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ORCIDBRACIS 2025: Fortaleza, Brazil - Part II
- Rosiane de Freitas
, Diego Furtado Silva:
Intelligent Systems - 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE, Brazil, September 29 - October 2, 2025, Proceedings, Part II. Lecture Notes in Computer Science 16180, Springer 2026, ISBN 978-3-032-15983-0
Main Track
- Gabriel da S. C. Nogueira, Davi P. dos Santos, André C. P. L. F. de Carvalho, Luís Paulo F. Garcia:
Hardness Sampling: Exploring Instance Hardness in Pool-Based Active Learning. 3-17 - Filipe Dwan Pereira, George Zambonin, Francisco Bráulio Oliveira, Chris Penna, Gabriel Vasconcelos, Gabriel A. Barbosa, João Paulo Freitas, Pedro Dreyer, Ricardo Fernandes, Rafael Ferreira Mello:
Hotel Intelligence: Maximizing Revenue with Nonlinear Dynamic Pricing and Predictive Demand Analysis. 18-33 - Conrado Catarcione Pinto, Amanda Camacho Novaes de Oliveira, Rodrigo Sapienza Luna, Daniel Ratton Figueiredo:
Identifying Asymptomatic Nodes in Network Epidemics Using Graph Neural Networks. 34-48 - Marcelo Ribeiro, Marilton Sanchotene de Aguiar:
Improving Medical Image Segmentation with Semantic Mask-Guided Diffusion Models. 49-63 - Ademir Batista Santos Neto, Tiago Ferreira, Paulo Renato A. Firmino:
Increasing Time Series Forecasting Performance with Dynamic System Copula-Based Ensemble Models. 64-78 - Lucas S. Kupssinskü, Marco N. Bochernitsan, Jordan Kopper, Otávio Parraga, Rodrigo C. Barros:
Inference Time Debiasing Concepts in Diffusion Models. 79-93 - Bernardo Teixeira, Marcel R. de Barros, Edson S. Gomi, Eduardo Aoun Tannuri, Fábio Levy Siqueira, Anna Helena Reali Costa:
Interpolation of Multivariate Time Series with Nearly-Symmetric Time Translations. 94-106 - Taígo Ítalo de Moraes Pedrosa, Evandro de Barros Costa, Robério José Rogério dos Santos:
Is Machine-Translation Enough? Understanding Impacts in LLM Benchmarking. 107-120 - Roseval Malaquias Junior, Ramon Pires, Roseli A. F. Romero, Rodrigo Nogueira:
Juru: Legal Brazilian Large Language Model from Reputable Sources. 121-134 - Enzo Shiraishi, Raphael Y. de Camargo, Henrique L. P. Silva, Ronaldo C. Prati:
Information Retrieval and In-Context Learning for Low-Resource Named Entity Recognition. 135-149 - Gladston Moreira, Ivan Reinaldo Meneghini, Elizabeth F. Wanner:
Maximum Dispersion, Maximum Concentration: Enhancing the Quality of MOP Solutions. 150-165 - Augusto Exenberger Becker, Mariana Recamonde Mendoza:
Mind the Gap: Investigating the Impact of Data Leakage on Machine Learning Predictive Models. 166-180 - Mauro Nooblath, João Alfredo Bessa, Rosiane de Freitas:
Mitigating High Dimensionality and Few Training Data with a Quantum Kernel Learning Approach. 181-195 - Renata Sarmet Smiderle Mendes, Alan Demétrius Baria Valejo, Alneu de Andrade Lopes:
Multilevel Strategy for Community Detection in k-Partite Networks. 196-211 - Ingrid de Araújo Felix, João Henrique De Medeiros Delgado, Tiago A. E. Ferreira:
Neural Networks with Adaptive and Trainable Activation Functions Applied to Solve Stochastic Differential Equations. 212-226 - Giancarlo Lucca, Tiago da Cruz Asmus, Graçaliz Pereira Dimuro, Hélida Salles Santos, Renata H. S. Reiser, Adenauer C. Yamin, Cédric Marco-Detchart, Humberto Bustince:
New Generalizations of the Choquet Integral by Restricted Dissimilarity Functions. 227-241 - Samuel de Oliveira Ribeiro, Markesley Ramos do Nascimento, Dayan Ramos Gomes, Saulo Moraes Villela, Glauber Dias Gonçalves:
NFT Collection Classification: A Multimodal Approach Integrating Metadata and Textual Embeddings with Supervised Learning. 242-255 - Júlia Almeida Valadares, Saulo Moraes Villela, Heder Soares Bernardino, Alex Borges Vieira:
On the Combination of Machine Learning Techniques with Simulated Annealing to Identify Professional Accounts in Ethereum. 256-270 - Vinicios Cainã dos Santos Coelho, Alceu de Souza Britto Jr., Jean Paul Barddal:
OnlineSIRUOS: An Inverse Random Under and Oversampling, Heterogeneous Ensemble, and Meta-learning Approach for Imbalanced Data Stream Classification. 271-285 - Igor Felipe Carboni Battazza, Cleyton Mário de Oliveira Rodrigues, João Fausto L. de Oliveira:
Ontology-Enriched BERT for Financial Market State Prediction. 286-300 - Claro Henrique Silva Sales, Francisco Heron de Carvalho Junior, Allberson Bruno de Oliveira Dantas:
