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 ...

"Supervised learning has correct answers, while unsupervised learning does not." I've memorized that much, but when ...

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 ...