BRACIS-ST-PT – BRACIS 2025

BRACIS - Sessões Técnicas

BRACIS - ST1
29/09 - Segunda	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
08h00-09h00	Mineração de Dados Médicos	A Semantic Representation for the MIMIC-IV Database	Emilly Cristine Zoldan dos Santos, Filipe Santana da Silva
		GraphRAG on Electronic Health Record: A Knowledge Graph-Enhanced RAG Approach for Healthcare Information Access	João Vitor Baptista, Luís Paulo Faina Garcia
		Identifying asymptomatic nodes in network epidemics using graph neural networks	Conrado Catarcione Pinto, Amanda Camacho Novaes de Oliveira, Rodrigo Luna, Daniel Ratton Figueiredo
		Boosting OOD Detection in Biomedical Data with Siamese Neural Networks	Eduardo Honorato, Gabriel José Pellisser Dalalana

BRACIS - ST2
Set 29 - Segunda	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
08h00-09h00	Machine Learning Foundations and Evaluation	Neural Networks with Adaptive and Trainable Activation Functions Applied to solve Stochastic Differential Equations	Ingrid Felix, João Henrique de Medeiros Delgado, Tiago A. E. Ferreira
		A New Approach for Obtain Reduced Sets in Least Squares Support Vector Machine: Lenghten via Levenberg-Marquardt	Felipe Marinho, Wellington Dantas de Almeida, Victor Oliveira Santos, Ajalmar Rocha Neto
		A Note on Learning Algorithms as Approximations of Solomonoff Induction	Edward Hermann Haeusler, Cleyton Slaviero
		Mind the Gap: Investigating the Impact of Data Leakage on Machine Learning Predictive Models	Augusto Exenberger Becker, Mariana Recamonde-Mendoza

BRACIS - ST3
29/09 - Segunda	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
09h00-10h00	IA na Saúde e no Bem-estar
		Mapping the Landscape of Robotics for Autism Spectrum Disorder: A Scoping Review of Technologies, Applications, and Future Directions	Raul Paradeda, Luiziane Paulino dos Santos
		Better Call Lucas: A Conversational Assistant for Older Adult Support	Luan Matheus Trindade Dalmazo, Luize Cunha Duarte, Vitor Pintarelli, Eduardo Todt
		Emotionally and Cognitively Aware Proactive Conversational LLM-assistants for Healthcare	Elioenai Alves, Jorge Araujo, Elizabeth Sucupira Furtado, Rafael Bomfim, Vasco Furtado
		Predicting College Student Mental Health Levels: A Machine Learning Approach Using Sociodemographic and Quality of Life Data	Lucas José Lemos Braz, Lucas dos Santos Fonseca, C. Alexandre Rolim Fernandes

BRACIS - ST4
Set 29 - Segunda	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
09h00-10h00	Assessing and Leveraging Synthetic Data Generation
		Semantic Analysis of Synthetic EULA Contracts, with Natural Language Processing Techniques for LGPD Compliance Assessment	João Freire Abramowicz, Cleyton Mário de Oliveira Rodrigues, Heuryk Wylk Éboli da Silva
		Style-Specific Diffusion for Architectural Classification: Enhancing Performance through Class-Adapted LoRA Augmentation	Gustavo Dias, Thaís Gaudêncio do Rêgo, Yuri Malheiros
		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
		Pose-Based Fall Detection Across Views: Boosting Generalization with Synthetic Data and Data Augmentation	Eduardo Façanha Dutra, Arthur Cavalcante e Silva, Andréia Formico

BRACIS - ST5
29/09 - Segunda	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
13h30-14h00	Geração de Dados Sintéticos Biomédicos
		Synthetic Data for Mental Health: A Comparative Analysis of LLMs, BERT, and Copy-Based Augmentation	Matheus Yasuo Ribeiro Utino, Elton Matsushima, Aline Paes, Paulo Mann
		A Multi-Dimensional Comparative Study of GAN, Diffusion Model, and Statistical Method for Synthetic Health Data Generation	Oluwatoyin Joy Omole, Celso França, Samuel Alves, Marcos André Gonçalves, Jussara Almeida

BRACIS - ST6
Set 29 - Segunda	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
13h30-14h15	Learning from Gesture and Speech
		Isolated Sign Language Recognition in LIBRAS	Marcelo Mussi Delucis, Otávio Parraga, Rodrigo C. Barros, Lucas Silveira Kupssinskü
		The Impact of Prosodic Segmentation on Speech Synthesis of Spontaneous Speech	Julio Cesar Galdino, Sidney Evaldo Leal, Leticia Gabriella De Souza, Rodrigo de Freitas Lima, Antonio Nelson Fornari Mendes Moreira, Arnaldo Candido Junior, Miguel Oliveira Jr., Edresson Casanova, Sandra M. Aluísio
		ASV-CM Score Fusion for Robust Speaker Verification in Spoofed Scenarios	Lucas Ariel Rocha Carvalho, Laiza de Paula Lima, Guilherme Rinaldo, Cinthya Oestreich Silva, Victor Costa Beraldo

