Background: Free-text comments in patient-reported outcome measures (PROMs) data provide insights into health-related quality of life (HRQoL). However, these comments are typically analysed using ...

There are two major machine learning approaches: supervised and unsupervised. Supervised learning uses labelled data for tasks like classification, while unsupervised learning identifies patterns in ...

Abstract: Hyperspectral image (HSI) classification with limited training samples remains a challenging task due to the high cost and time consumption of collecting labeled samples. In recent years, ...

Abstract: Focusing on the semantic gap problem of “large intraclass differences and small interclass differences” caused by the complex background and scale variations of interest targets in remote ...

Direct training of Spiking Neural Networks (SNNs) on neuromorphic hardware has the potential to significantly reduce the energy consumption of artificial neural network training. SNNs trained with ...

Describe text classification and related terminology (e.g., supervised machine learning). Apply text classification to marketing data through a peer-graded project. Apply text classification to a ...