Fernando Buarque de Lima Neto

Towards a Corpus Methodology for LLMs in the Legal Domain Open

Aline Athaydes, Lícia Maria Henrique da Mota, Fernando Buarque de Lima Neto, Sara Silva, Babacar Mané , et al. · 2025

The creation of high-quality Question-Answer (QA) datasets is critical for developing reliable legal AI systems, yet a significant gap exists between intrinsic textual metrics and real-world model performance. This paper introduces an end-…

ABORDAGENS MODERNAS NO TRATAMENTO CIRÚRGICO DAS VALVOPATIAS CARDÍACAS Open

Vanessa Suellen Silva Lira, Daniele Nascimento da Paixão Chagas, André Felipe Moro Campos, Fernando Buarque de Lima Neto, Rayanne Souza Cavalcante , et al. · 2025

As valvopatias cardíacas constituem um desafio crescente na cardiologia, especialmente em função do envelhecimento populacional e do aumento da sobrevida de pacientes com doenças cardíacas crônicas[1,12]. O tratamento cirúrgico tem evoluíd…

Decision-Tree Models to Detect Tripping Likelihood in Young and Older Adults Open

Mateus Amorim Silva, Paulo Roberto Varjal de Melo, Carine Freitas e Silva, Iara dos Santos Leal, Rafael Caldas , et al. · 2025

Understanding the Structure and Resilience of the Brazilian Federal Road Network Through Network Science Open

Júlio Taveira, Fernando Buarque de Lima Neto, Ronaldo Menezes · 2024

Understanding how transportation networks work is important for improving connectivity, efficiency, and safety. In Brazil, where road transport is a significant portion of freight and passenger movement, network science can provide valuabl…

The role of the social network in the study of adherence to diabetic retinopathy screening programs Open

Andreia Penso Pereira, Ana Afonso, Raul Laureano, Fernando Buarque de Lima Neto · 2024

Diabetic retinopathy screenings are a vital strategy to avoid the severe consequences of this disease. However, their success depends on the adherence of the target population. The present work aims to review the adherence to diabetic reti…

The role of the social network in the study of adherence to diabetic retinopathy screening programs Open

Andreia Penso Pereira, Ana Afonso, Raul Laureano, Fernando Buarque de Lima Neto · 2024

Diabetic retinopathy screenings are a vital strategy to avoid the severe consequences of this disease. However, their success depends on the adherence of the target population. The present work aims to analyse the influence of the diabetic…

The use of social simulation modelling to understand adherence to diabetic retinopathy screening programs Open

Andreia Penso Pereira, João Macêdo, Ana Afonso, Raul Laureano, Fernando Buarque de Lima Neto · 2024

An Interpretable Digital Twin for Self-Aware Industrial Machines Open

João L. Vilar-Dias, Adelson Santos da Silva, Fernando Buarque de Lima Neto · 2023

This paper presents a proposed three-step methodology designed to enhance the performance and efficiency of industrial systems by integrating Digital Twins with particle swarm optimization (PSO) algorithms while prioritizing interpretabili…

The use of social simulation modelling to understand adherence to diabetic retinopathy screening programs Open

Andreia Penso Pereira, João Macêdo, Ana Afonso, Raul Laureano, Fernando Buarque de Lima Neto · 2023

The success of screening programs depends to a large extent on the adherence of the target population, so it is therefore of fundamental importance to develop computer simulation models that make it possible to understand the factors that …

MobApp: A Data Visualization Tool for Trajectory Analysis Open

Michael Cruz, Fernando Buarque de Lima Neto, Luciano Barbosa · 2023

In this paper, we present a demo called MobApp, a data visualization application to facilitate spatio-temporal trajectories analysis. It aims to help domain analysts and practitioners/scientists to analyze and get insights from real-world …

Use of Machine Learning to Validate an Intelligent Framework to Support Decision Making in the Public Sector Open

Álvaro Farias Pinheiro, Wylliams Barbosa Santos, Fernando Buarque de Lima Neto · 2023

Problem: Currently, many public organizations have adopted applications for process automation to avoid repetitive work and produce more efficient results; however, the development of intelligent mechanisms to support complex decision-maki…

Method to Produce More Reasonable Candidate Solutions With Explanations in Intelligent Decision Support Systems Open

Flávio Rosendo da Silva Oliveira, Fernando Buarque de Lima Neto · 2023

The integration of Artificial Intelligence techniques into Decision Support Systems yields effective solutions to decision problems, especially when complex scenarios are at hand. However, the use of intelligent black-box models can hinder…

Intelligent Framework to Support Technology and Business Specialists in the Public Sector Open

Álvaro Farias Pinheiro, Wylliams Barbosa Santos, Fernando Buarque de Lima Neto · 2023

The development of intelligent routines to support complex decision-making is not always straight-forward. In the public service the difficulties may be related to the abundance of available data sources and the number of legal standards t…

Parallelization of Swarm Intelligence Algorithms: Literature Review Open

Breno Augusto de Melo Menezes, Herbert Kuchen, Fernando Buarque de Lima Neto · 2022

Swarm Intelligence (SI) algorithms are frequently applied to tackle complex optimization problems. SI is especially used when good solutions are requested for NP hard problems within a reasonable response time. And when such problems posse…

Use of Machine Learning for Active Public Debt Collection with Recommendation for the Method of Collection Via Protest Open

Álvaro Farias Pinheiro, Denis Silva da Silveira, Fernando Buarque de Lima Neto · 2022

This work consists of applying supervised Machine Learning techniques to identify which types of active debts are appropriate for the collection method called protest, one of the means of collection used by the Attorney General of the Stat…

Five regions, five retinopathy screening programmes: a systematic review of how Portugal addresses the challenge Open

