Proceedings of the Brazilian Conference on Intelligent Systems (BRACIS)

Current Issue

2025: Proceedings of the 35th Brazilian Conference on Intelligent Systems

The Proceedings of the XXXV Brazilian Conference on Intelligent Systems (BRACIS 2025) bring the papers selected and presented in the edition of the event held from September 29 to October 2, 2025, in the city of Fortaleza/CE, Brazil. In this issue, the proceedings include 147 papers. These papers were selected through a double-blind review, from a total of 393 papers submitted, which implied an acceptance rate of 37.4%. The event's program committee was coordinated by Diego Furtado Silva (USP) and Rosiane de Freitas-Rodrigues (UFAM), who organized this volume. The articles in this volume were submitted on 05/12/2025, accepted for publication on 06/21/2025, with the final version submitted on 06/30/2025.

You can find more information about BRACIS 2025 by visiting the website of this edition of the event.

Published: 2025-09-29

Main Track

A Categorical Kalman Filter for Human Activity Recognition

Diego S. de França, Anselmo R. Pitombeira-Neto, Lívia A. Cruz, Jose Antonio F. de Macedo

3-17
- Springer
A Comprehensive Study of Fitness Landscapes in AutoML: The Impact of Dataset Complexity and Search Space Neutrality

Thiago R. França, Ricardo B. C. Prudêncio, Péricles B. C. de Miranda

18-33
- Springer
A Generative Domain Adaptation Scheme for Swift Deployment of Parking Monitoring Systems

Antonio Michel Ferreira dos Santos, Paulo Ricardo Lisboa de Almeida, Jean Paul Barddal, André Gustavo Hochuli

34-49
- Springer
A Multidimensional Analysis of Swarm Dynamics in a Reinforcement Learning-Based Metaheuristic

Rodrigo Cesar Lira, Mariana Macedo, Hugo Valadares Siqueira, Carmelo Bastos-Filho

50-65
- Springer
A NAS-Optimized Deep Learning Model for Customer Churn Prediction in Financial Services

Marcus Almeida, Ivair Silva, Vander Freitas, Eduardo Luz, Gladston Moreira

66-81
- Springer
A New Approach for Obtain Reduced Sets in Least Squares Support Vector Machine: Lengthen via Levenberg-Marquardt

Felipe P. Marinho, Wellington D. de Almeida, Victor O. Santos, Ajalmar R. R. Neto

82-96
- Springer
A Note on Learning Algorithms as Approximations of Solomonoff Induction

Cleyton Slaviero, Edward Hermann Haeusler

97-115
- Springer
Adversarial Attack on Large Language Models for the Portuguese Language

Allan Chamon Figueiredo, Pedro Nuno de Souza Moura, Adriana C. F. Alvim

116-130
- Springer
Agentic AI Meets Fundamentalist Financial Analysis: Limits and Possibilities

João Nepomuceno, Eduardo Rottschaefer, Gabriel Assis, Thiago Castro Ferreira, Aline Paes

131-145
- Springer
AI Agents Powered by Open-Source Language Models for Causal Understanding in Portuguese

Uriel Lasheras, Elioenai Alves, Caio Ponte, Carlos Caminha, Diego Silva, Vládia Pinheiro

146-161
- Springer
APVAT: Attention Perturbation in Virtual Adversarial Training for Semi-supervised Learning

José Marcio Duarte, Evangelos Milios, Lilian Berton

162-176
- Springer
Argumentation Schemes for Stress Inference

Alison R. Panisson Morales, Analúcia Schiaffino Morales

177-192
- Springer
Boosting OOD Detection in Biomedical Data with Siamese Neural Networks

Eduardo Sperle Honorato, Gabriel José Pelisser Dalalana

193-207
- Springer
BR-TaxQA-R: A Dataset for Question Answering with References for Brazilian Personal Income Tax Law, Including Case Law

Juvenal Domingos Júnior, Augusto Faria, E. Seiti de Oliveira, Erick de Brito, Matheus Teotonio, Andre Assumpção, Diedre Carmo, Roberto Lotufo, Jayr Pereira

208-222
- Springer
Classification with Reject Option: Building Meta-models to Predict Classification Error

Patricia S. M. Ueda, Maria Gabriela Valeriano, Arthur D. Mangussi, Ricardo B. C. Prudêncio, Ana C. Lorena

223-238
- Springer
CLS, Averaging, or Layer Combinations? Embedding Strategies for Text Classification Across BERT Variants

Eliton Luiz Scardin Perin, Mariana Caravanti de Souza, Anderson Bessa Costa, Edson Takashi Matsubara

239-254
- Springer
Clustering Explainability: A Systematic Literature Review

Guilherme S. Oliveira, Fabrício A. Silva

255-269
- Springer
Combining Large Language Model Embeddings and Graph Neural Networks for Accurate Job Recommendations

