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Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task
Large Language Models (LLMs) are increasingly bringing advances to Natural Language Processing.
Hierarchical Learning Using Deep Optimum-Path Forest
Bag-of-Visual Words (BoVW) and deep learning techniques have been widely used in several domains, which include computer-assisted medical diagnoses.
Information Ranking Using Optimum-Path Forest
The task of learning to rank has been widely studied by the machine learning community, mainly due to its use and great importance in information retrieval, data mining, and natural language processing.
Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis
In this work, we introduce the unsupervised Optimum-Path Forest (OPF) classifier for learning visual dictionaries in the context of Barrett's esophagus (BE) and automatic adenocarcinoma diagnosis.
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