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ORCIDBRACIS 2024 - Part IV: 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 IV. Lecture Notes in Computer Science 15415, Springer 2025, ISBN 978-3-031-79037-9
Best Papers
- Marlo Souza:
A Topology-Inspired Approach to AGM Belief Change. 3-17 - Ghivvago Damas Saraiva, Rafael Torres Anchiêta, Raimundo Santos Moura, Vinícius Ponte Machado:
A Transformer-Based Tabular Approach to Detect Toxic Comments. 18-30 - Francielle Vasconcellos Pereira, Ana Frazão, Viviane P. Moreira:
Automatic Text Simplification for the Legal Domain in Brazilian Portuguese. 31-45 - João Gabriel de Souza Pinto, Andrey Rodrigues de Freitas, Anderson Carlos Gomes Martins, Caroline Midori Rozza Sawazaki, Caroline Vidal, Lucas Emanuel Silva e Oliveira:
Developing Resource-Efficient Clinical LLMs for Brazilian Portuguese. 46-60 - Marcos Paulo Silva Gôlo, João Gama, Ricardo Marcondes Marcacini:
One-Class Learning for Data Stream Through Graph Neural Networks. 61-75 - José Gilberto Barbosa de Medeiros Júnior, André Guarnier de Mitri, Diego Furtado Silva:
Semi-periodic Activation for Time Series Classification. 76-90
AI Applications for Social Good
- Jean Carlos Costa, Reginaldo Santos:
Automated and Intelligent Vocational Guidance System for Classifying Specialties Based on POSCOMP Microdata. 93-106 - Matheus Tocchini, Igor M. Rocha, Raphael M. de Barros, Jéssica O. e Silva, Ananda F. Garcia, Felipe Zular, Juliano Maranhão, Jaime Simão Sichman:
Classifying Potentially Non-compliant Portuguese Language Sentences Concerning Privacy Policies. 107-121 - Giovana Meloni Craveiro, Julio Cesar Galdino:
Diversity in Data for Speech Processing in Brazilian Portuguese. 122-136 - Gabriel Bicalho Ferreira, Pedro Silva, Rodrigo Silva:
Elevating Healthcare AI: Achieving Efficiency and Accuracy in Medical Applications with Surrogate-Based Multiobjective Compression of ResNet50 CNNs. 137-151 - Lucas Teixeira, Augusto Matos, Gabriel Carvalho, Norma Valencio, Heloisa Camargo:
Explainability of Machine Learning Models with XGBoost and SHAP Values in the Context of Coping with Disasters. 152-166 - João V. R. de Andrade, Igor L. B. da Silva, Teobaldo Gabriel de Souza Junior, Leandro H. de S. Silva, Agostinho Freire, Daisy Beserra Lucena, Bruno J. T. Fernandes:
Exploring Climatic Shifts in Brazilian Climates: Insights from ARMAX, Decision Trees, and Artificial Neural Networks. 167-179 - Ricardo Trainotti Rabonato, Evangelos E. Milios, Lilian Berton:
Gender-Neutral English to Portuguese Machine Translator: Promoting Inclusive Language. 180-195 - Daniel Leal Souza, Isadora Mendes dos Santos, Caio Johnston Soares, José Pires de Oliveira Neto, Lucas Cassiano, Marco Aurélio Proença Neto, Aline Maria Pereira Cruz Ramos, Liliane Afonso de Oliveira, Flávia Luciana Guimaraes Marçal Pantoja de Araújo, Fabrício Almeida Araújo, Gilberto Nerino de Souza Junior, Marcus de Barros Braga:
Hybrid Artificial Intelligence Model for Detecting Signs of Delayed Child Development. 196-208 - José Gustavo Cunha, Tarcísio Daniel Pontes Lucas, Andreza Daniela Pontes Lucas, Monaliza de Oliveira Ferreira:
Low Birth Weight in Brazil Vulnerable Groups: An Analysis Based on Data Mining and Big Data. 209-222 - Odelmo O. Nascimento Junior, Dhara L. C. Assis, João Batista Destro Filho, Liang Zhao, Murillo G. Carneiro:
Modeling EEG Data into Graphs for the Prognostic of Patients in Coma Using Graph Neural Networks. 223-237 - Rafael Florencio da Costa Silva, Diego Furtado Silva:
Tackling Low-Resource ECG Classification with Self-supervised Learning. 238-252 - Lorenzo Puppi Vecchi, Sylvio Barbon Junior, Emerson Cabrera Paraiso:
Tuning Hypothesis Creation: Combining Discrete and Continuous Spaces for Zero-Shot Hate Speech Detection. 253-268
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