Intelligent Systems: Lecture Notes in Computer Science, cartea 14197
Editat de Murilo C. Naldi, Reinaldo A. C. Bianchien Limba Engleză Paperback – 13 oct 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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (3) | 521.94 lei 6-8 săpt. | |
| Springer – 12 oct 2023 | 521.94 lei 6-8 săpt. | |
| Springer – 13 oct 2023 | 524.83 lei 6-8 săpt. | |
| Springer – 13 oct 2023 | 525.04 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783031453915
ISBN-10: 3031453913
Pagini: 508
Ilustrații: XVIII, 489 p. 133 illus., 107 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.76 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031453913
Pagini: 508
Ilustrații: XVIII, 489 p. 133 illus., 107 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.76 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
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.