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ORCIDBRACIS 2024 - Part II: Belém do Pará, Brazil
- Aline Paes
, Filipe A. N. Verri:
Intelligent Systems - 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15413, Springer 2025, ISBN 978-3-031-79031-7
Main Track
- Matheus Campos Fernandes, Fabrício Olivetti de França, Emilio Francesquini:
Going Bananas! - Unfolding Program Synthesis with Origami. 3-18 - Mariana O. Silva, Gabriel P. Oliveira, Lucas G. L. Costa, Gisele L. Pappa:
GovBERT-BR: A BERT-Based Language Model for Brazilian Portuguese Governmental Data. 19-32 - Pedro Henrique Casarotto, Ricardo Cerri:
Growing Self-Organizing Maps for Multi-label Classification. 33-48 - Vinicius Renan de Carvalho, Jaime Simão Sichman:
HEACT: Hybrid Evolutionary Algorithm for the Multi-region Multi-objective Cloud Task Scheduling Problem. A Study of Workflow Scheduling in AWS EC2. 49-64 - Eduardo Augusto Militão Fernandes, Thiago Ferreira de Noronha, Amadeu Almeida Coco:
Heuristic Solutions for the 2D Bin-Packing Problem with Varied Size. 65-80 - Laura Simões Camargo, Enio Alterman Blay, Gabriela Soares Schmidt:
Humanities and AI: Ethical Education in Technology Careers. 81-93 - João Pedro A. de Oliveira, Olacir R. Castro:
Impact of Parent Selection Operator on the FDEA Algorithm. 94-109 - Eduardo Faria Cabrera, Marcel Rodrigues de Barros, Anna Helena Reali Costa:
Improving LLMs' Reasoning and Planning with Finite-State Machines. 110-124 - Juan Pablo Chavarro Sanchez, Tarlis Tortelli Portela, Jônata Tyska Carvalho:
Improving Short-Content Misinformation Detection Using Multiple Aspect Trajectories Classification Techniques. 125-139 - Thiago Soares Laitz, Konstantinos Papakostas, Roberto A. Lotufo, Rodrigo Nogueira:
InRanker: Distilled Rankers for Zero-Shot Information Retrieval. 140-154 - Eric Aislan Antonelo, Gustavo Claudio Karl Couto, Christian Möller, Pedro Henrique Fernandes:
Investigating Behavior Cloning from Few Demonstrations for Autonomous Driving Based on Bird's-Eye View in Simulated Cities. 155-168 - Igor Cataneo Silveira, André Barbosa, Daniel Silva Lopes da Costa, Denis Deratani Mauá:
Investigating Universal Adversarial Attacks Against Transformers-Based Automatic Essay Scoring Systems. 169-183 - Guilherme Albarrans, Valdinei Freire:
Likelihood Estimator for Multi Model-Based Reinforcement Learning. 184-198 - Talles Viana Vargas, Hélio Pedrini, André Santanchè:
LLM-Driven Chest X-Ray Report Generation With a Modular, Reduced-Size Architecture. 199-211 - Germano Antonio Zani Jorge, Davi Alves Bezerra, Clarissa Castellã Xavier, Thiago Alexandre Salgueiro Pardo:
Multilingual Extractive Summarization: Investigating State-of-the-Art Methods for English and Brazilian Portuguese. 212-223 - Isabelly P. da Costa, Bruno M. P. Takazono, Carlos H. L. Cavalcante, João P. V. Madeiro, Roberto C. Pedrosa:
Multimodal and Hybrid Models for Predicting SCD Risk in Chagas Cardiomyopathy. 224-237 - Renan Cordeiro, João F. L. Alcântara:
On the Equivalence Between Logic Programs and Bipolar Argumentation Frameworks. 238-253 - Matheus Vieira da Silva, João Fernando Mari, André Ricardo Backes:
Optimizing CleanUNet Architecture Parameters for Enhancing Speech Denoising. 254-264 - Francisco Bráulio Oliveira, Jaime Simão Sichman:
Portuguese Emotion Detection Model Using BERTimbau Applied to COVID-19 News and Replies. 265-280 - João Paulo Costa e Souza, Rodolfo I. Meneguette, Vinícius P. Gonçalves, Fábio Lúcio Lopes de Mendonça, Francisco Airton Silva, Geraldo P. Rocha Filho:
Predicting Bull and Bear Markets: A Deep Learning and Linear Regression Study in Cryptocurrencies. 281-295 - Julio Macedo Chaves, Elene Firmeza Ohata, Matheus Araujo dos Santos, José Daniel de Alencar Santos, Matheus Jardim Bernardes, Daniel Seleme Dora, Pedro Pedrosa Rebouças Filho:
Predicting Energy Consumption Data Using Deep Learning: An LSTM Approach. 296-308 - Marcelo Anselmo, Bruno César Ribas:
Pseudonymization in Legal Texts According to the LGPD: A Named Entity Recognition Approach. 309-323 - Marcos Piau, Roberto A. Lotufo, Rodrigo Nogueira:
ptt5-v2: A Closer Look at Continued Pretraining of T5 Models for the Portuguese Language. 324-338 - Marcos M. José, Flávio Nakasato Cação, Maria F. Ribeiro, Rafael M. Cheang, Paulo Pirozelli, Fábio G. Cozman:
Question Answering with Texts and Tables Through Deep Reinforcement Learning. 339-353 - Christian Delgado Polar, Karina Valdivia Delgado, Valdinei Freire:
Reinforcement Learning with Utility-Based Semantic for Goals. 354-369 - Francisco das Chagas Jucá Bomfim, João Araújo Monteiro Neto, Gilson Bezerra Filho, Vasco Furtado, Vládia Pinheiro:
SARA - A Generative AI for Legal Process Summarization Based on Chain of Density Prompt Engineering. 370-383 - Leonardo U. Alcantara, Isaac Triguero, Ricardo Cerri:
Semi-supervised Predictive Clustering Trees for Multi-label Protein Subcellular Localization. 384-399 - Klaifer Garcia, Lilian Berton:
Siamese Network-Based Prioritization for Enhanced Multi-document Summarization. 400-415 - Lucas F. F. Cardoso, José de Sousa Ribeiro Filho, Vitor C. A. Santos, Regiane S. Kawasaki Francês, Ronnie C. O. Alves:
Standing on the Shoulders of Giants. 416-430 - Leandro Carísio Fernandes, Gustavo Bartz Guedes, Thiago Soares Laitz, Thales Sales Almeida, Rodrigo Nogueira, Roberto A. Lotufo, Jayr Pereira:
SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section. 431-444 - Omid Orang, Felipe A. R. da Silva, Petrônio C. L. Silva, Pedro H. S. S. Barros, Heitor S. Ramos, Frederico G. Guimarães:
Traffic Forecasting Using Federated Randomized High-Order Fuzzy Cognitive Maps. 445-459 - Fernando Rezende Zagatti, Daniel Lucrédio, Helena de Medeiros Caseli:
Unsupervised Statistical Keyword Extraction Pipeline: Is LLM All You Need? 460-475 - Rilder S. Pires, Raquel Silveira, Carlos G. O. Fernandes, João A. Monteiro Neto, Vasco Furtado:
Using Complex Networks to Improve Legal Text Hierarchical Classification. 476-490
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