UID:
almahu_9949948814502882
Format:
XVIII, 490 p. 137 illus., 111 illus. in color.
,
online resource.
Edition:
1st ed. 2025.
ISBN:
9783031790294
Series Statement:
Lecture Notes in Artificial Intelligence, 15412
Content:
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.
Note:
-- 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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031790287
Additional Edition:
Printed edition: ISBN 9783031790300
Language:
English
DOI:
10.1007/978-3-031-79029-4
URL:
https://doi.org/10.1007/978-3-031-79029-4
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