BRACIS - ST7
29/09 - Segunda	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
14h00-15h00	Análise de Biossinais
		Synthetic EEG Generation using Diffusion Models for Motor Imagery Tasks	Henrique Lima, Clodoaldo Aparecido Moraes Lima
		Coma Etiology Prediction Using a CNN-LSTM Model Guided by EEG Brain Regions
		Exploring Data-Oriented Strategies for Training ECG Self-Supervised Models	Rafael da Costa Silva, Adilson Medronha, Diego Furtado Silva
		Evaluation of Explainable Artificial Intelligence Methods for Deep Time Series Classification of Biosignals	Diego Sá, César Lincoln Cavalcante Mattos, Regis P. Magalhães

BRACIS - ST8
Set 29 - Segunda	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
14h15-15h00	Meta-Learning and AutoML
		Classification with reject option: building meta-models to predict classification error	Patricia Ueda, Maria Gabriela Valeriano, Arthur Mangussi, Ricardo B. C. Prudêncio, Ana Carolina Lorena
		OnlineSIRUOS: An Inverse Random Under and Oversampling, Heterogeneous Ensemble, and Meta-Learning Approach for Imbalanced Data Stream Classification	Vinicios Cainã dos Santos Coelho, Alceu Britto Jr, Jean Paul Barddal
		A Comprehensive Study of Fitness Landscapes in AutoML: The Impact of Dataset Complexity and Search Space Neutrality	Thiago França, Ricardo B. C. Prudêncio, Péricles Miranda

BRACIS - ST9
29/09 - Segunda	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
15h00-16h00	Diagnóstico Auxiliado por Computador
		Textual Prompt-Guided Segmentation of Hemorrhagic Stroke in Computed Tomography Images	João Carlos Nepomuceno Fernandes, Débora Sales Costa, Carlos Henrique Oliveira de Almeida, Vitor Bispo Braúna, Francisco Hércules dos Santos Silva, Houbing Hebert Song, Pedro Pedrosa Rebouças Filho
		Improving Medical Image Segmentation with Semantic Mask-Guided Diffusion Models	Marcelo Ribeiro, Marilton Sanchotene de Aguiar
		A Fully Automatic Approach for COVID-19 Diagnosis in CT Imaging: Integrating Lung Segmentation, Fine-Tuning and Grad-CAM Visualization	Matheus Santos, Iágson Silva, Lucas Santos, Elizângela Rebouças, Pedro Pedrosa Rebouças Filho, Houbing Hebert Song
		Development of a Deep Wavelet Neural Network-Based Intelligent System for Multiclass Breast Thermogram Classification	Heuryk Wylk Éboli da Silva, Wellington Pinheiro dos Santos, João Freire Abramowicz joaoabramowicz, Maíra Araújo de Santana

BRACIS - ST10
Set 29 - Segunda	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
15h00-16h00	Evolutionary Computation and Metaheuristics
		Variable Importance and Interaction in Differential Evolution: Online Learning and a New Recombination Operator	Renato Tinos, Francisco Chicano, Michal Przewozniczek
		Maximum Dispersion, Maximum Concentration: Enhancing the Quality of MOP Solutions	Gladston Moreira, Ivan Meneghini, Elizabeth Wanner
		On the use of Pareto-based Features in Meta-Learning for Multi-Objective Offshore Wind Farm Layout Optimization	Gustavo Silva, João Silva, Islame Felipe Fernandes
		Metaheuristic-Based Optimization for Cascaded Hydropower Systems	Arnaldo Mendes Pires Junior, Kleyton Cotta, Leonardo Vianna, Tassiana Nunes Benamor, Bruno Medeiros, Maria Luz, Matheus Felipe da Silva Pinheiro, Mauricio Magalhães, Hugo Reiser Vieira Portuita, Tássio Simioni, Márcio Lunardi Perin, Paulo Ricardo Santos Munari, Beatriz Sepulveda Pires

