Proceedings of the Brazilian Conference on Intelligent Systems (BRACIS)

Current Issue

2023: Proceedings of the 12th Brazilian Conference on Intelligent Systems

The Proceedings of the 12th Brazilian Conference on Intelligent Systems (BRACIS 2023) bring the papers selected and presented in the edition of the event held from September 25 to 29, 2023, in the city of Belo Horizonte/MG, Brazil. In this issue, the proceedings include 89 papers. These papers were selected through a double-blind review, from a total of 242 papers submitted, which implied an acceptance rate of 37%. The event's program committee was coordinated by Reinaldo Bianchi (FEI) and Murilo Naldi (UFSCar), who organized this volume. The articles in this volume were submitted on 05/21/2023, accepted for publication on 06/26/2023, with the final version submitted on 07/10/2023.

You can find more information about BRACIS 2023 by visiting the website of the event.

Published: 2023-09-25

Opening

Front-Matter

i-xviii
- Springer

Papers

Embracing Data Irregularities in Multivariate Time Series with Recurrent and Graph Neural Networks

Marcel Rodrigues de Barros, Thiago Lizier Rissi, Eduardo Faria Cabrera, Eduardo Aoun Tannuri, Edson Satoshi Gomi, Rodrigo Augusto Barreira, Anna Helena Reali Costa

3-17
- Springer
Regulation and Ethics of Facial Recognition Systems: An Analysis of Cases in the Court of Appeal in the State of São Paulo

Cristina Godoy B. de Oliveira, Otávio de Paula Albuquerque, Emily Liene Belotti, Isabella Ferreira Lopes, Rodrigo Brandão de A. Silva, Glauco Arbix

19-32
- Springer
A Combinatorial Optimization Model and Polynomial Time Heuristic for a Problem of Finding Specific Structural Patterns in Networks

Igor M. Sampaio, Karla Roberta P. S. Lima

33-47
- Springer
Efficient Density-Based Models for Multiple Machine Learning Solutions over Large Datasets

Natanael F. Dacioli Batista, Bruno Leonel Nunes, Murilo Coelho Naldi

48-62
- Springer
Exploring Text Decoding Methods for Portuguese Legal Text Generation

Kenzo Sakiyama, Raphael Montanari, Roseval Malaquias Junior, Rodrigo Nogueira, Roseli A. F. Romero

63-77
- Springer
Community Detection for Multi-label Classification

Elaine Cecília Gatto, Alan Demétrius Baria Valejo, Mauri Ferrandin, Ricardo Cerri

78-93
- Springer
A Monte Carlo Algorithm for Time-Constrained General Game Playing

Victor Scherer Putrich, Anderson Rocha Tavares, Felipe Meneguzzi

97-111
- Springer
α-MCMP: Trade-Offs Between Probability and Cost in SSPs with the MCMP Criterion

Gabriel Nunes Crispino, Valdinei Freire, Karina Valdivia Delgado

112-127
- Springer
Specifying Preferences over Policies Using Branching Time Temporal Logic

Warlles Carlos Costa Machado, Viviane Bonadia dos Santos, Leliane Nunes de Barros, Maria Viviane de Menezes

128-143
- Springer
Logic-Based Explanations for Linear Support Vector Classifiers with Reject Option

Francisco Mateus Rocha, Thiago Alves Rocha, Reginaldo Pereira Fernandes Ribeiro, Ajalmar Rêgo Rocha

144-159
- Springer
The Multi-attribute Fairer Cover Problem

Ana Paula S. Dantas, Gabriel Bianchin de Oliveira, Helio Pedrini, Cid C. de Souza, Zanoni Dias

163-177
- Springer
A Custom Bio-Inspired Algorithm for the Molecular Distance Geometry Problem

Sarah Ribeiro Lisboa Carneiro, Michael Ferreira de Souza, Douglas O. Cardoso, Luís Tarrataca, Laura S. Assis

178-192
- Springer
Allocating Dynamic and Finite Resources to a Set of Known Tasks

João da Silva, Sarajane Peres, Daniel Cordeiro, Valdinei Freire

193-208
- Springer
A Multi-algorithm Approach to the Optimization of Thermal Power Plants Operation

Gabriela T. Justino, Gabriela C. Freitas, Camilla B. Batista, Kleyton P. Cotta, Bruno Deon, Flávio L. Loução Jr., Rodrigo J. S. de Almeida, Carlos A. A. de Araújo Jr.

