3 citations · 6 across the 5 of their papers we have counts for
6 papers
SelfHeal: Empirical Fix Pattern Analysis and Bug Repair in LLM Agents
Niful Islam, Muhammad Anas Raza, Mohammad Wardat
Large Language Models (LLMs) have transformed software development and AI applications. While LLMs are designed for text processing, LLM agents extend this capability by enabling a…
Remote Sensing Image Classification Using Deep Ensemble Learning
Niful Islam, Md. Rayhan Ahmed, Nur Mohammad Fahad +4
Remote sensing imagery plays a crucial role in many applications and requires accurate computerized classification techniques. Reliable classification is essential for transforming…
When Agents Fail: A Comprehensive Study of Bugs in LLM Agents with Automated Labeling
Niful Islam, Ragib Shahriar Ayon, Deepak George Thomas +2
Large Language Models (LLMs) have revolutionized intelligent application development. While standalone LLMs cannot perform any actions, LLM agents address the limitation by integra…
Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation
Niful Islam, Mohaiminul Islam Bhuiyan, Jarin Tasnim Raya +4
Brain tumors are one of the most common diseases that lead to early death if not diagnosed at an early stage. Traditional diagnostic approaches are extremely time-consuming and pro…
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency
Niful Islam, Khan Md Hasib, Fahmida Akter Joti +2
Skin cancer is a major concern to public health, accounting for one-third of the reported cancers. If not detected early, the cancer has the potential for severe consequences. Reco…
DTization: A New Method for Supervised Feature Scaling
Niful Islam
Artificial intelligence is currently a dominant force in shaping various aspects of the world. Machine learning is a sub-field in artificial intelligence. Feature scaling is one of…