BRACIS - ST11
29/09 - Segunda	Sala 1	Chair: (TBD)
Horário	Tópicos	Título do Artigo	Autores
18h00-19h00	Visão Computacional para Imagens Relacionadas ao Câncer
		A novel interpretable approach to deep multimodal data fusion applied to cancer diagnosis	Leandro Lima, Matheus Rocha, Renato Krohling
		Deep Learning for Helicobacter pylori Classification: A Comparative Approach Using Transfer Learning and Data Augmentation	François Fernandes Ribeiro Barbosa, Rodrigo Borges, Ivan S. Silva, Rodrigo de Melo Souza Veras, Patrick Santos, Antonio Oseas de Carvalho Filho
		Swin Transformer for Classification of Whole-Body PET Cancer Images	François Fernandes Ribeiro Barbosa, Rodrigo Borges, Ivan S. Silva, Rodrigo de Melo Souza Veras, Patrick Santos, Antonio Oseas de Carvalho Filho
		U-Net-EL: A U-Net and Early Learning-Based Method for Histopathological Breast Image Segmentation	Paulo Victor, Patrick Santos, Joao Otavio Bandeira Diniz, Antonio Oseas

BRACIS - ST12
Set 29 - Segunda	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
18h00-18h30	Quantum Learning
		Enhanced Quantum-Inspired Neural Architecture Search with Adaptive Pre-trained Backbone Integration	Diego Páez, Thiago Carvalho, Santiago Vasquez, Fabio Cardoso, Karla Tereza Figueiredo Leite, Marley M. B. R. Vellasco
		Mitigating high dimensionality and few training data with a quantum kernel learning approach	Mauro Queiroz Nooblath Neto, João Alfredo Holanda Bessa Neto, Rosiane de Freitas Rodrigues

BRACIS - ST13
Set 29 - Segunda	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
18h30-19h00	Fuzzy Systems
		New generalizations of the Choquet integral by restricted dissimilarity functions	Giancarlo Lucca, Tiago Asmus, Gracaliz P. Dimuro, Helida Santos, Renata Reiser, Adenauer Yamin, Heloisa Arruda Camargo, Cedric Marco-Detchard, Humberto Bustince
		Evaluating the Power Measure with Choquet-Based Generalizations in Fuzzy Rule-Based Classification Systems	Giancarlo Lucca, Tiago Asmus, Gracaliz P. Dimuro, Bruno L. Dalmazo, Rafael Berri, Renata Reiser, Adenauer Yamin, Cedric Marco-Detchard, Humberto Bustince

BRACIS - ST14
Set 30 - Terça	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
08h00-10h00	Best Papers	Estimating Variable Importance and Interaction in Machine Learning via Genetic Algorithms	David Gabriel Guimarães, Sabrina Sousa Carvalho, Renato Higor Nascimento, Renato Tinós
		Hardness Sampling: Exploring Instance Hardness in Pool-based Active Learning	Gabriel da Silva Corvino Nogueira, Davi Pereira dos Santos, Luís Paulo Faina Garcia, André Ponce de Leon F de Carvalho
		Data complexity and instance hardness measures in transferability evaluation	Derick Welman Brock Rangel, Alfredo Exposito De Queiroz, Ana Carolina Lorena
		Interpolation of Multivariate Time Series with Nearly-Symmetric Time Translations	Bernardo Teixeira, Marcel Rodrigues de Barros, Edson Gomi, Eduardo Aoun Tannuri, Fábio Levy Siqueira, Anna Helena Reali Costa
		Probabilities of Causation and Root Cause Analysis with Quasi-Markovian Models	Eduardo Laurentino, Fábio Gagliardi Cozman, Denis D. Mauá, Daniel Lawand, Davi Coelho, Lucas Martins Marques
		Ontology-Enriched BERT for Financial Market State Prediction	Igor Felipe Carboni Battazza, Cleyton Mário de Oliveira Rodrigues, João Fausto Lorenzato de Oliveira

BRACIS - ST15
Set 30 - Terça	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
13h30-14h00	Efficient Computer Vision	Cost-Efficient Visual Perception for Autonomous Vehicles: Leveraging Attention-Based Sensor Fusion to Maintain Performance	Eduardo Honorato, Vanderlei Bonato, Denis Fernando Wolf
		Proposing an Efficient CNN-based Architecture for Image Processing	Verner Rafael Ferreira, Anne Magaly de Paula Canuto

BRACIS - ST16
Set 30 - Terça	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
13h30-14h00	Electrical Distribution	Modeling and Analysis of Fragility in Primary Electrical Distribution Networks	Priscila Motta, Diogo Boff, Sandro J. Rigo, Rodrigo M. Figueiredo
		Parallelization Strategies for the Feature Space Partition Algorithm Applied to Fault Detection and Stability Analysis in Smart Grids	Saulo Andrade, Silvana Rossetto, Carolina Marcelino

BRACIS - ST17
Set 30 - Terça	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
14h00-14h30	Computer Vision for Veterinary Medicine
		Comparative Analysis of Deep Convolutional Models for the Classification of Canine Dermatological Conditions	Eduardo Tavares, Roney Nogueira de Sousa, Carlos Henrique Leitão Cavalcante
		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, Joao Otavio Bandeira Diniz, Daniel Lima Gomes Jr.