209-223
- Springer
An Incremental MaxSAT-Based Model to Learn Interpretable and Balanced Classification Rules

Antônio Carlos Souza Ferreira Júnior, Thiago Alves Rocha

227-242
- Springer
d-CC Integrals: Generalizing CC-Integrals by Restricted Dissimilarity Functions with Applications to Fuzzy-Rule Based Systems

Joelson Sartori, Giancarlo Lucca, Tiago Asmus, Helida Santos, Eduardo Borges, Benjamin Bedregal, Humberto Bustince, Graçaliz Pereira Dimuro

243-258
- Springer
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-Based Feature Extraction

Sammuel Ramos Silva, Rodrigo Silva

259-273
- Springer
Hierarchical Time-Aware Approach for Video Summarization

Leonardo Vilela Cardoso, Gustavo Oliveira Rocha Gomes, Silvio Jamil Ferzoli Guimarães, Zenilton Kleber Gonçalves do Patrocínio Júnior

274-288
- Springer
Analyzing College Student Dropout Risk Prediction in Real Data Using Walk-Forward Validation

Rodolfo Sanches Santos, Moacir Antonelli Ponti, Kamila Rios Rodrigues

291-305
- Springer
The Artificial Intelligence as a Technological Resource in the Application of Tasks for the Development of Joint Attention in Children with Autism

Nathália Assis Valentim, Fabiano Azevedo Dorça, Valéria Peres Asnis, Nassim Chamel Elias

306-320
- Springer
Machine Teaching: An Explainable Machine Learning Model for Individualized Education

Eduardo Vargas Ferreira, Ana Carolina Lorena

321-336
- Springer
BLUEX: A Benchmark Based on Brazilian Leading Universities Entrance eXams

Thales Sales Almeida, Thiago Laitz, Giovana K. Bonás, Rodrigo Nogueira

337-347
- Springer
Towards Generating P-Contrastive Explanations for Goal Selection in Extended-BDI Agents

Henrique Jasinski, Mariela Morveli-Espinoza, Cesar Augusto Tacla

351-366
- Springer
Applying Theory of Mind to Multi-agent Systems: A Systematic Review

Michele Rocha, Heitor Henrique da Silva, Analúcia Schiaffino Morales, Stefan Sarkadi, Alison R. Panisson

367-381
- Springer
A Spin-off Version of Jason for IoT and Embedded Multi-Agent Systems

Carlos Eduardo Pantoja, Vinicius Souza de Jesus, Nilson Mori Lazarin, José Viterbo

382-396
- Springer
Hybrid Multilevel Explanation: A New Approach for Explaining Regression Models

Renato Miranda Filho, Gisele L. Pappa

399-414
- Springer
Explainability of COVID-19 Classification Models Using Dimensionality Reduction of SHAP Values

Daniel Matheus Kuhn, Melina Silva de Loreto, Mariana Recamonde-Mendoza, João Luiz Dihl Comba, Viviane Pereira Moreira

415-430
- Springer
An Explainable Model to Support the Decision About the Therapy Protocol for AML

Jade M. Almeida, Giovanna A. Castro, João A. Machado-Neto, Tiago A. Almeida

431-446
- Springer
Bayes and Laplace Versus the World: A New Label Attack Approach in Federated Environments Based on Bayesian Neural Networks

Pedro H. Barros, Fabricio Murai, Heitor S. Ramos

449-463
- Springer
MAT-Tree: A Tree-Based Method for Multiple Aspect Trajectory Clustering

Yuri Santos, Ricardo Giuliani, Vania Bogorny, Mateus Grellert, Jônata Tyska Carvalho

464-478
- Springer
Transformer Model for Fault Detection from Brazilian Pre-salt Seismic Data

Letícia Bomfim, Oton Cunha, Michelle Kuroda, Alexandre Vidal, Helio Pedrini

3-17
- Springer
Evaluating Recent Legal Rhetorical Role Labeling Approaches Supported by Transformer Encoders