Alexandre dos Santos Gualberto, Alan Demétrius Baria Valejo, Murilo Coelho Naldi

270-284
- Springer
Cost-Efficient Visual Perception for Autonomous Vehicles: Leveraging Attention-Based Sensor Fusion to Maintain Performance

Eduardo Sperle Honorato, Vanderlei Bonato, Denis Fernando Wolf

285-299
- Springer
Data Complexity and Instance Hardness Measures in Transferability Evaluation

Derick W. B. Rangel, Alfredo A. A. Exposito De Queiroz, Ana C. Lorena

300-314
- Springer
Data Stream Mining to Predict Recommended Actions for Firewall Network Traffic

Herbert Gonçalves Dias, Wagner Rafael Giarini, Ricardo Cerri

315-330
- Springer
Dead-End Discovery and Secure Exploration via Large Language Models

Christian Delgado Polar, Leliane Nunes de Barros, Valdinei Freire, Karina Valdivia Delgado

331-346
- Springer
Deep Graph Clustering Using Graph Neural Networks and Seed Detection

Carlos Pereira Lopes Filho, Guilherme Henrique Messias, Sylvia Iasulaitis, Alneu de Andrade Lopes, Alan Demétrius Baria Valejo

347-361
- Springer
Deep Learning for Helicobacter Pylori Classification: A Comparative Approach Using Transfer Learning and Data Augmentation

François F. R. Barbosa, Rodrigo N. Borges, Patrick Ryan S. Santos, Antonio Oseas C. Filho, Ivan S. Silva, Rodrigo M. S. Veras

362-375
- Springer
Deep Neural Networks Techniques with Ensemble-Based Methods Applied to Data-Driven Proxy Reservoir Simulator

Diogo M. Almeida, Juan A. R. Tueros, Bernardo Horowitz

376-392
- Springer
DiagHW: A Compact LLM for Hardware Failure Diagnosis via a Novel Knowledge Distillation Pipeline

Carlos Caminha, Maria de Lourdes M. Silva, Iago C. Chaves, Felipe T. Brito, Victor A. E. Farias, Javam C. Machado

393-407
- Springer
EffAttNet: Improving Early Glaucoma Detection with EfficientNet-B3 and Attention Modules

Eduardo A. M. de Souza, Daniela A. Hayashi, Alexandre F. Brandão, Helio Pedrini, Ademar T. Akabane

408-423
- Springer
Enhanced Forecasting Model Using Transformers, Extended Long-Short-Term Memory, and Randomized Fuzzy Cognitive Maps

Omid Orang, Petrônio C. L. Silva, Frederico G. Guimarães

424-438
- Springer
Enhanced Quantum-Inspired Neural Architecture Search with Adaptive Pre-trained Backbone Integration

Diego Páez Ardila, Thiago Medeiros Carvalho, Santiago Vasquez, Fabio Cardoso, Karla Figueiredo, Marley Vellasco

439-452
- Springer
Enhancing Framingham Cardiovascular Risk Score Transparency Through Logic-Based XAI

Emannuel L. de A. Bezerra, Luiz H. T. Viana, Vinícius P. Chagas, Diogo E. Rolim, Thiago A. Rocha, Carlos H. L. Cavalcante

453-463
- Springer
Enhancing Graph Neural Networks for Multi-target Activity Prediction Through Multi-task Learning and Knowledge Distillation

Arthur Cerveira, Frederico Kremer, Gabriel A. Gomes, Ulisses B. Corrêa

464-477
- Springer
Estimating Variable Importance and Interaction in Machine Learning via Genetic Algorithms

David Gabriel Guimarães, Sabrina Sousa Carvalho, Renato Higor do Nascimento, Renato Tinós

478-492
- Springer
Evaluating Question Answering Model Robustness Against Typographical Mistakes Using Adversarial Attacks

Ricardo Saraiva Grava, Anarosa Alves Franco Brandão, Sarajane Marques Peres, Fabio Gagliardi Cozman

493-507
- Springer
Evaluating the Power Measure with Choquet-Based Generalizations in Fuzzy Rule-Based Classification Systems

Giancarlo Lucca, Tiago Asmus, Graçaliz P. Dimuro, Bruno L. Dalmazo, Rafael A. Berri, Renata S. H. Reiser, Adenauer C. Yamin, Cedric Marco-Detchard, Humberto Bustince

508-523
- Springer
Evaluating the Use of Knowledge Graph Embeddings to Identify Influential Nodes in Heterogeneous Networks

João Gabriel Melo Barbirato, Alneu de Andrade Lopes

524-538
- Springer
Evaluation of Explainable Artificial Intelligence Methods for Deep Time Series Classification of Biosignals