BRACIS - ST18
Set 30 - Terça	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
14h00-14h30	Machine Learning Techniques
		Inference Time Debiasing Concepts in Diffusion Models	Lucas Silveira Kupssinskü, Marco Nemetz Bochernitsan, Jordan Kopper, Otávio Parraga, Rodrigo C. Barros
		Face-Obfuscated Deepfake Detection by Learning Spatial and High-Frequency Generative Artifacts	João Alvim, Miguel D. S. Wanderley, Italo Oliveira, Itallo Dias, Matheus Gamba, Katia Poloni, Eduardo Bovo
		Extending the Minimal Learning Machine for Classification and Regression on Interval-Valued Data	Diêgo Farias Oliveira, César Lincoln Cavalcante Mattos, João Paulo Pordeus
		Analysis of Decision-Making in Virtual Rats Using SHAP Values	Thálita Guimarães Freire, Renato Tinós, Ariadne de Andrade Costa

BRACIS - ST19
Set 30 - Terça	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
14h30-15h15	Computer Vision for Ophthalmology
		Retinal Lesion Detection and Segmentation Using a Region of Interest-Based Approach with YOLO11	Marcelo Dias, Carlos Alexandre Silva dos Santos, Alejandro Pereira, Marilton Sanchotene de Aguiar, Daniel Welfer
		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 Pinheiro da Silva, Róger Sarmento, Houbing Hebert Song, Pedro Pedrosa Rebouças Filho
		EffAttNet: Improving Early Glaucoma Detection with EfficientNet-B3 and Attention Modules	Eduardo Augusto Marras de Souza, Daniela Hayashi, Alexandre Brandão, Helio Pedrini, Ademar Takeo Akabane

BRACIS - ST20
Set 30 - Terça	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
15h00-16h00	Reinforcement and Federated Learning
		Dead End Discovery and Secure Exploration via Large Language Models	Christian Jorge Delgado Polar, Valdinei Freire, Leliane Nunes de Barros, Karina Valdivia-Delgado
		Relational Expressivity Coverage: Comparing Risk-Sensitive Criteria for SSP Problems	Igor Agostinho, Valdinei Freire
		A Multidimensional Analysis of the Swarm Dynamics in a Reinforcement Learning-based Metaheuristic	Rodrigo Cesar Lira da Silva, Mariana Macedo, Hugo Valadares Siqueira, Carmelo Bastos-Filho
		Performance Analysis of Quantization in Federated Split Learning	Claro Sales, Francisco H. Carvalho-Junior, Allberson Dantas

BRACIS - ST21
Set 30 - Terça	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
15h15-16h00	Biomedical Applications
		CRRF-Score Cumulative Ranking Random Forest Scoring Function for Free Energy of Binding Prediction in Protein-Ligand Docking	Adriano V. Werhli, Patrícia Padula Lopes, Oscar Arrúa, Andrej Aderhold, Karina S. Machado
		Evaluating Odour Selectivity in α‑Synucleinopathy: ML‑Based Odour Profiling	Christian Mattjie, Rafaela Ravazio, Eleanor Mitchell, Jonathan Bestwick, Lucas Silveira Kupssinskü, Alastair Noyce, Artur Schumacher Schuh, Rodrigo C. Barros
		Evaluating Graph-Based Representations of ATR-FTIR Data Using Complex Networks	Barbara Cristina Gama, Robinson Sabino Silva, Douglas Carvalho Caixeta, Thulio Marquez Cunha, Murillo G. Carneiro

BRACIS - ST22
Out 01 - Quarta	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
08h00-09h00	Educational Applications	Perception of Guardians on the Use of Artificial Intelligence in Educational Geometry Games for Children	Leonardo Estevam, Vitor Melo, João Francisco Moreira de Carvalho, Bárbara Chagas da Silva, Walter Oliveira Jr, Marcelle Pereira Mota, Diego Cardoso, Marcos César da Rocha Seruffo
		Hierarchical Modeling of Municipal Contextual Influences on Brazilian National High School Exam (ENEM) Performance	Felipe Paradas, Carla Amor Divino Moreira Delgado, Carolina Marcelino
		Assessing DeepSeek-R1's Performance on Brazil's Defining National Education Benchmark	Alexandre Thurow Bender, Gabriel Almeida Gomes, Ulisses Brisolara Corrêa, Ricardo Matsumura Araújo
		Evaluating the Accuracy and Stability of Frontier LLMs on ENADE Computer Science Questions	Lucas de Moura Carvalho, Cleiton Moreira de Carvalho Junior, Nabor Mendonça

BRACIS - ST23
Out 01 - Quarta	Sala 2	Chair: (TBD)
Horário	Tópico	Título	Autores
08h00-09h00	Machine Learning for Natural Language Processing	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
		Optimizing Model Merging Configurations for Brazilian Portuguese Sentiment and Hate Speech Classification with TIES-Merging and SaDE	Viviane Galvão, Heder Bernardino
		TRIDENT: Tabular Representation Inference with Dedicated Embeddings for Null Tokens	Pedro Rigueira, Victoria Andrade Flores de Mello, Guilherme Evangelista, Caio Grossi, Giovana Assis da Matta Machado, Pedro Robles Dutenhefner, Wagner Meira Jr., Gisele Pappa
		APVAT: Attention Perturbation in Virtual Adversarial Training for Semi-Supervised Learning	José Marcio Duarte, Evangelos Milios, Lilian Berton

BRACIS - ST24
Out 01 - Quarta	Sala 3	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
08h00-09h00	Multidisciplinary Applications
		Use of Neural Networks with Dynamic Difficulty Adjustment (DDA) in a Roguelike Game	Larissa Carvalho, Luis Cuevas Rodríguez
		Highway to... Determining Fatal Outcomes in Traffic Accidents Based on Police Reports	Arthur Miguel Pereira Gabardo, Guilherme Arthur Allebrandt Schünemann, Pablo Andretta Jaskowiak, Benjamin Grando Moreira, Ricardo Jose Pfitscher
		Anomaly Detection in Spatiotemporal Patterns: A Case Study of Brazilian Traffic Accidents During the COVID-19 Lockdown	Gabriel Cesar Silveira, Benjamin Grando Moreira, Diogo Nardelli Siebert, Ricardo Jose Pfitscher
		Hotel Intelligence: Maximizing Revenue with Nonlinear Dynamic Pricing and Predictive Demand Analysis	Filipe Dwan Pereira, George Zambonin, Francisco Bráulio Silva de Oliveira, Christiano Penna, Gabriel Vasconcelos, Gabriel Barbosa, João Paulo Freitas, Pedro Dreyer, Ricardo Fernandes, Rafael Ferreira Mello

BRACIS - ST25
Out 01 - Quarta	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
09h00-10h00	NLP Applications
		Hybrid Language Model Architectures for Behavioral Assessment: A Case Study on MAPER	Erik Jhones Freitas do Nascimento, Jéssyca Almeida Bessa, Mariane Castro Lima, Igor Rafael Silva Valente, Saulo M. Maia, Maria L. R. Correa
		AI Agents Powered by Open-Source Language Models for Causal Understanding in Portuguese	Uriel Lasheras, Elioenai Alves, Diego Silva, Caio Ponte, Carlos Caminha, Vládia Pinheiro
		Pre-trained Code Language Models for Just-in-time Software Defect Prediction: An Empirical Study	Monique L. B. Monteiro, George Cabral, Adriano Lorena Inácio de Oliveira
		Improving Legislative Accessibility with Retrieval-Augmented Generation	Saint-Clair da Cunha Lima, Daniel Sabino Amorim de Araújo

BRACIS - ST26
Out 01 - Quarta	Sala 2	Chair: (TBD)
Horário	Tópico	Título	Autores
09h00-10h00	Machine Learning for Plants
		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
		Improving Automated Species Identification in Herbaria using Contrastive Learning	Alisson da Silva Vieira, Alisson da Silva Vieira, Diego Bertolini, Luiz Eduardo Soares de Oliveira, André Luis Schwerz
		From Code to Field: Evaluating the Robustness of Convolutional Neural Networks for Disease Diagnosis in Mango Leaves	Gabriel Andrade, Saulo Santos, Itallo Patrick, Emanuel Pereira, Erick Barboza

BRACIS - ST27
Out 01 - Quarta	Sala 3	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
09h00-10h00	Financial Applications
		On the combination of machine learning techniques with simulated annealing to identify professional accounts in Ethereum	Júlia Valadares, Saulo Moraes Villela, Alex Borges Vieira, Heder Bernardino
		Beyond Profit: An Analysis of Risk and Return Metrics in Automated Trading Systems	José Jeovane Reges Cordeiro, Arlino Henrique Magalhães, Guilherme Avelino
		Agentic AI Meets Fundamentalist Financial Analysis: Limits and Possibilities	João Nepomuceno Freitas de Azevedo, Eduardo Rottschaefer Oliveira, Gabriel Assis, Thiago Ferreira, Aline Paes
		A NAS-Optimized Deep Learning Model for Customer Churn Prediction in Financial Services	Marcus Almeida, Ivair Silva, Vander L. S. Freitas, Eduardo Jose da Silva Luz, Gladston Moreira

BRACIS - ST28
Out 01 - Quarta	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
13h30-14h00	Named Entity Recognition Corpora
		YACSDB-NER: Yet Another Cybersecurity Database for Named Entity Recognition Task	Yuri do Amaral Nobre Maia, Robson Albuquerque, Demetrio Antônio da Silva Filho
		MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition	João Luz, Marina Lages Gonçalves Teixeira, Jade Bortot de Paiva, Diego Furtado Silva

BRACIS - ST29
Out 01 - Quarta	Sala 2	Chair: (TBD)
Horário	Tópico	Título	Autores
13h30-14h00	Micro-CT Rock Analysis
		A Stacked Deep Learning-Based Method for Multiclass Classification of Sandstones in Microtomographic Images	Antônio Lima, Italo F. S. Silva, Alan Araújo, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Deane Roehl
		Segmentation of Microtomography Images of Carbonate Rocks: A Comparison Between Ordinary Kriging and Universal Kriging	Maxwell Pires, Italo Francyles Santos Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva

BRACIS - ST30
Out 01 - Qarta	Sala 3	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
13h30-14h30	Forecasting
		Increasing Time Series Forecasting Performance with Dynamic System Copula-Based Ensemble Models	Ademir Batista dos Santos Neto, Paulo Renato A. Firmino, Tiago A. E. Ferreira
		Enhanced Forecasting Model using Transformers, Extended Long-short-term Memory, and Randomized Fuzzy Cognitive Maps	Omid Orang, Petrônio C. L. Silva, Frederico Guimaraes
		AutoFAR: An Intelligent Hybrid System for boosting Autoformer forecasts	Filipe Duarte, Ruam Pastor, Luis Amaral, Jair Paulino de Sales, Paulo Salgado Gomes de Mattos Neto
		Optimal Water Distribution Networks Monitoring Using Observability Theory and State Estimation	Bruno da Costa Porfírio, João Paulo Souza Medeiros, Luiz Paulo Barbosa, João Borges

BRACIS - ST31
Out 01 - Quarta	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
14h00-15h00	Low-Resource and Small Language Models
		Low-Resource Named Entity Recognition using Information Retrieval and In-Context Learning	Enzo Shiraishi, Raphael Y. Camargo, Henrique Luiz Pereira da Silva, Ronaldo C. Prati
		Assessing an evolutionary search engine for small language models, prompts, and evaluation metrics	Claudio Lucio Lopes, Lucca Machado
		Towards Small Language Models for Text-to-SQL	Paulo Silva, Letícia Silva, Fabrício Aguiar Silva
		Reducing Dependence on Labeled Data: A Self-Supervised Fine-Tuning Approach for Low-Resource Language Models	Gian Franco Joel Condori Luna, Didier Vega, Marcelo Reis

BRACIS - ST32
Out 01 - Quarta	Sala 2	Chair: (TBD)
Horário	Tópico	Título	Autores
14h0-15h00	Computer Vision Applications
		Using a Visual-LSTM Enhanced U-Net for Natural Gas Segmentation in Clustered Seismic Data	Gabriel Costa, Luis Fernando Marin, Mauricio Morais Almeida, Alan Araújo, Victor Ferreira, Geraldo Braz Junior, Aristófanes Corrêa Silva
		Fraud Detection in Dental Auditing: A Methodology Based on Similar Image Analysis	Karoline de Moura Farias, Victor Emmanuel Vieira Soares, Pedro de A. dos Santos Neto, Anselmo Cardoso de Paiva, Paloma Paloma Stephania Guilhermina Prado de Sá, Paula Chaves Lira Cavalcante Marinho, Matheus Barreto Cardoso, Lia de Castro Alencar Feijó, Roberto Edilson Meireles Passos Neto
		Self-supervised few-shot pill image recognition	Luan Sousa Cordeiro, Saulo Oliveira, Nivando Bezerra
		A livestock monitoring system and machine learning sequence classification comparison for behavior classification	Luiz Ricardo da Silveira, João Bertini

BRACIS - S33
Out 01 - Quarta	Sala 3	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
14h30-15h30	Time Series
		Deep Neural Networks Techniques with Ensemble-Based Methods Applied to Data-driven Proxy Reservoir Simulator	Diogo Medeiros de Almeida, Juan Alberto Rojas Tueros, Bernardo Horowitz
		Data-Driven Proxy Models Based on Recurrent Neural Network for Reservoir Simulators	Juan Alberto Rojas Tueros, Johnattan Douglas Ferreira Viana, Victor Borges da Silva, Aluizio Fausto Ribeiro Araújo
		RS4: Restricted Search Space for Snippet Selection	Guilherme Fernandes, Lucas Peres Gaspar, Lívia Almada Cruz , Regis Pires Magalhães, Jose Antonio Macêdo
		A Categorical Kalman Filter for Human Activity Recognition	Diego Silva de França, Anselmo Pitombeira Neto, Lívia Almada Cruz , Jose Antonio Macêdo

BRACIS - ST34
Out 01 - Quarta	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
15h00-16h00	Legal Applications of NLP
		Pseudo-Labeling for Multi-Label Legal Text Classification	Lucas Freitas, Thais Rodrigues, Guilherme Rodrigues, Pamella Edokawa, Ariane Hayana Thomé de Farias
		Generative SLMs Meet Brazilian Legal Documents: Efficient NER via LoRA Fine-tuning	Matheus Oliveira, Pedro Borges Pio, Luís Paulo Faina Garcia
		BR-TaxQA-R: A Dataset for Question Answering with References for Brazilian Personal Income Tax Law, including case law	Juvenal Domingos Júnior, Augusto Lourenço de Faria, Eduardo Seiti de Oliveira, Erick Brito, Matheus Rennan Freire Veras Teotonio, Andre Assumpção, Diedre Santos do Carmo, Roberto Lotufo, Jayr Alencar Pereira
		Juru: Legal Brazilian Large Language Model from Reputable Sources	Roseval Malaquias Junior, Ramon Pires, Roseli Ap. Francelin Romero, Rodrigo Nogueira

BRACIS - ST35
Out 01 - Quarta	Sala 2	Chair: (TBD)
Horário	Tópico	Título	Autores
15h00-16h00	Monitoring and Surveillance
		Enhancing Situational Awareness in Public Safety with Frame-Accumulated Face Recognition and Distance-Based Evaluation	Pedro Varela de Lira, Karine Piacentini Coelho da Costa, Stefano Momo Loss, Leonardo Simões Cáceres Lima, Daniel Sabino Amorim de Araújo, Eduardo Cunha, Aluizio F. Rocha Neto, Thais Vasconcelos Batista, Nelio Cacho, Everton Cavalcante, Frederico Araújo da Silva Lopes
		Are Current Computer Vision Models for Handgun Detection Ready to be Deployed in Camera Surveillance Systems?	Ricardo Araújo Rios, Tatiane Nogueira, Jorge Batista, Cassio Vinicius Serafim Prazeres, Rubisley Lemes, Maycon Peixoto, Gustavo B. Figueiredo, Frederico Araújo Durão, Eduardo Almeida, Ivan do Carmo Machado, Hérsio M. Iwamoto
		Optimal Water Distribution Networks Monitoring Using Observability Theory and State Estimation	Bruno da Costa Porfírio, João Paulo Souza Medeiros, Luiz Paulo Barbosa, Joao Borges
		Segmentation-augmented image classification for nighttime flood monitoring	Arthur Rocha, Vinícius Vanzin, João Perino, Pedro Teodoro, Saulo Matos, Dilvan Moreira, Caetano Mazzoni Ranieri, Jó Ueyama

BRACIS - ST36
Out 01 - Quarta	Sala 3	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
15h30-16h00	Ethics in AI and CI
		Training and Test Machine Learning Models on Encrypted Data: Initial Results and Challenges	Rodrigo Kruger, Jean Paul Barddal, Vinicius M.A. Souza
		Assessing Demographic Bias and Fairness in Facial Recognition Systems: A Framework	Darian Rabbani, Italo Oliveira, Miguel D. S. Wanderley, Cinthya Oestreich Silva, Renato Almeida, João Alvim, Katia Poloni, Gustavo C. Bicalho, Lucas Francisco Pellicer, Eduardo Bovo

BRACIS - ST37
Out 02 - Quinta	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
08h00-09h00	Hardware and Networks	DiagHW: A Compact LLM for Hardware Failure Diagnosis via a Novel Knowledge Distillation Pipeline	Carlos Caminha, Maria de Lourdes Maia Silva, Iago C Chaves, Victor Farias, Felipe Brito, Javam Machado
		Deep Learning-Based Intrusion Detection for Automotive Ethernet: Evaluating & Optimizing Fast Inference Techniques for Deployment on Low-Cost Platform	Pedro Carmo, Igor de Moura Philippini, Assis Tiago de Oliveira Filho, Djamel Sadok, Cleber Zanchettin
		Data Stream Mining to Predict Recommended Actions for Firewall Network Traffic	Herbert Gonçalves Dias, Wagner Giarini, Ricardo Cerri
		ADR Based on Fuzzy Logic with Dynamic Number of Uplink Transmissions Adjustment for LoRaWAN Networks in Mobility Scenarios	Fernando Jorge Vieira Santos, Geraldo Abrantes Sarmento Neto, Thiago Allisson Ribeiro Da Silva, Pedro Felipe Ferreira De Abreu, Luis Henrique De Oliveira Mendes, José Valdemir Dos Reis Junior

