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Intelligent systems = 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024 : proceedings.. Part I /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent systems/ edited by Aline Paes, Filipe A. N. Verri.
其他題名:	34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024 : proceedings.
其他題名:	BRACIS 2024
其他作者:	Verri, Filipe A. N.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xviii, 490 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Computer Application in Social and Behavioral Sciences. -
電子資源:	https://doi.org/10.1007/978-3-031-79029-4
ISBN:	9783031790294

Intelligent systems = 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024 : proceedings.. Part I /
Intelligent systems34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024 : proceedings.Part I /[electronic resource] :BRACIS 2024edited by Aline Paes, Filipe A. N. Verri. - Cham :Springer Nature Switzerland :2025. - xviii, 490 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,154120302-9743 ;. - Lecture notes in artificial intelligence..

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.

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.

ISBN: 9783031790294

Standard No.: 10.1007/978-3-031-79029-4doiSubjects--Topical Terms:

1365738
Computer Application in Social and Behavioral Sciences.

LC Class. No.: Q334

Dewey Class. No.: 006.3

Intelligent systems = 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024 : proceedings.. Part I /
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