Alexandre Gomes de Lima, José G. Moreno, Taoufiq Dkaki, Eduardo Henrique da S. Aranha, Mohand Boughanem

18-32
- Springer
Dog Face Recognition Using Vision Transformer

Victor Hugo Braguim Canto, João Renato Ribeiro Manesco, Gustavo Botelho de Souza, Aparecido Nilceu Marana

33-47
- Springer
Convolutional Neural Networks for the Molecular Detection of COVID-19

Anisio P. Santos Jr., Anage C. Mundim Filho, Robinson Sabino-Silva, Murillo G. Carneiro

51-62
- Springer
Hierarchical Graph Convolutional Networks for Image Classification

João Pedro Oliveira Batisteli, Silvio Jamil Ferzoli Guimarães, Zenilton Kleber Gonçalves do Patrocínio Júnior

63-76
- Springer
Interpreting Convolutional Neural Networks for Brain Tumor Classification: An Explainable Artificial Intelligence Approach

Dieine Estela Bernieri Schiavon, Carla Diniz Lopes Becker, Viviane Rodrigues Botelho, Thatiane Alves Pianoski

77-91
- Springer
Enhancing Stock Market Predictions Through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-market Analysis

Filipe Ramos, Guilherme Silva, Eduardo Luz, Pedro Silva

92-106
- Springer
Ensemble Architectures and Efficient Fusion Techniques for Convolutional Neural Networks: An Analysis on Resource Optimization Strategies

Cícero L. Costa, Danielli A. Lima, Celia A. Zorzo Barcelos, Bruno A. N. Travençolo

107-121
- Springer
Dog Face Recognition Using Deep Features Embeddings

João P. B. Andrade, Leonardo F. Costa, Lucas S. Fernandes, Paulo A. L. Rego, José G. R. Maia

125-139
- Springer
Clinical Oncology Textual Notes Analysis Using Machine Learning and Deep Learning

Diego Pinheiro da Silva, William da Rosa Fröhlich, Marco Antonio Schwertner, Sandro José Rigo

140-153
- Springer
EfficientDeepLab for Automated Trachea Segmentation on Medical Images

Arthur Guilherme Santos Fernandes, Geraldo Braz Junior, João Otávio Bandeira Diniz, Aristófanes Correa Silva, Caio Eduardo Falcõ Matos

154-166
- Springer
Multi-label Classification of Pathologies in Chest Radiograph Images Using DenseNet

Alison Corrêa Mendes, Alexandre César Pinto Pessoa, Anselmo Cardoso de Paiva

167-180
- Springer
Does Pre-training on Brain-Related Tasks Results in Better Deep-Learning-Based Brain Age Biomarkers?

Bruno M. Pacheco, Victor H. R. de Oliveira, Augusto B. F. Antunes, Saulo D. S. Pedro, Danilo Silva

181-194
- Springer
Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence

André A. V. Escorel Ribeiro, Rodrigo Cesar Lira, Mariana Macedo, Hugo Valadares Siqueira, Carmelo Bastos-Filho

197-212
- Springer
Deep Reinforcement Learning for Voltage Control in Power Systems

Mauricio W. Barg, Barbara S. Rodrigues, Gabriela T. Justino, Kleyton Pontes Cotta, Hugo R. V. Portuita, Flávio L. Loução Jr., Iran Pereira Abreu, Antônio Carlos Pigossi Jr.

213-227
- Springer
Performance Analysis of Generative Adversarial Networks and Diffusion Models for Face Aging

Bruno Kemmer, Rodolfo Simões, Victor Ivamoto, Clodoaldo Lima

228-242
- Springer
Occluded Face In-painting Using Generative Adversarial Networks—A Review

Victor Ivamoto, Rodolfo Simões, Bruno Kemmer, Clodoaldo Lima

243-258
- Springer
Classification of Facial Images to Assist in the Diagnosis of Autism Spectrum Disorder: A Study on the Effect of Face Detection and Landmark Identification Algorithms

Gabriel C. Michelassi, Henrique S. Bortoletti, Tuany D. Pinheiro, Thiago Nobayashi, Fabio R. D. de Barros, Rafael L. Testa, Andréia F. Silva, Mirian C. Revers, Joana Portolese, Helio Pedrini, Helena Brentani, Fatima L. S. Nunes, Ariane Machado-Lima

