80 citations
4 papers
Leveraging the Learning Curve: Reusing Existing Architectural Patterns to Design and Implement MAS
Arthur Casals, Anarosa A. F. Brandão
Recent advancements in AI have led to the development of specialized systems related to multi-agent systems (MAS). However, the inherently collaborative nature of agents is often o…
Efficient LLMs with AMP: Attention Heads and MLP Pruning
Leandro Giusti Mugnaini, Bruno Lopes Yamamoto, Lucas Lauton de Alcantara +5
Deep learning drives a new wave in computing systems and triggers the automation of increasingly complex problems. In particular, Large Language Models (LLMs) have significantly ad…
Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection
Jimi Togni, Romis Attux
This study presents a comparative analysis of methods for detecting COVID-19 infection in radiographic images. The images, sourced from publicly available datasets, were categorize…
Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
Daniel G. P. Petrini, Carlos Shimizu, Rosimeire A. Roela +3
Some recent studies have described deep convolutional neural networks to diagnose breast cancer in mammograms with similar or even superior performance to that of human experts. On…