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Intelligent Systems 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25-29, 2023, Proceedings, Part III
Title
Intelligent Systems [electronic resource] : 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25-29, 2023, Proceedings, Part III / edited by Murilo C. Naldi, Reinaldo A. C. Bianchi.
ISBN
9783031453922
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (XVIII, 489 p.) 133 illus., 107 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows: Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis; Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
November 02, 2023
Series
Lecture Notes in Artificial Intelligence, 14197
Contents
Multi-objective Genetic Algorithms Applied to the Optimization of Expanded Genetic Codes
Genetic Algorithms with Optimality Cuts to the Max-Cut Problem
Assessment of robust multi-objective evolutionary algorithms on robust and noisy environments
Binary Flying Squirrel Optimizer for Feature Selection
Fitness Landscape Analysis of TPOT using Local Optima Network
Optimization Strategies for BERT-based Named Entity Recognition
FlexCon-CE: A Semi-supervised Method with an Ensemble-based Adaptive Confidence
Single Image Super-Resolution Based on Capsule Neural Networks
Development of a Deep Learning Model for the Classification of Mosquito Larvae Images
A Simple and Low-cost Method for Leaf Surface Dimension Estimation Based on Digital Images
Crop Row Line Detection with Auxiliary Segmentation Task
Multiple object tracking in native bee hives: A case study with Jataí in the field
An Open Source Eye Gaze Tracker system to perform remote user testing evaluations
Who Killed the Winograd Schema Challenge? Sabiá: Portuguese Large Language Models
Disambiguation of Universal Dependencies Part-of-Speech Tags of Closed Class Words in Portuguese
Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain
LegalBert-pt: A Pretrained Language Model for the Brazilian Portuguese Legal Domain
A Framework for Controversial Political Topics Identification using Twitter Data
Leveraging Sign Language Processing with Formal SignWriting and Deep Learning Architectures A clustering validation index based on semantic description
Detecting Multiple Epidemic Sources in Network Epidemics using Graph Neural Networks
Prediction of cancer-related miRNA targets using an integrative heterogeneous Graph Neural Network-based method
Time series forecasting of COVID-19 cases in Brazil with GNN and mobility networks
Federated Learning and Mel-spectrograms for Physical Violence Detection in Audio
Police Report Similarity Search: a case study
Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain
A Tool for Measuring Energy Consumption in Data Stream Mining
Improved Fuzzy Decision System for Energy Bill Reduction in the Context of the Brazilian White Tariff Scenario
Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis
Investigation of deep Active Self-Learning algorithms applied to named entity recognition.
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