Diego R. de Sá, César Lincoln C. Mattos, Regis P. Magalhães

539-554
- Springer
Extending the Minimal Learning Machine for Classification and Regression on Interval-Valued Data

Diêgo F. Oliveira, César L. C. Mattos, João P. P. Gomes

555-570
- Springer
Face-Obfuscated Deepfake Detection by Learning Spatial and High-Frequency Generative Artifacts

João Rabello Alvim, Miguel D. S. Wanderley, Italo Duarte Oliveira, Itallo Dias, Matheus Paz Gamba, Kátia Poloni

571-585
- Springer
Generative SLMs Meet Brazilian Legal Documents: Efficient NER via LoRA Fine-Tuning

Matheus S. V. Oliveira, Pedro B. Pio, Luís P. F. Garcia

586-599
- Springer
Genetic Algorithm for Interpretability in Vision Language Models

Marcelo H. L. Barreto, Cristiano L. Oliveira, Flávio A. O. Santos, Paulo Novais, Leonardo N. Matos, André Britto

600-614
- Springer
GraphRAG on Electronic Health Record: A Knowledge Graph-Enhanced RAG Approach for Healthcare Information Access

João V. R. Baptista, Luís P. F. Garcia

615-630
- Springer
Hardness Sampling: Exploring Instance Hardness in Pool-Based Active Learning

Gabriel da S. C. Nogueira, Davi P. dos Santos, André C. P. L F. de Carvalho, Luís P. F. Garcia

3-17
- Springer
Hotel Intelligence: Maximizing Revenue with Nonlinear Dynamic Pricing and Predictive Demand Analysis

Filipe Dwan Pereira, George Zambonin, Francisco Bráulio Oliveira, Christiano Penna, Gabriel Vasconcelos, Gabriel Barbosa, João Paulo Freitas, Pedro Dreyer, Ricardo Fernandes, Rafael Ferreira Mello

18-33
- Springer
Identifying Asymptomatic Nodes in Network Epidemics Using Graph Neural Networks

Conrado Catarcione Pinto, Amanda Camacho Novaes de Oliveira, Rodrigo Sapienza Luna, Daniel Ratton Figueiredo

34-48
- Springer
Improving Medical Image Segmentation with Semantic Mask-Guided Diffusion Models

Marcelo Clasen Ribeiro, Marilton Sanchotene de Aguiar

49-63
- Springer
Increasing Time Series Forecasting Performance with Dynamic System Copula-Based Ensemble Models

Ademir Neto, Tiago Ferreira, Paulo Firmino

64-78
- Springer
Inference Time Debiasing Concepts in Diffusion Models

Lucas S. Kupssinskü, Marco N. Bochernitsan, Jordan Kopper, Otávio Parraga, Rodrigo C. Barros

79-93
- Springer
Interpolation of Multivariate Time Series with Nearly-Symmetric Time Translations

Bernardo Teixeira, Marcel Barros, Edson Gomi, Eduardo Tannuri, Fábio Levy Siqueira, Anna Helena Reali Costa

94-106
- Springer
Is Machine-Translation Enough? Understanding Impacts in LLM Benchmarking

Taígo Ítalo de Moraes Pedrosa, Evandro de Barros Costa, Robério José Rogério dos Santos

107-120
- Springer
Juru: Legal Brazilian Large Language Model from Reputable Sources

Roseval Malaquias Junior, Ramon Pires, Roseli A. F. Romero, Rodrigo Nogueira

121-134
- Springer
Information Retrieval and In-Context Learning for Low-Resource Named Entity Recognition

Enzo Shiraishi, Raphael Y. de Camargo, Henrique L. P. Silva, Ronaldo C. Prati

135-149
- Springer
Maximum Dispersion, Maximum Concentration: Enhancing the Quality of MOP Solutions

Gladston Moreira, Ivan Meneghini, Elizabeth Wanner

150-165
- Springer
Mind the Gap: Investigating the Impact of Data Leakage on Machine Learning Predictive Models

Augusto Exenberger Becker, Mariana Recamonde-Mendoza

166-180
- Springer
Mitigating High Dimensionality and Few Training Data with a Quantum Kernel Learning Approach

Mauro Nooblath, João Bessa, Rosiane de Freitas

181-195
- Springer
Multilevel Strategy for Community Detection in k-Partite Networks

Renata Sarmet Smiderle Mendes, Alan Demétrius Baria Valejo, Alneu de Andrade Lopes

196-211
- Springer
Neural Networks with Adaptive and Trainable Activation Functions Applied to Solve Stochastic Differential Equations

Ingrid de Araújo Felix, João Henrique de Medeiros Delgado, Tiago A. E. Ferreira

212-226
- Springer
New Generalizations of the Choquet Integral by Restricted Dissimilarity Functions

