2 papers
cs.AI2025
R-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data
Elias Hossain, Tasfia Nuzhat, Shamsul Masum +2
Accurate classification of cancer-related biomedical abstracts is critical for advancing cancer informatics and supporting decision-making in healthcare research. Yet progress in t…
cs.LG2025
Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction
Mohamed Hassan Abdalla Idris, Jakub Marek Cebula, Jebraeel Gholinezhad +2
This research introduces a new ML framework designed to enhance the robustness of out-of-sample hydrocarbon production forecasting, specifically addressing multivariate time series…