7 citations · 11 across the 5 of their papers we have counts for
6 papers
Can We Trust Large Language Models Generated Code? A Framework for In-Context Learning, Security Patterns, and Code Evaluations Across Diverse LLMs
Ahmad Mohsin, Helge Janicke, Adrian Wood +3
Large Language Models (LLMs) such as ChatGPT and GitHub Copilot have revolutionized automated code generation in software engineering. However, as these models are increasingly uti…
Pre-text Representation Transfer for Deep Learning with Limited Imbalanced Data : Application to CT-based COVID-19 Detection
Fouzia Altaf, Syed M. S. Islam, Naeem K. Janjua +1
Annotating medical images for disease detection is often tedious and expensive. Moreover, the available training samples for a given task are generally scarce and imbalanced. These…
A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead
Ali Hur, Naeem Janjua, Mohiuddin Ahmed
Global datasphere is increasing fast, and it is expected to reach 175 Zettabytes by 20251 . However, most of the content is unstructured and is not understandable by machines. Stru…
Boosting Deep Transfer Learning for COVID-19 Classification
Fouzia Altaf, Syed M. S. Islam, Naeem K. Janjua +1
COVID-19 classification using chest Computed Tomography (CT) has been found pragmatically useful by several studies. Due to the lack of annotated samples, these studies recommend t…
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
Fouzia Altaf, Syed M. S. Islam, Naveed Akhtar +1
Medical Image Analysis is currently experiencing a paradigm shift due to Deep Learning. This technology has recently attracted so much interest of the Medical Imaging community tha…
A Taxonomy of Modeling Approaches for Systems-of-Systems Dynamic Architectures: Overview and Prospects
Ahmad Mohsin, Naeem Khalid Janjua, Syed MS Islam +1
Systems-of-Systems (SoS) result from the collaboration of independent Constituent Systems (CSs) to achieve particular missions. CSs are not totally known at design time, and may al…