Giancarlo Lucca, Tiago Asmus, Graçaliz P. Dimuro, Helida Santos, Renata S. H. Reiser, Adenauer C. Yamin, Cedric Marco-Detchard, Humberto Bustince

227-241
- Springer
NFT Collection Classification: A Multimodal Approach Integrating Metadata and Textual Embeddings with Supervised Learning

Samuel de Oliveira Ribeiro, Markesley Ramos do Nascimento, Dayan Ramos Gomes, Saulo Moraes Villela, Glauber Dias Gonçalves

242-255
- Springer
On the Combination of Machine Learning Techniques with Simulated Annealing to Identify Professional Accounts in Ethereum

Júlia Almeida Valadares, Saulo Moraes Villela, Heder Soares Bernardino, Alex Borges Vieira

256-270
- Springer
OnlineSIRUOS: An Inverse Random Under and Oversampling, Heterogeneous Ensemble, and Meta-learning Approach for Imbalanced Data Stream Classification

Vinicios Cainã dos Santos Coelho, Alceu de Souza Britto Jr., Jean Paul Barddal

271-285
- Springer
Ontology-Enriched BERT for Financial Market State Prediction

Igor Felipe Carboni Battazza, Cleyton Mário de Oliveira Rodrigues, João Fausto L. de Oliveira

286-300
- Springer
Performance Analysis of Quantization in Federated Split Learning

Claro Henrique S. Sales, Francisco Bruno Heron de Carvalho Junior, Allberson de Oliveira Dantas

301-314
- Springer
Pose-Based Fall Detection Across Views: Boosting Generalization with Synthetic Data and Data Augmentation

Eduardo Façanha Dutra, Arthur Cavalcante e Silva, Maria Andréia Formico Rodrigues

315-330
- Springer
Positive and Unlabeled Graph Learning with Large Language Models for Fake News Detection

Guilherme Henrique Messias, Mariana Caravanti de Souza, Yanni Marcela Gameiro, Sylvia Iasulaitis, Eloize Rossi Marques Seno, Solange Oliveira Rezende, Alan Demétrius Baria Valejo

331-346
- Springer
Pre-trained Code Language Models for Just-in-Time Software Defect Prediction: An Empirical Study

Monique Louise Monteiro, George Gomes Cabral, Adriano Lorena de Oliveira

347-361
- Springer
Probabilities of Causation and Root Cause Analysis with Quasi-Markovian Models

Eduardo Rocha Laurentino, Fabio Gagliardi Cozman, Denis Deratani Mauá, Daniel Angelo Esteves Lawand, Davi Goncalves Bezerra Coelho, Lucas Martins Marques

362-376
- Springer
Proposing an Efficient CNN-Based Architecture for Image Processing

Verner Rafael Ferreira, Anne Magaly de Paula Canuto

377-394
- Springer
Reducing Dependence on Labeled Data: A Self-Supervised Fine-Tuning Approach for Low-Resource Language Models

Gian Franco Condori-Luna, Didier Vega-Oliveros, Marcelo da Silva Reis

395-409
- Springer
Relational Expressivity Coverage: Comparing Risk-Sensitive Criteria for SSP Problems

Igor Miyamura Agostinho, Valdinei Freire da Silva

410-425
- Springer
Reliable XAI Explanations in Sudden Cardiac Death Prediction for Chagas Cardiomyopathy

Vinícius P. Chagas, Luiz H. T. Viana, Mac M. da S. Carlos, João P. V. Madeiro, Roberto C. Pedrosa, Thiago A. Rocha, Carlos H. L. Cavalcante

426-439
- Springer
Retinal Lesion Detection and Segmentation Using a Region of Interest-Based Approach with YOLO11

Marcelo Dias, Carlos Santos, Alejandro Pereira, Marilton Aguiar, Daniel Welfer

440-454
- Springer
RS4: Restricted Search Space for Snippet Selection

Guilherme Fernandes, Lucas Peres Gaspar, Lívia Almada Cruz, Régis Pires Magalhães, José Antonio Macedo

455-469
- Springer
Semantic Analysis of Synthetic EULA Contracts, with Natural Language Processing Techniques for LGPD Compliance Assessment

João Freire Abramowicz, Heuryk Wylk Éboli, Cleyton Rodrigues

470-485
- Springer
Slice and Explain: Logic-Based Explanations for Neural Networks Through Domain Slicing

Luiz Fernando Paulino Queiroz, Carlos Henrique Leitão Cavalcante, Thiago Alves Rocha

486-500
- Springer
Style-Specific Diffusion for Architectural Classification: Enhancing Performance Through Class-Adapted LoRA Augmentation

Gustavo Henrique Maia Dias, Thaís Gaudencio do Rêgo, Yuri de Almeida Malheiros Barbosa

501-515
- Springer
Synthetic EEG Generation Using Diffusion Model for Motor Imagery Task

