Intelligent Systems

Table of Contents

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   Book Overview
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   Chapter 1 A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News
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   Chapter 2 Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques
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   Chapter 3 De-Identification of Clinical Notes Using Contextualized Language Models and a Token Classifier
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   Chapter 4 Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach
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   Chapter 5 Encoding Physical Conditioning from Inertial Sensors for Multi-step Heart Rate Estimation
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   Chapter 6 Ensemble of Protein Stability upon Point Mutation Predictors
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   Chapter 7 Ethics of AI: Do the Face Detection Models Act with Prejudice?
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   Chapter 8 Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil’s Chamber of Deputies
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    Chapter 9 Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays
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    Chapter 10 Experiments on Portuguese Clinical Question Answering
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    Chapter 11 Long-Term Map Maintenance in Complex Environments
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    Chapter 12 Supervised Training of a Simple Digital Assistant for a Free Crop Clinic
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    Chapter 13 The Future of AI: Neat or Scruffy?
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    Chapter 14 Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network
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    Chapter 15 Code Autocomplete Using Transformers
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    Chapter 16 Deep Convolutional Features for Fingerprint Indexing
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    Chapter 17 How to Generate Synthetic Paintings to Improve Art Style Classification
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    Chapter 18 Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought
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    Chapter 19 Performance Analysis of YOLOv3 for Real-Time Detection of Pests in Soybeans
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    Chapter 20 Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis
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    Chapter 21 Sea State Estimation with Neural Networks Based on the Motion of a Moored FPSO Subjected to Campos Basin Metocean Conditions
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    Chapter 22 Time-Dependent Item Embeddings for Collaborative Filtering
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    Chapter 23 Transfer Learning of Shapelets for Time Series Classification Using Convolutional Neural Network
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    Chapter 24 A Deep Learning Approach for Aspect Sentiment Triplet Extraction in Portuguese
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    Chapter 25 Aggressive Language Detection Using VGCN-BERT for Spanish Texts
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    Chapter 26 An Empirical Study of Text Features for Identifying Subjective Sentences in Portuguese
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    Chapter 27 Comparing Contextual Embeddings for Semantic Textual Similarity in Portuguese
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    Chapter 28 Deep Active-Self Learning Applied to Named Entity Recognition
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    Chapter 29 DEEPAGÉ: Answering Questions in Portuguese About the Brazilian Environment
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    Chapter 30 Enriching Portuguese Word Embeddings with Visual Information
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    Chapter 31 Entity Relation Extraction from News Articles in Portuguese for Competitive Intelligence Based on BERT
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    Chapter 32 Experiments on Kaldi-Based Forced Phonetic Alignment for Brazilian Portuguese
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    Chapter 33 Incorporating Text Specificity into a Convolutional Neural Network for the Classification of Review Perceived Helpfulness
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    Chapter 34 Joint Event Extraction with Contextualized Word Embeddings for the Portuguese Language
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    Chapter 35 mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer
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    Chapter 36 Named Entity Recognition for Brazilian Portuguese Product Titles
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    Chapter 37 Portuguese Neural Text Simplification Using Machine Translation
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    Chapter 38 Rhetorical Role Identification for Portuguese Legal Documents
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    Chapter 39 Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models
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    Chapter 40 Text Classification in Legal Documents Extracted from Lawsuits in Brazilian Courts
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    Chapter 41 Universal Dependencies-Based PoS Tagging Refinement Through Linguistic Resources
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    Chapter 42 When External Knowledge Does Not Aggregate in Named Entity Recognition