68 citations · 76 across the 26 of their papers we have counts for
6 papers · 1 filter
R-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data
Elias Hossain, Tasfia Nuzhat, Shamsul Masum +2
Accurate classification of cancer-related biomedical abstracts is critical for advancing cancer informatics and supporting decision-making in healthcare research. Yet progress in t…
AI Learning Algorithms: Deep Learning, Hybrid Models, and Large-Scale Model Integration
Noorbakhsh Amiri Golilarz, Elias Hossain, Abdoljalil Addeh +1
In this paper, we discuss learning algorithms and their importance in different types of applications which includes training to identify important patterns and features in a strai…
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources
Subash Neupane, Elias Hossain, Jason Keith +6
This paper presents BARKPLUG V.2, a Large Language Model (LLM)-based chatbot system built using Retrieval Augmented Generation (RAG) pipelines to enhance the user experience and ac…
MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models
Subash Neupane, Shaswata Mitra, Sudip Mittal +3
Large Language Models (LLMs) have shown impressive capabilities in generating human-like responses. However, their lack of domain-specific knowledge limits their applicability in h…
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System
Majid Memari, Khaled R. Ahmed, Shahram Rahimi +1
This research addresses a critical challenge in the field of generative models, particularly in the generation and evaluation of synthetic images. Given the inherent complexity of…
Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications
Hassan S. Al Khatib, Subash Neupane, Harish Kumar Manchukonda +4
Patient-Centric Knowledge Graphs (PCKGs) represent an important shift in healthcare that focuses on individualized patient care by mapping the patient's health information in a hol…