261-275
- Springer
Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design

Rodney Renato de Souza Silva, Ricardo Cerri

276-290
- Springer
AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification

Aline Marques Del Valle, Rafael Gomes Mantovani, Ricardo Cerri

291-306
- Springer
Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset

Pedro Castro, Gabriel Fortuna, Pedro Silva, Andrea G. C. Bianchi, Gladston Moreira, Eduardo Luz

307-322
- Springer
Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification

Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi

323-337
- Springer
A Feature-Based Out-of-Distribution Detection Approach in Skin Lesion Classification

Thiago Carvalho, Marley Vellasco, José Franco Amaral, Karla Figueiredo

338-352
- Springer
A Framework for Characterizing What Makes an Instance Hard to Classify

Maria Gabriela Valeriano, Pedro Yuri Arbs Paiva, Carlos Roberto Veiga Kiffer, Ana Carolina Lorena

353-367
- Springer
Physicochemical Properties for Promoter Classification

Lauro Moraes, Eduardo Luz, Gladston Moreira

368-382
- Springer
Critical Analysis of AI Indicators in Terms of Weighting and Aggregation Approaches

Renata Pelissari, Betania Campello, Guilherme Dean Pelegrina, Ricardo Suyama, Leonardo Tomazeli Duarte

385-399
- Springer
Estimating Code Running Time Complexity with Machine Learning

Ricardo J. Pfitscher, Gabriel B. Rodenbusch, Anderson Dias, Paulo Vieira, Nuno M. M. D. Fouto

400-414
- Springer
The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection

Marcel Chacon Gonçalves, Rodrigo Silva

415-427
- Springer
Multiobjective Evolutionary Algorithms Applied to the Optimization of Expanded Genetic Codes

Maísa de Carvalho Silva, Paulo Guilherme Pinheiro Pereira, Lariza Laura de Oliveira, Renato Tinós

3-16
- Springer
Genetic Algorithms with Optimality Cuts to the Max-Cut Problem

Pablo Luiz Braga Soares, Carlos Victor Dantas Araújo

17-32
- Springer
Assessment of Robust Multi-objective Evolutionary Algorithms on Robust and Noisy Environments

Mateus Clemente de Sousa, Ivan Reinaldo Meneghini, Frederico Gadelha Guimarães

33-48
- Springer
Binary Flying Squirrel Optimizer for Feature Selection

Luiz Fernando Merli de Oliveira Sementille, Douglas Rodrigues, André Nunes de Souuza, João Paulo Papa

51-64
- Springer
Fitness Landscape Analysis of TPOT Using Local Optima Network

Matheus Cândido Teixeira, Gisele Lobo Pappa

65-79
- Springer
Optimization Strategies for BERT-Based Named Entity Recognition

Monique Monteiro, Cleber Zanchettin

80-94
- Springer
FlexCon-CE: A Semi-supervised Method with an Ensemble-Based Adaptive Confidence

Arthur Medeiros, Arthur C. Gorgônio, Karliane Medeiros Ovidio Vale, Flavius L. Gorgônio, Anne Magály de Paula Canuto

95-109
- Springer
Single Image Super-Resolution Based on Capsule Neural Networks

George Corrêa de Araújo, Artur Jordão, Helio Pedrini

113-128
- Springer
Development of a Deep Learning Model for the Classification of Mosquito Larvae Images

Ramon Mayor Martins, Bruno Manarin Espíndola, Pedro Philippi Araujo, Christiane Gresse von Wangenheim, Carlos José de Carvalho Pinto, Gisele Caminha

129-145
- Springer
A Simple and Low-Cost Method for Leaf Surface Dimension Estimation Based on Digital Images

Karla Gabriele Florentino da Silva, Jonas Magalhães Moreira, Gabriel Barreto Calixto, Luiz Maurílio da Silva Maciel, Márcio Assis Miranda, Leandro Elias Morais

146-161
- Springer
Crop Row Line Detection with Auxiliary Segmentation Task

Igor Ferreira da Costa, Wouter Caarls

162-175
- Springer
Multiple Object Tracking in Native Bee Hives: A Case Study with Jataí in the Field

Rodolfo R. V. Leocádio, Alan Kardek Rêgo Segundo, Gustavo Pessin

176-191
- Springer
An Open Source Eye Gaze Tracker System to Perform Remote User Testing Evaluations

Marc G. Capdevila, Karine Aparecida P. Rodrigues, Camila F. Jardim, Renato M. Silva

192-207
- Springer
Who Killed the Winograd Schema Challenge?

