Our paper introduces a groundbreaking Turning Point (TP) methodology designed to enhance the interpretability of machine learning diagnostics.

Dec 25, 2023 · We propose Turning Point (TP), a few-shot learning (FSL) approach that leverages high-level turning point mappings to build sophisticated representations ...

Being new to the platform, almost all have to learn how to use the technology that enables them to make their teaching and learning productive. The research ...

Apr 14, 2023 · To address this issue, we propose Turning Point (TP), a few-shot learning. (FSL) approach that leverages high-level turning point mappings to ...

Apr 14, 2023 · To address this issue, we propose Turning Point (TP), a few-shot learning. (FSL) approach that leverages high-level turning point mappings to ...

Dec 13, 2023 · We evaluated TPFSL using three COVID-19 datasets and compared it with seven different benchmarks. Results show that TPFSL outperformed the top- ...

Dec 13, 2022 · In this work, we developed a fully automatic approach to detect COVID-19 in CXR images. It is based on few-shot learning and so enables for ...

A Siamese neural network framework for COVID-19 diagnosis from CXR images. Benefit of using contrastive loss and n-shot learning in design of the framework.

Jul 2, 2024 · Findings from Prince Sattam Bin Abdulaziz University Update Knowledge of COVID-19 (A Turning Point Few-shot Learning for Covid-19 Diagnosis).

This study in- troduces a completely automated system to detect COVID-19 by means of the analysis of Chest X-Ray scans (CXR). The proposed methodol- ogy is ...