Henrique de Lima Alexandre, Clodoaldo Aparecido de Moraes Lima

516-530
- Springer
Textual Prompt-Guided Segmentation of Hemorrhagic Stroke in Computed Tomography Images

João Carlos Nepomuceno Fernandes, Debora Sales Costa, Carlos Henrique Oliveira de Almeida, Vitor Bispo Braúna, Francisco Hércules dos Santos Silva, Houbing Hebert Song, Pedro Pedrosa Rebouças Filho

531-546
- Springer
The Impact of Prosodic Segmentation on Speech Synthesis of Spontaneous Speech

Julio Galdino, Sidney Leal, Leticia de Souza, Rodrigo Lima, Antonio Moreira, Arnaldo Candido Jr., Miguel Oliveira Jr., Edresson Casanova, Sandra Aluísio

547-561
- Springer
Training and Test Machine Learning Models on Encrypted Data: Initial Results and Challenges

Rodrigo Kruger, Jean Paul Barddal, Vinicius M. A. Souza

562-577
- Springer
TRIDENT: Tabular Representation Inference with Dedicated Embeddings for Null Tokens

Pedro B. Rigueira, Victoria F. Mello, Guilherme H. G. Evangelista, Caio S. Grossi, Giovana A. M. Machado, Pedro Dutenhefner, Wagner Meira Jr., Gisele L. Pappa

578-592
- Springer
U-Net-EL: A U-Net and Early Learning-Based Method for Histopathological Breast Image Segmentation

Paulo V. S. dos Santos, Patrick R. S. dos Santos, João O. B. Diniz, Antonio O. de Carvalho Filho

593-606
- Springer
Variable Importance and Interaction in Differential Evolution: Online Learning and a New Recombination Operator

Renato Tinós, Francisco Chicano, Michal W. Przewozniczek

607-622
- Springer

Applications Track - Social Good

A Fully Automatic Approach for COVID-19 Diagnosis in CT Imaging: Integrating Lung Segmentation, Fine-Tuning and Grad-CAM Visualization

Matheus A. dos Santos, Iágson Carlos L. Silva, Lucas de O. Santos, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho, Houbing H. Song

3-18
- Springer
A Multi-Dimensional Comparative Study of Generative Adversarial Networks, Diffusion Models, and Statistical Methods for Synthetic Health Data Generation

Oluwatoyin Joy Omole, Celso França, Samuel N. Alves, Regina Bernal, Deborah Malta, Marcos André Gonçalves, Jussara M. Almeida

19-34
- Springer
A Novel Interpretable Approach to Deep Multimodal Data Fusion Applied to Cancer Diagnosis

Leandro M. de Lima, Matheus B. Rocha, Renato A. Krohling

35-49
- Springer
Anomaly Detection in Spatiotemporal Patterns: A Case Study of Brazilian Traffic Accidents During the COVID-19 Lockdown

Gabriel César Silveira, Ricardo Jose Pfitscher, Benjamin Grando Moreira, Diogo Nardelli Siebert

50-64
- Springer
Assessing DeepSeek-R1’s Performance on Brazil’s Defining National Education Benchmark

Alexandre Thurow Bender, Gabriel Almeida Gomes, Ulisses Brisolara Corrêa, Ricardo Matsumura Araujo

65-77
- Springer
Assessing Demographic Bias and Fairness in Facial Recognition Systems: A Framework

Darian S. R. Rabanni, Italo A. D. Oliveira, Miguel D. S. Wanderley, Cinthya O. Silva, Renato A. Almeida, João R. Alvim, Katia M. Poloni, Gustavo C. Bicalho, Lucas F. A. O. Pellicer

78-93
- Springer
Better Call Lucas: A Conversational Assistant for Older Adult Support

Luan Matheus Trindade Dalmazo, Luize Duarte, Vitor Last Pintarelli, Eduardo Todt

94-108
- Springer
Comparative Analysis of Deep Convolutional Models for the Classification of Canine Dermatological Conditions

Eduardo Macedo Felix Tavares, Roney Nogueira de Sousa, Carlos Henrique Leitão Cavalcante

109-123
- Springer
DWNNet-Therm: A Deep Wavelet Neural Network Architecture Dedicated to Multiclass Classification in Breast Thermography

Heuryk Wylk Éboli, João Freire Abramowicz, Maíra Araújo de Santana, Wellington Pinheiro dos Santos

124-138
- Springer
DR-AIVis: A Hybrid Approach for Diabetic Retinopathy Detection Using U-Net Segmentation and CNN Classification with Grad-CAM Explainability

Marcelo Colares da Silva, Caio Marques Silva, Suane Pires P. da Silva, Roger M. Sarmento, Houbing Hebert Song, Pedro Pedrosa Rebouças Filho

