To determine correlation of inter reader variability in sum of diameters using RECIST 1.1 with end point assessment in lung cancer. A systematic evaluation of models predicting short-term mortality ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

Introduction A few years ago, I took over a demand forecasting model from a colleague who had left the company. The notebook ...

Machine learning projects can succeed or fail based on a single, seemingly simple factor: data quality. Data scientists and engineers have recognized -- often through hard-won lessons -- that this ...