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 ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Machine learning (ML) is a type of artificial intelligence (AI) focused on building computer systems that learn from data. The broad range of techniques ML encompasses enables software applications to ...

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

Amin's research applies AI and machine learning especially multimodal, text, unsupervised, and graph-based methods to turn ...