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ORCIDBRACIS 2024 - Part I: 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 I. Lecture Notes in Computer Science 15412, Springer 2025, ISBN 978-3-031-79028-7
Main Track
- Tiago da Silva, Diego Mesquita:
A Contrastive Objective for Training Continuous Generative Flow Networks. 3-16 - Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel C. Cunha:
A Data Distribution-Based Ensemble Generation Applied to Wind Speed Forecasting. 17-32 - Rodrigo Lima, Sidney Evaldo Leal, Arnaldo Cândido Júnior, Sandra M. Aluísio:
A Large Dataset of Spontaneous Speech with the Accent Spoken in São Paulo for Automatic Speech Recognition Evaluation. 33-47 - Alison R. Panisson, Giovani Parente Farias:
A Multi-level Semantics Formalism for Multi-Agent Microservices. 48-63 - Bernardo B. Gatto, Marco A. F. Mollinetti, Eulanda M. dos Santos, Alessandro L. Koerich, Waldir Sabino da Silva Júnior:
A Novel Genetic Algorithm Approach for Discriminative Subspace Optimization. 64-79 - Rafael De S. Toledo, Cristiano Souza de Oliveira, Vitor H. T. Oliveira, Eric A. Antonelo, Aldo von Wangenheim:
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads. 80-95 - Willy Arthur Silva Reis, Karina Valdivia Delgado, Valdinei Freire:
A Unified Framework for Average Reward Criterion and Risk. 96-110 - Arthur Negrão, Guilherme Silva, Rodrigo C. Pedrosa, Eduardo Luz, Pedro Silva:
Adaptive Client-Dropping in Federated Learning: Preserving Data Integrity in Medical Domains. 111-126 - Rafael Oleques Nunes, Letícia Maria Puttlitz, Antônio Oss Boll, Andre Suslik Spritzer, Carla Maria Dal Sasso Freitas, Dennis Giovani Balreira, Anderson Rocha Tavares:
An Ensemble of LLMs Finetuned with LoRA for NER in Portuguese Legal Documents. 127-140 - Patricia S. M. Ueda, Adriano Rivolli, Ana Carolina Lorena:
An Instance Level Analysis of Classification Difficulty for Unlabeled Data. 141-155 - Thiago de Paulo Faleiros, Paulo Eduardo Althoff, Alan Demétrius Baria Valejo:
Analyzing the Impact of Coarsening on k-Partite Network Classification. 156-168 - Michael Cruz, Luciano Barbosa:
Applying Transformers for Anomaly Detection in Bus Trajectories. 169-184 - Thiago Lira, Flávio Nakasato Cação, Cinthia Souza, João Valentini, Edson Bollis, Otavio Oliveira, Renato Almeida, Marcio Magalhães, Katia Poloni, Andre Oliveira, Lucas F. A. O. Pellicer:
Aroeira: A Curated Corpus for the Portuguese Language with a Large Number of Tokens. 185-199 - Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Pedro Henriques Abreu, Ana Carolina Lorena:
Assessing Adversarial Effects of Noise in Missing Data Imputation. 200-214 - Rafael Oleques Nunes, Joaquim Santos, Andre Suslik Spritzer, Dennis Giovani Balreira, Carla Maria Dal Sasso Freitas, Fernanda Olival, Helena Freire Cameron, Renata Vieira:
Assessing European and Brazilian Portuguese LLMs for NER in Specialised Domains. 215-230 - Douglas Amorim de Oliveira, Karina Valdivia Delgado, Marcelo de Souza Lauretto:
BASWE: Balanced Accuracy-Based Sliding Window Ensemble for Classification in Imbalanced Data Streams with Concept Drift. 231-246 - Antônio Oss Boll, Letícia Maria Puttlitz, Heloísa Oss Boll, Rodrigo Mor Malossi:
Beyond Audio Signals: Generative Model-Based Speaker Diarization in Portuguese. 247-259 - Maxwell Pires Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Classification of Non-alcoholic Fatty Liver Disease in Thermal Images of the Liver Using a Siamese Neural Network. 260-269 - Joaquim Viana, Helder Matos, Marcelle Mota, Reginaldo Santos:
Classifying Graphs of Elementary Mathematical Functions Using Convolutional Neural Networks. 270-280 - Levi Cordeiro Carvalho, Saulo A. F. Oliveira, Thiago Alves Rocha:
Comparing Neural Network Encodings for Logic-Based Explainability. 281-295 - Lucas Almeida da Silva, Eulanda Miranda dos Santos, Rafael Giusti:
Deep Learning Approach to Temporal Dimensionality Reduction of Volumetric Computed Tomography. 296-309 - Hans Herbert Schulz, Benjamin Grando Moreira:
Deployment of IBM Federated Learning Platform and Aggregation Algorithm Comparison: A Case Study Using the MNIST Dataset. 310-323 - Anderson Lopes Silva, Hellen Guterres França, Carlos Mendes dos Santos Neto, Alexandre César Pinto Pessoa, Darlan Bruno Pontes Quintanilha, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Detection of Pathological Regions of the Gastrointestinal Tract in Capsule Images Using EfficientNetV2 and YOLOv8. 324-339 - Rafaello Virgilli, Arnaldo Cândido Júnior, Augusto Seben da Rosa, Frederico Santos de Oliveira, Anderson da Silva Soares:
Dual-Bandwidth Spectrogram Analysis for Speaker Verification. 340-351 - Jesaías Carvalho Pereira Silva, Anne Magály de Paula Canuto, Araken de Medeiros Santos:
Dynamicity Analysis in the Selection of Classifier Ensembles Parameters. 352-367 - Camila Santana Braz, Matheus Cândido Teixeira, Gisele Lobo Pappa:
Embedding Representations for AutoML Pipelines. 368-382 - Silvio Fernando Angonese, Renata Galante:
Enhancing Graph Data Quality by Leveraging Heterogeneous Node Features and Embeddings. 383-398 - Leonardo P. Sousa, Romuere R. V. Silva, Maíla L. Claro, Flávio H. D. Araújo, Rodrigo N. Borges, Vinícius P. Machado, Rodrigo M. S. Veras:
Ensemble of CNNs for Enhanced Leukocyte Classification in Acute Myeloid Leukemia Diagnosis. 399-413 - Fillipe dos Santos Silva, Gabriel Kenzo Kakimoto, Júlio Cesar dos Reis, Marcelo S. Reis:
[inline-graphic not available: see fulltext] ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation. 414-429 - Marcelo M. Amorim, Leonardo Prata, João Stephan Maurício, Alex Borges Vieira, Heder Bernardino, Gabriel Henrique de Souza:
Euclidean Alignment for Transfer Learning in Multi-band Common Spatial Pattern. 430-443 - Edgard B. Alves, Jorge A. Alves, Ronaldo R. Goldschmidt:
Evaluating CNN-Based Classification Models Combined with the Smoothed Pseudo Wigner-Ville Distribution to Identify Low Probability of Interception Radar Signals. 444-459 - João Paulo Cavalcante Presa, Celso Gonçalves Camilo Junior, Sávio Salvarino Teles de Oliveira:
Evaluating Large Language Models for Tax Law Reasoning. 460-474 - Adriano Veloso, Gianlucca L. Zuin, Luan Sena:
Explaining Biomarker Response to Anticoagulant Therapy in Atrial Fibrillation: A Study of Warfarin and Rivaroxaban with Machine Learning Models. 475-487
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