Performance Analysis of Quantization in Federated Split Learning. 301-314 - Eduardo Façanha Dutra, Arthur Cavalcante e Silva, Maria Andréia Formico Rodrigues:
Pose-Based Fall Detection Across Views: Boosting Generalization with Synthetic Data and Data Augmentation. 315-330 - Guilherme Henrique Messias, Mariana Caravanti de Souza, Yanni Marcela Gameiro, Sylvia Iasulaitis, Eloize Rossi Marques Seno, Solange Oliveira Rezende, Alan Demétrius Baria Valejo:
Positive and Unlabeled Graph Learning with Large Language Models for Fake News Detection. 331-346 - Monique Louise Monteiro, George Gomes Cabral, Adriano Lorena Inácio de Oliveira:
Pre-trained Code Language Models for Just-in-Time Software Defect Prediction: An Empirical Study. 347-361 - Eduardo R. Laurentino, Fábio Gagliardi Cozman, Denis Deratani Mauá, Daniel Angelo Esteves Lawand, Davi Goncalves Bezerra Coelho, Lucas Martins Marques:
Probabilities of Causation and Root Cause Analysis with Quasi-Markovian Models. 362-376 - Verner Rafael Ferreira, Anne Magály de Paula Canuto:
Proposing an Efficient CNN-Based Architecture for Image Processing. 377-394 - Gian Franco Condori-Luna, Didier A. Vega-Oliveros, Marcelo da Silva Reis:
Reducing Dependence on Labeled Data: A Self-Supervised Fine-Tuning Approach for Low-Resource Language Models. 395-409 - Igor Miyamura Agostinho, Valdinei Freire da Silva:
Relational Expressivity Coverage: Comparing Risk-Sensitive Criteria for SSP Problems. 410-425 - Vinícius P. Chagas, Luiz H. T. Viana, Mac M. da S. Carlos, João P. V. Madeiro, Roberto C. Pedrosa, Thiago Alves Rocha, Carlos H. L. Cavalcante:
Reliable XAI Explanations in Sudden Cardiac Death Prediction for Chagas Cardiomyopathy. 426-439 - Marcelo Dias, Carlos Silva, Alejandro Pereira, Marilton S. de Aguiar, Daniel Welfer:
Retinal Lesion Detection and Segmentation Using a Region of Interest-Based Approach with YOLO11. 440-454 - Guilherme Sales Fernandes, Lucas Gaspar Peres, Lívia Almada Cruz, Regis Pires Magalhães, José A. F. de Macêdo:
RS4: Restricted Search Space for Snippet Selection. 455-469 - João Freire Abramowicz, Heuryk Wylk Éboli, Cleyton Rodrigues:
Semantic Analysis of Synthetic EULA Contracts, with Natural Language Processing Techniques for LGPD Compliance Assessment. 470-485 - Luiz Fernando Paulino Queiroz, Carlos H. L. Cavalcante, Thiago Alves Rocha:
Slice and Explain: Logic-Based Explanations for Neural Networks Through Domain Slicing. 486-500 - Gustavo Henrique Maia Dias, Thaís Gaudencio do Rêgo, Yuri de Almeida Malheiros:
Style-Specific Diffusion for Architectural Classification: Enhancing Performance Through Class-Adapted LoRA Augmentation. 501-515 - Henrique de Lima Alexandre, Clodoaldo Aparecido de Moraes Lima:
Synthetic EEG Generation Using Diffusion Model for Motor Imagery Task. 516-530 - João Carlos N. Fernandes, Debora Sales Costa, Carlos Henrique Oliveira de Almeida, Vitor Bispo Braúna, Francisco Hércules dos S. Silva, Houbing Herbert Song, Pedro Pedrosa Rebouças Filho:
Textual Prompt-Guided Segmentation of Hemorrhagic Stroke in Computed Tomography Images. 531-546 - Julio Cesar Galdino, Sidney Evaldo Leal, Letícia Gabriella de Souza, Rodrigo Lima, Antonio Moreira, Arnaldo Cândido Jr., Miguel Oliveira Jr., Edresson Casanova, Sandra M. Aluísio:
The Impact of Prosodic Segmentation on Speech Synthesis of Spontaneous Speech. 547-561 - Rodrigo Kruger, Jean Paul Barddal, Vinícius M. A. de Souza:
Training and Test Machine Learning Models on Encrypted Data: Initial Results and Challenges. 562-577 - Pedro B. Rigueira, Victoria F. Mello, Guilherme H. G. Evangelista, Caio Souza Grossi, Giovana A. M. Machado, Pedro Dutenhefner, Wagner Meira Jr., Gisele L. Pappa:
TRIDENT: Tabular Representation Inference with Dedicated Embeddings for Null Tokens. 578-592 - Paulo V. S. dos Santos, Patrick Ryan Sales dos Santos, João Otávio Bandeira Diniz, Antonio Oseas de Carvalho Filho:
U-Net-EL: A U-Net and Early Learning-Based Method for Histopathological Breast Image Segmentation. 593-606 - Renato Tinós, Francisco Chicano, Michal Witold Przewozniczek:
Variable Importance and Interaction in Differential Evolution: Online Learning and a New Recombination Operator. 607-622
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