139-154
- Springer
Emotionally and Cognitively Aware Proactive Conversational LLM-Assistants for Healthcare

Elioenai Alves, Jorge Araujo, Elizabeth Sucupira Furtado, Rafael Bonfim, Vasco Furtado

155-169
- Springer
Evaluating Graph-Based Representations of ATR-FTIR Data Using Complex Networks

Barbara Cristina Gama, Robinson Sabino-Silva, Douglas Carvalho Caixeta, Thulio Marquez Cunha, Murillo Guimarães Carneiro

170-185
- Springer
Evaluating Odor Selectivity in α-Synucleinopathy: ML-Based Odor Profiling

Christian Mattjie, Rafaela Ravazio, Eleanor Mitchell, Jonathan Bestwick, Lucas Silveira Kupssinskü, Alastair Noyce, Artur Schumacher Schuh, Rodrigo C. Barros

186-198
- Springer
Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning

Vítor N. Lourenço, Aline Paes, Tillman Weyde

199-214
- Springer
Exploring Data-Oriented Strategies for Training ECG Self-supervised Models

Rafael da Costa Silva, Adilson Medronha, Diego Furtado Silva

215-229
- Springer
Highway to... Determining Fatal Outcomes in Traffic Accidents Based on Police Reports

Arthur M. P. Gabardo, Guilherme A. A. Schünemann, Pablo A. Jaskowiak, Benjamin G. Moreira, Ricardo J. Pfitscher

230-244
- Springer
Improving Legislative Accessibility with Retrieval-Augmented Generation

Saint-Clair da Cunha Lima, Daniel Araújo

245-259
- Springer
Integrating Explainable AI with Species Distribution Models to Assess Anthropogenic Impacts on Amazonian Birds

Renato Okabayashi Miyaji, Felipe Valencia de Almeida, Pedro Luiz Pizzigatti Corrêa

260-274
- Springer
Isolated Sign Language Recognition in LIBRAS

Marcelo M. Delucis, Otávio Parraga, Rodrigo C. Barros, Lucas S. Kupssinskü

275-290
- Springer
Mapping the Landscape of Robotics for Autism Spectrum Disorder: A Scoping Review of Technologies, Applications, and Future Directions

Luiziane Paulino dos Santos, Raul Benites Paradeda

291-305
- Springer
Optimizing Model Merging Configurations for Brazilian Portuguese Sentiment and Hate Speech Classification with TIES-Merging and SaDE

Viviane Galvão, Heder Bernardino

306-320
- Springer
Perception of Guardians on the Use of Artificial Intelligence in Educational Geometry Games for Children

Leonardo Estevam, Vitor Melo, João Carvalho, Barbara da Silva, Walter Oliveira Júnior, Marcelle Mota, Diego Lisboa, Marcos Seruffo

321-334
- Springer
Predicting and Interpreting Clinical Deterioration in the Intensive Care Unit Using Machine Learning and Explainable AI

Vanderleicio Carvalho Leite Junior, Matheus Giovanni Pires, Fabiana Cristina Bertoni

335-347
- Springer
Predicting College Student Mental Health Levels: A Machine Learning Approach Using Sociodemographic and Quality of Life Data

Lucas J. L. Braz, Lucas S. Fonseca, C. Alexandre R. Fernandes

348-362
- Springer
Pseudo-labeling for Multi-label Legal Text Classification

Lucas Freitas, Thais Rodrigues, Guilherme Rodrigues, Pamella Edokawa, Ariane Farias

363-377
- Springer
Swin Transformer for Classification of Whole-Body PET Cancer Images

Celso Luiz Silva Soares Filho, Anselmo Cardoso de Paiva, Darlan Bruno Pontes Quintanilha, Ramsey D. Badawi, Vivek Swarnakar, Cláudio de Souza Baptista, Mateus Queiroz Cunha

378-392
- Springer
Synthetic Data for Mental Health: A Comparative Analysis of LLMs, BERT, and Copy-Based Augmentation

Matheus Yasuo Ribeiro Utino, Elton H. Matsushima, Aline Paes, Paulo Mann

393-408
- Springer

Applications Track - General

A Comparative Study of Machine Learning Models for Bee Flora Classification: Integrating Feature Extractors with Classifiers

Leticia Torres Pereira, Daniel Santos da Silva, Saulo Oliveira, Renato William Rodrigues de Souza, Wellington Franco, Jose Maria Silva Monteiro Filho

3-17
- Springer
A Double Transfer Learning Approach for Improving Canine Breast Cancer Detection Using VGG-16 on Histopathological Images

Vinicius Barbosa da Silva, Omar Andres Carmona Cortes, João Otávio Bandeira Diniz

18-31
- Springer
A Livestock Monitoring System and Machine Learning Sequence Classification Comparison for Behavior Classification