BRACIS - ST38
Out 02 - Quinta	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
08h00-09h00	Graph-Based Mining and Learning	Deep Graph Clustering Using Graph Neural Networks and Seed Detection	Carlos Pereira Lopes Filho, Guilherme Messias, Sylvia Iasulaitis, Alneu de Andrade Lopes, Alan Valejo
		Evaluating the use of Knowledge Graph Embeddings to identify influential nodes in heterogeneous networks	Joao Gabriel Melo Barbirato, Alneu de Andrade Lopes
		Multilevel Strategy for Community Detection in k-Partite Networks	Renata Sarmet Smiderle Mendes, Alan Valejo, Alneu de Andrade Lopes
		Enhancing Graph Neural Networks for Multi-Target Activity Prediction Through Multi-Task Learning and Knowledge Distillation	Arthur Cerveira, Frederico Kremer, Gabriel Almeida Gomes, Ulisses Brisolara Corrêa

BRACIS - ST39
Out 02 - Quinta	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
09h00-10h00	Explainable AI in Health
		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
		Argumentation Schemes for Stress Inference	Alison R Panisson, Analucia Schiaffino Morales
		Reliable XAI Explanations in Sudden Cardiac Death Prediction for Chagas Cardiomyopathy	Vinícius Peixoto Chagas, Luiz Henrique Texeira Viana, Mac Myller da Silva Carlos, João Paulo do Vale Madeiro, Roberto Coury Pedrosa, Thiago Alves Rocha, Carlos Henrique Leitão Cavalcante
		Enhancing Framingham Cardiovascular Risk Score Transparency through Logical Explainable AI Models	Emannuel Levi de Assis Bezerra, Luiz Henrique Texeira Viana, Vinícius Peixoto Chagas, Diogo Esmeraldo Rolim, Thiago Alves Rocha, Carlos Henrique Leitão Cavalcante

BRACIS - ST40
Out 02 - Quinta	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
09h00-10h00	NLP Applications using Graphs
		Graph Condensation for Text Classification	René Santin, Diego Minatel, Nícolas Roque dos Santos, Solange Rezende
		Combining Large Language Model Embeddings and Graph Neural Networks for Accurate Job Recommendations	Alexandre Gualberto, Alan Valejo, Murilo C. Naldi
		Positive and Unlabeled Graph Learning with Large Language Models for Fake News Detection	Guilherme Messias, Mariana Caravanti de Souza, Sylvia Iasulaitis, Eloize R. M. Seno, Yanni Marcela Gameiro, Solange Rezende, Alan Valejo
		Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning	Vítor Nascimento Lourenço, Aline Paes, Tillman Weyde

BRACIS - ST41
Out 02 - Quinta	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
10h30-11h30	Papers Published in Top Venues
		A Noise-Oriented and Redundancy-Aware Instance Selection Framework	Washington Cunha, Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani, Leonardo Rocha, Marcos Gonçalves
		When do GFlowNets learn the right distribution?	Tiago da Silva, Amauri Holanda, Diego Mesquita
		Flexible Gaussian Processes with Amortized Variational Deep Kernel Learning	Alan Matias, César Lincoln Cavalcante Mattos, Joao Pordeus Gomes, Diego Mesquita
		Differentially Private Selection using Smooth Sensitivity	Iago C. Chaves, Victor Farias, Amanda Perez, Diego Mesquita, Javam Machado

BRACIS - ST42
Out 02 - Quinta	Sala 1	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
13h30-14h30	Explainable AI
		Genetic Algorithm for Interpretability in Vision Language Models	Marcelo Barreto, Cristiano Oliveira, Flávio Santos, Paulo Novais, Leonardo Matos, André Britto
		Clustering Explainability: A Systematic Literature Review	Guilherme Oliveira, Fabrício Aguiar Silva
		Slice and Explain: Logic-Based Explanations for Neural Networks through Domain Slicing	Luiz Fernando Paulino Queiroz, Carlos Henrique Leitão Cavalcante, Thiago Alves Rocha
		Integrating Explainable AI with Species Distribution Models to Assess Anthropogenic Impacts on Amazonian Birds	Renato Miyaji, Pedro Corrêa, Felipe Valencia

BRACIS - ST43
Out 02 - Quinta	Sala 2	Chair: (TBD)
Horário	Tópico	Título do Artigo	Autores
13h30-14h30	Trustworthiness and Robustness of LLMs
		Is machine-translation enough? Understanding impacts in LLM benchmarking	Taígo Pedrosa, Evandro Costa, Roberio Santos
		Towards Secure Retrieval-Augmented Generation: preventing LLM data leaks with RBAC	Igor Martinelli, Moacir Antonelli Ponti
		Adversarial Attack on Large Language Models for the Portuguese Language	Allan Figueiredo, Adriana Cesário de Faria Alvim, Pedro Nuno Moura
		Evaluating Question Answering Model Robustness Against Typographical Mistakes Using Adversarial Attacks	Ricardo Grava, Anarosa Brandão, Sarajane Marques Peres, Fábio Gagliardi Cozman