34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part I Herausgegeben:Paes, Aline; Verri, Filipe A. N.
34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part I Herausgegeben:Paes, Aline; Verri, Filipe A. N.
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Belém do Pará, Brazil, during November 18-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI…mehr
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Belém do Pará, Brazil, during November 18-21, 2024.
The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
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Inhaltsangabe
.- Main Track. .- A Contrastive Objective for Training Continuous Generative Flow Networks. .- A Data Distribution-based Ensemble Generation Applied to Wind Speed Forecasting. .- A Large Dataset of Spontaneous Speech with the Accent Spoken in Sao Paulo for Automatic Speech Recognition Evaluation. .- A Multi-Level Semantics Formalism for Multi-Agent Microservices. .- A Novel Genetic Algorithm Approach for Discriminative Subspace Optimization. .- A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads. .- A Unified Framework for Average Reward Criterion and Risk. .- Adaptive Client-Dropping in Federated Learning: Preserving Data Integrity in Medical Domains. .- An Ensemble of LLMs finetuned with LoRA for NER in Portuguese legal documents. .- An instance level analysis of classification difficulty for unlabeled data. .- Analyzing the Impact of Coarsening on k-Partite Network Classification. .- Applying Transformers for Anomaly Detection in Bus Trajectories. .- Aroeira: A Curated Corpus for the Portuguese Language with a Large Number of Tokens. .- Assessing Adversarial Effects of Noise in Missing Data Imputation. .- Assessing European and Brazilian Portuguese LLMs for NER in specialized domains. .- BASWE: Balanced Accuracy-based Sliding Window Ensemble for Classification in Imbalanced Data Streams with Concept Drift. .- Beyond Audio Signals: Generative Model-Based Speaker Diarization in Portuguese. .- Classification of Non-Alcoholic Hepatic Steatosis in Liver Thermal Imaging Using Siamese Neural Network. .- Classifying graphs of elementary mathematical functions using Convolutional Neural Networks. .- Comparing Neural Network Encodings for Logic-based Explainability. .- Deep learning approach to temporal dimensionality reduction of volumetric computed tomography. .- Deployment of IBM Federated Learning Platform and Aggregation Algorithm Comparison: A Case Study Using the MNIST Dataset. .- Detection of Pathological Regions of the Gastrointestinal Tract in Capsule Images Using EfficientNetV2 and YOLOv8. .- Dual-Bandwidth Spectrogram Analysis for Speaker Verification. .- Dynamicity Analysis in the Selection of Classifier Ensembles Parameters. .- Embedding Representations for AutoML Pipelines. .- Enhancing Graph Data Quality by Leveraging Heterogeneous Node Features and Embeddings. .- Ensemble of CNNs for Enhanced Leukocyte Classification in Acute Myeloid Leukemia Diagnosis. .- ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation. .- Euclidean Alignment for Transfer Learning in Multi-band Common Spatial Pattern. .- Evaluating CNN-Based Classification Models Combined with the Smoothed Pseudo Wigner-Ville Distribution to Identify Low Probability of Interception Radar Signals. .- Evaluating Large Language Models for Tax Law Reasoning. .- Explaining Biomarker Response to Anticoagulant Therapy in Atrial Fibrillation: A Study of Warfarin and Rivaroxaban with Machine Learning Models.
.- Main Track. .- A Contrastive Objective for Training Continuous Generative Flow Networks. .- A Data Distribution-based Ensemble Generation Applied to Wind Speed Forecasting. .- A Large Dataset of Spontaneous Speech with the Accent Spoken in Sao Paulo for Automatic Speech Recognition Evaluation. .- A Multi-Level Semantics Formalism for Multi-Agent Microservices. .- A Novel Genetic Algorithm Approach for Discriminative Subspace Optimization. .- A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads. .- A Unified Framework for Average Reward Criterion and Risk. .- Adaptive Client-Dropping in Federated Learning: Preserving Data Integrity in Medical Domains. .- An Ensemble of LLMs finetuned with LoRA for NER in Portuguese legal documents. .- An instance level analysis of classification difficulty for unlabeled data. .- Analyzing the Impact of Coarsening on k-Partite Network Classification. .- Applying Transformers for Anomaly Detection in Bus Trajectories. .- Aroeira: A Curated Corpus for the Portuguese Language with a Large Number of Tokens. .- Assessing Adversarial Effects of Noise in Missing Data Imputation. .- Assessing European and Brazilian Portuguese LLMs for NER in specialized domains. .- BASWE: Balanced Accuracy-based Sliding Window Ensemble for Classification in Imbalanced Data Streams with Concept Drift. .- Beyond Audio Signals: Generative Model-Based Speaker Diarization in Portuguese. .- Classification of Non-Alcoholic Hepatic Steatosis in Liver Thermal Imaging Using Siamese Neural Network. .- Classifying graphs of elementary mathematical functions using Convolutional Neural Networks. .- Comparing Neural Network Encodings for Logic-based Explainability. .- Deep learning approach to temporal dimensionality reduction of volumetric computed tomography. .- Deployment of IBM Federated Learning Platform and Aggregation Algorithm Comparison: A Case Study Using the MNIST Dataset. .- Detection of Pathological Regions of the Gastrointestinal Tract in Capsule Images Using EfficientNetV2 and YOLOv8. .- Dual-Bandwidth Spectrogram Analysis for Speaker Verification. .- Dynamicity Analysis in the Selection of Classifier Ensembles Parameters. .- Embedding Representations for AutoML Pipelines. .- Enhancing Graph Data Quality by Leveraging Heterogeneous Node Features and Embeddings. .- Ensemble of CNNs for Enhanced Leukocyte Classification in Acute Myeloid Leukemia Diagnosis. .- ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation. .- Euclidean Alignment for Transfer Learning in Multi-band Common Spatial Pattern. .- Evaluating CNN-Based Classification Models Combined with the Smoothed Pseudo Wigner-Ville Distribution to Identify Low Probability of Interception Radar Signals. .- Evaluating Large Language Models for Tax Law Reasoning. .- Explaining Biomarker Response to Anticoagulant Therapy in Atrial Fibrillation: A Study of Warfarin and Rivaroxaban with Machine Learning Models.
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