IEEE

Imputation Missing Stock Prices Using Generative Adversarial Networks and Attention Mechanism

Abstract: Missing value in time series data can disrupt the analysis of historical data, especially stock market data, which requires the sequence of data points. This research proposes a method for ...
Analytics Insight

Top Seaborn Plots Every Data Analyst Must Know in 2026

Overview: Seaborn plots assist analysts in uncovering patterns within complex datasets.Python visualization tools enhance the ...
The Lancet

A predictive atlas of disease onset from retinal fundus photographs: a modelling study using data from population-based cohorts

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...
IEEE

Scenarios to Handle Shifts Data Pattern Using Neural Network for Forecasting Indonesian GDP Based on Financial Growth at Risk

Abstract: Modeling time series data through statistical techniques is a common practice in economics, primarily aimed at forecasting economic indicators such as GDP to prepare for future trends. Over ...