast comparison │ ├── Figure_2.png # ...
IEEE

Forecasting Stock Market Volatility Using XGBoost: A Time Series Analysis

Abstract: Forecasting stock market volatility presents significant challenges and opportunities for both practitioners and researchers in the financial sector. This paper explores the application of ...