Luiz Ricardo da Silveira, João Roberto Bertini Junior

32-46
- Springer
A Semantic Representation for the MIMIC-IV Database

Emilly Cristine Zoldan dos Santos, Felipe Santana da Silva

47-59
- Springer
A Stacked Deep Learning-Based Method for Multiclass Classification of Sandstones in Microtomographic Images

Antônio Pedro V. Lima, S. Italo Francyles, Alan C. Araújo, Aristófanes C. Silva, Anselmo C. Paiva, Deane M. Roehl

60-73
- Springer
ADR Based on Fuzzy Logic with Dynamic Number of Uplink Transmissions Adjustment for LoRaWAN Networks in Mobility Scenarios

Fernando Jorge Vieira Santos, Geraldo A. Sarmento Neto, Thiago Allisson R. da Silva, Pedro F. F. de Abreu, Luis H. de O. Mendes, José V. dos Reis Junior

74-88
- Springer
Explainable Artificial Intelligence for Behavioral Simulation: SHAP-Based Analysis of Decision-Making in Virtual Rats

Thálita Guimarães Freire, Renato Tinós, Ariadne Andrade Costa

89-103
- Springer
Are Current Computer Vision Models for Handgun Detection Ready to Be Deployed in Camera Surveillance Systems?

Jorge Batista, Tatiane Rios, Cassio Prazeres, Rubisley Lemes, Maycon Peixoto, Gustavo Figueiredo, Frederico Durão, Eduardo Santana de Almeida, Ivan Machado, Hérsio Iwamoto, Ricardo Rios

104-119
- Springer
Assessing an Evolutionary Search Engine for Small Language Models, Prompts, and Evaluation Metrics

Cláudio Lúcio do Val Lopes, Lucca Machado da Silva

120-134
- Springer
ASV-CM Score Fusion for Robust Speaker Verification in Spoofed Scenarios

Lucas A. R. Carvalho, Laiza P. Lima, Guilherme Rinaldo, Cinthya O. Silva, Victor C. Beraldo

135-150
- Springer
AutoFAR: An Intelligent Hybrid System for Boosting Autoformer Forecasts

Filipe C. de L. Duarte, Ruam E. R. C. Pastor, Luís G. B. Amaral, Paulo S. G. de Mattos Neto, Jair P. de Sales

151-166
- Springer
Beyond Profit: An Analysis of Risk and Return Metrics in Automated Trading Systems

José J. R. Cordeiro, Arlino H. M. de Araújo, Guilherme A. Avelino

167-183
- Springer
Coma Etiology Prediction Using a CNN-LSTM Model Guided by EEG Brain Regions

João Ludovico Maximiano Barbosa, Murillo Guimarães Carneiro, Sérgio Baldo-Júnior, Renato Tinós, Liang Zhao, João Batista Destro-Filho

184-198
- Springer
CRRF-Score - Cumulative Ranking Random Forest Scoring Function for Free Energy of Binding Prediction in Protein-Ligand Docking

Adriano Velasque Werhli, Patrícia Padula Lopes, Oscar E. Arrua, Andrej Aderhold, Karina dos Santos Machado

199-213
- Springer
Data-Driven Proxy Models Based on Recurrent Neural Network for Reservoir Simulators

Juan A. R. Tueros, Johnattan D. F. Viana, Victor B. Silva, Aluízio F. R. Araújo

214-228
- Springer
Deep Learning-Based Intrusion Detection for Automotive Ethernet: Evaluating and Optimizing Fast Inference Techniques for Deployment on Low-Cost Platform

Pedro R. X. do Carmo, Igor de Moura, Assis T. de Oliveira Filho, Djamel Sadok, Cleber Zanchettin

229-244
- Springer
Enhancing Situational Awareness in Public Safety with Frame-Accumulated Face Recognition and Distance-Based Evaluation

Pedro Lira, Karine Costa, Stefano Loss, Leonardo Lima, Daniel Araújo, Eduardo Nogueira, Aluizio Rocha Neto, Thais Batista, Nelio Cacho, Everton Cavalcante, Frederico Lopes

245-259
- Springer
Evaluating the Accuracy and Stability of Frontier LLMs on ENADE Computer Science Questions

Lucas de Moura Carvalho, Cleiton Moreira de Carvalho Junior, Nabor C. Mendonça

260-274
- Springer
Fraud Detection in Dental Auditing: A Methodology Based on Similar Image Analysis

Karoline de Moura Farias, Victor Emmanuel Vieira Soares, Pedro de Alcântara dos Santos Neto, Anselmo Cardoso de Paiva, Paloma Stephania Guilhermina Prado de Sá, Paula Chaves Lira Cavalcante Marinho, Matheus Barreto Cardoso, Lia de Castro Alencar Feijó, Roberto Edilson Meireles Passos Neto