Hugo Neri, Fabio G. Cozman

211-225
- Springer
Sabiá: Portuguese Large Language Models

Ramon Pires, Hugo Abonizio, Thales Sales Almeida, Rodrigo Nogueira

226-240
- Springer
Disambiguation of Universal Dependencies Part-of-Speech Tags of Closed Class Words in Portuguese

Lucelene Lopes, Paulo Fernandes, Marcio L. Inacio, Magali S. Duran, Thiago A. S. Pardo

241-255
- Springer
Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain

Lucas Pavanelli, Yohan Bonescki Gumiel, Thiago Ferreira, Adriana Pagano, Eduardo Laber

256-267
- Springer
LegalBert-pt: A Pretrained Language Model for the Brazilian Portuguese Legal Domain

Raquel Silveira, Caio Ponte, Vitor Almeida, Vládia Pinheiro, Vasco Furtado

268-282
- Springer
A Framework for Controversial Political Topics Identification Using Twitter Data

Kenzo Sakiyama, Lucas de Souza Rodrigues, Bruno Magalhães Nogueira, Edson Takashi Matsubara, Roseli A. F. Romero

283-298
- Springer
Leveraging Sign Language Processing with Formal SignWriting and Deep Learning Architectures

Fernando de Almeida Freitas, Sarajane Marques Peres, Otávio de Paula Albuquerque, Marcelo Fantinato

299-314
- Springer
A Clustering Validation Index Based on Semantic Description

Roberto Douglas Guimarães de Aquino, Vitor Venceslau Curtis, Filipe Alves Neto Verri

315-328
- Springer
Detecting Multiple Epidemic Sources in Network Epidemics Using Graph Neural Networks

Rodrigo Gonçalves Haddad, Daniel Ratton Figueiredo

331-345
- Springer
Prediction of Cancer-Related miRNA Targets Using an Integrative Heterogeneous Graph Neural Network-Based Method

Emanoel Aurelio Vianna Fabiano, Mariana Recamonde-Mendoza

346-360
- Springer
Time Series Forecasting of COVID-19 Cases in Brazil with GNN and Mobility Networks

Fernando Henrique Oliveira Duarte, Gladston J. P. Moreira, Eduardo J. S. Luz, Leonardo B. L. Santos, Vander L. S. Freitas

361-375
- Springer
Federated Learning and Mel-Spectrograms for Physical Violence Detection in Audio

Victor E. de S. Silva, Tiago B. Lacerda, Péricles Miranda, André Câmara, Amerson Riley Cabral Chagas, Ana Paula C. Furtado

379-393
- Springer
Police Report Similarity Search: A Case Study

José Alan Firmiano Araújo, Ticiana L. Coelho da Silva, Atslands Rego da Rocha, Vinicius Cezar Monteiro de Lira

394-409
- Springer
Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain

Henrique R. Hott, Mariana O. Silva, Gabriel P. Oliveira, Michele A. Brandão, Anisio Lacerda, Gisele Pappa

410-426
- Springer
A Tool for Measuring Energy Consumption in Data Stream Mining

Eric Kenzo Taniguchi Onuki, Andreia Malucelli, Jean Paul Barddal

429-440
- Springer
Improved Fuzzy Decision System for Energy Bill Reduction in the Context of the Brazilian White Tariff Scenario

Raimunda Branco, Filipe Saraiva

441-454
- Springer
Exploring Artificial Intelligence Methods for the Automatic Measurement of a New Biomarker Aiming at Glaucoma Diagnosis

Gabriel C. Fernandes, Fabio Lavinsky, Sandro José Rigo, Henrique C. Bohn

455-469
- Springer
Investigation of Deep Active Self-learning Algorithms Applied to Named Entity Recognition

José Reinaldo Cunha Santos A. V. Silva Neto, Thiago de Paulo Faleiros

470-484
- Springer

View All Issues