Andreia Penso Pereira, Raul Laureano, Fernando Buarque de Lima Neto · 2021

Computer simulation of diabetic retinopathy screening adherence : Agent based model with fuzzy logic Open

Andreia Penso Pereira, Raul Laureano, Fernando Buarque de Lima Neto, João Macêdo · 2021

A retinopatia diabética é uma das principais causas de cegueira nos países desenvolvidos. Uma vez que esta doença permanece assintomática nos estádios iniciais, é da máxima importância a realização de rastreios periódicos. No entanto, o su…

Five Regions, Five Retinopathy Screening Programmes: a Systematic Review of How Portugal Addresses the Challenge Open

Andreia Penso Pereira, Raul Laureano, Fernando Buarque de Lima Neto · 2021

Background: The implementation of a population-based screening programme for diabetic retinopathy involves several challenges, often leading to postponements and setbacks at high human and material costs. Thus, it is of the utmost importan…

High-Level Parallel Ant Colony Optimization with Algorithmic Skeletons Open

Breno Augusto de Melo Menezes, Nina Herrmann, Herbert Kuchen, Fernando Buarque de Lima Neto · 2021

Parallel implementations of swarm intelligence algorithms such as the ant colony optimization (ACO) have been widely used to shorten the execution time when solving complex optimization problems. When aiming for a GPU environment, developi…

Five Regions, Five Retinopathy Screening Programmes: A Systematic Review of how Portugal addresses the challenge. Open

Andreia Penso Pereira, Raul Laureano, Fernando Buarque de Lima Neto · 2021

Background: The implementation of a population-based screening programme for diabetic retinopathy involves several challenges, often leading to postponements and setbacks at high human and material costs. Thus, it is of the utmost importan…

A Dimensionality Reduction Model Applied to Documents Useful to Compliance Open

João Alberto da Silva Amaral, Fernando Buarque de Lima Neto · 2021

This paper proposes a semantic Natural Language Processing (NLP) approach used to assist in the automated characterization of information relevant to compliance activities. In this context, the Latent Semantic Analysis (LSA) technique was …

Five Regions, Five Retinopathy Screening Programmes: A Systematic Review of the Portuguese Experience Open

Andreia Penso Pereira, Raul Laureano, Fernando Buarque de Lima Neto · 2020

Background: The implementation of a population-based screening programme for diabetic retinopathy involves several challenges, often leading to postponements and setbacks at high human and material costs. Thus, it is of the utmost importan…

Data Mining for Process Modeling: A Clustered Process Discovery Approach Open

Renato Cirne, Caio Melquiades, Renan Amorim Leite, Eronita Maria Luizines Van Leijden, Alexandre Magno Andrade Maciel , et al. · 2020

Process mining has emerged as a new scientific research topic on the interface between process modeling and event data gathering.In the search for process models that best fit to reality, the process discovery approach of creating referent…

PALLAS: Penalized mAximum LikeLihood and pArticle Swarms for Inference of Gene Regulatory Networks from Time Series Data Open

Yukun Tan, Fernando Buarque de Lima Neto, Ulisses Braga-Neto · 2020

We present PALLAS, a practical method for gene regulatory network (GRN) inference from time series data, which employs penalized maximum likelihood and particle swarms for optimization. PALLAS is based on the Partially-Observable Boolean D…

Angewandte hybride adaptive Methoden zur Ganganalyse und Unterstützung therapeutischer Entscheidungen Open

Rafael Caldas, Peter Loosen, Fernando Buarque de Lima Neto, Bernd Markert · 2020

The walking pattern is frequently affected by several injuries on the lower limbs and also neurological disorders. Gait analysis is the systematic study of the walking pattern, providing information about the subject’s functional level. Ho…

Adesão ao Rastreio da Retinopatia Diabética: um Modelo de Simulação Baseado em Agentes Open

Andreia Penso Pereira, Raul Laureano, Fernando Buarque de Lima Neto, João Macêdo · 2020

A retinopatia diabética é a principal causa de cegueira nos países desenvolvidos. A forma mais eficaz de evitar a evolução da doença é o seu diagnóstico atempado, através de programas de rastreio de base populacional. Um dos principais pro…

Parallelization Strategies for GPU-Based Ant Colony Optimization Applied to TSP Open

Breno Augusto de Melo Menezes, Luis Filipe de Araujo Pessoa, Herbert Kuchen, Fernando Buarque de Lima Neto · 2020

Graphics Processing Units (GPUs) have been widely used to speed up the execution of various meta-heuristics for solving hard optimization problems. In the case of Ant Colony Optimization (ACO), many implementations with very distinct paral…

Investigando a Plausibilidade de Classificadores de Imagens Aplicados à Detecção de Motoristas Distraídos Open

Flávio Rosendo da Silva Oliveira, Felipe Farias, Fernando Buarque de Lima Neto · 2020

Computational Intelligence applied to Human Genome Data for the Dengue Severity Prognosis Open

Caio Davi, André Filipe Pastor, Thiego Oliveira, Fernando Buarque de Lima Neto, Ulisses Braga-Neto , et al. · 2018

Dengue has become one of the most important worldwide arthropodborne diseases around the world. Here, one hundred and two Brazilian dengue virus (DENV) III patients and controls were genotyped for 322 innate immunity gene loci. All biologi…

O TEMA em questão: investigação Open

Antonio Danilo Feitosa Bastos, Robertt Valente, António Completo, Margarida C. Coelho, Paula A. A. P. Marques , et al. · 2018

O TEMA tem procurado a excelência através da investigação e inovação de vanguarda desde 1996. Com base no seu capital humano, equipamentos e laboratórios, o TEMA está especialmente alinhado com dois desafios societais, procurando contribui…

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