275-290
- Springer
From Code to Field: Evaluating the Robustness of Convolutional Neural Networks for Disease Diagnosis in Mango Leaves

Gabriel Vitorino de Andrade, Saulo Roberto dos Santos, Itallo Patrick Castro Alves da Silva, Emanuel Adler Medeiros Pereira, Erick de Andrade Barboza

291-305
- Springer
Graph Condensation for Text Classification

René Vieira Santin, Diego Minatel, Nícolas Roque dos Santos, Solange Oliveira Rezende

306-320
- Springer
Hierarchical Modeling of Municipal Contextual Influences on Brazilian National High School Exam (ENEM) Performance: An AI Approach for Educational Policies

Felipe Gomes Paradas, Carla Amor Divino Moreira Delgado, Carolina Gil Marcelino

321-335
- Springer
Language Model Architectures for Behavioral Assessment: A Case Study on MAPER

Erik J. F. Nascimento, Jessyca A. Bessa, Maryane C. Lima, Igor R. S. Valente, Saulo M. Maia, Maria L. R. Correa

336-348
- Springer
Improving Automated Species Identification in Herbaria Using Contrastive Learning

Alisson da Silva Vieira, Diego Bertolini, Luiz S. Oliveira, André Luis Schwerz

349-363
- Springer
MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition

João Lucas Luz Lima Sarcinelli, Marina Lages Gonçalves Teixeira, Jade Bortot de Paiva, Diego Furtado Silva

364-378
- Springer
Metaheuristic-Based Optimization for Cascaded Hydropower Systems

Arnaldo M. P. Junior, Kleyton P. Cotta, Leonardo T. Vianna, Tassiana N. Benamor, Bruno J. M. Medeiros, Maria E. L. Luz, Matheus F. S. Pinheiro, Maurício S. Magalhães, Hugo R. V. Portuita, Tassio Simioni, Márcio L. Perin, Paulo R. S. Munari, Beatriz S. Pires

379-394
- Springer
Modeling and Analysis of Fragility in Primary Electrical Distribution Networks

Priscila Sant’Anna Motta, Diogo Slovinski Boff, Sandro José Rigo, Rodrigo Marques de Figueiredo

395-409
- Springer
On the Use of Pareto-Based Features in Meta-learning for Multi-objective Offshore Wind Farm Layout Optimization

Gustavo J. N. Silva, João G. L. S. G. Silva, Islame F. C. Fernandes

410-424
- Springer
Optimal Water Distribution Networks Monitoring Using Observability Theory and State Estimation

Bruno da Costa Porfírio, João Paulo de Souza Medeiros, Luiz Paulo de Assis Barbosa, João Batista Borges

425-440
- Springer
Parallelization Strategies for the Feature Space Partition Algorithm Applied to Fault Detection and Stability Analysis in Smart Grids

Saulo Andrade Almeida, Silvana Rossetto, Carolina Gil Marcelino

441-455
- Springer
Segmentation of Microtomography Images of Carbonate Rocks: A Comparison Between Ordinary Kriging and Universal Kriging

Maxwell Pires Silva, S. Italo Francyles, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Deane Roehl

456-469
- Springer
Segmentation-Augmented Flood Risk Classification for Nighttime River Monitoring

Arthur Rocha, João Perino, Vinícius Vanzin, Pedro Teodoro, Saulo Matos, Dilvan Moreira, Caetano Ranieri, Jó Ueyama

470-484
- Springer
Self-Supervised Few-Shot Pill Image Recognition

Luan Sousa Cordeiro, Saulo A. F. de Oliveira, Francisco Nivando Bezerra

485-499
- Springer
Towards Secure Retrieval-Augmented Generation: Preventing LLM Data Leaks with RBAC

Igor Martinelli, Moacir A. Ponti

500-515
- Springer
Towards Small Language Models for Text-to-SQL

Paulo H. C. Silva, Letícia O. Silva, Fabrício A. Silva

516-531
- Springer
Use of Neural Networks in Dynamic Difficulty Adjustment (DDA) in a Roguelike Game

Larissa Roque Carvalho, Luis Cuevas Rodriguez

532-543
- Springer
Using a Visual-LSTM Enhanced U-Net for Natural Gas Segmentation in Clustered Seismic Data

Gabriel de Jesus Santos Costa, Luis Fernando Marin Sepulveda, Alan de Carvalho Araujo, Victor Rogerio Sousa Ferreira, Mauricio Morais Almeida, Geraldo Braz Junior, Aristófanes Correa Silva, Deane Roehl Gattass, Carlos Rodriquez Suarez

544-558
- Springer
YACSDB-NER: Yet Another Cybersecurity Database for Named Entity Recognition Task

Yuri do Amaral Nobre Maia, Robson de Oliveira Albuquerque

559-574
- Springer

View All Issues