Intelligent Systems
Editat de Murilo C. Naldi, Reinaldo A. C. Bianchien Limba Engleză Paperback – 12 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 |
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| Paperback (3) | 520.33 lei 6-8 săpt. | |
| Springer – 12 oct 2023 | 520.33 lei 6-8 săpt. | |
| Springer – 13 oct 2023 | 523.20 lei 6-8 săpt. | |
| Springer – 13 oct 2023 | 523.41 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783031453885
ISBN-10: 3031453883
Pagini: 452
Ilustrații: XVIII, 433 p. 177 illus., 141 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.68 kg
Ediția:1st edition 2023
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3031453883
Pagini: 452
Ilustrații: XVIII, 433 p. 177 illus., 141 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.68 kg
Ediția:1st edition 2023
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
Transformer Model for Fault Detection From Brazilian Pre-Salt Seismic Data.- Evaluating Recent Legal Rhetorical Role Labeling Approaches Supported by Transformer Encoders.- Dog Face Recognition Using Vision Transformer.- Convolutional neural networks for the molecular detection of Covid-19.- Hierarchical Graph Convolutional Networks for Image Classification.- Interpreting Convolutional Neural Networks for Brain Tumor Classification: An Explainable Artificial Intelligence Approach.- Enhancing Stock Market Predictions through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-Market Analysis.- Ensemble architectures and efficient fusion techniques for Convolutional Neural Networks: an analysis on resource optimization strategies.- Dog Face Recognition using Deep Feature Embeddings.- Clinical oncology textual notes analysis using machine learning and deep learning.- EfficientDeepLab For Automated Trachea Segmentation On Medical Images.- Multi-Label Classification of Pathologies in Chest Radiograph Images Using DenseNet.- Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers.- Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence.- Deep Reinforcement Learning for Voltage Control in Power Systems.- Performance Analysis of Generative Adversarial Networks and Diffusion Models for Face Aging.- Occluded Face In-painting Using Generative Adversarial Networks - A Review
Classification of facial images to assist in the diagnosis of Autism Spectrum Disorder: a study on the effect of face detection and landmark identification algorithms.- Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design.- AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification.- Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset.- Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification.- A Feature-based Out-of-Distribution Detection Approach in Skin Lesion Classification.- A framework for characterizing what makes an instance hard to classify.- Physicochemical Properties for Promoter Classification.- Critical analysis of AI indicators in terms of weighting and aggregation approaches.- Estimating Code Running Time Complexity with Machine Learning
The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection.