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Intelligent Systems

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Cover of 'Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 A Sequential Recommender System with Embeddings Based on GraphSage Aggregators
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    Chapter 2 Least-Squares Linear Dilation-Erosion Regressor Trained Using a Convex-Concave Procedure
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    Chapter 3 Exploration Versus Exploitation in Model-Based Reinforcement Learning: An Empirical Study
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    Chapter 4 BoVW-CAM: Visual Explanation from Bag of Visual Words
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    Chapter 5 Using BERT to Predict the Brazilian Stock Market
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    Chapter 6 Human Action Recognition Based on 2D Poses and Skeleton Joints
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    Chapter 7 Self-learning Methodology Based on Degradation Estimation for Underwater Image Enhancement
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    Chapter 8 When Less May Be More: Exploring Similarity to Improve Experience Replay
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    Chapter 9 Human Identification Based on Gait and Soft Biometrics
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    Chapter 10 Training Aware Sigmoidal Optimization
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    Chapter 11 Combining Neural Networks and a Color Classifier for Fire Detection
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    Chapter 12 A Study of Emergency Siren Recognition on Resource-Constrained Devices
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    Chapter 13 A Probabilistically-Oriented Analysis of the Performance of ASR Systems for Brazilian Radios and TVs
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    Chapter 14 A Reward Function Using Image Processing for a Deep Reinforcement Learning Approach Applied to the Sonic the Hedgehog Game
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    Chapter 15 Predicting Failures in HDDs with Deep NN and Irregularly-Sampled Data
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    Chapter 16 Protein Molecular Function Annotation Based on Transformer Embeddings
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    Chapter 17 Event Detection in Therapy Sessions for Children with Autism
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    Chapter 18 On Social Consensus Mechanisms for Federated Learning Aggregation
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    Chapter 19 MegaLite PT : A Corpus of Literature in Portuguese for NLP
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    Chapter 20 A Survey of Recent Advances on Two-Step 3D Human Pose Estimation
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    Chapter 21 Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets
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    Chapter 22 A Comparative Study of Federated Versus Centralized Learning for Time Series Prediction in IoT
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    Chapter 23 A Hybrid System with Nonlinear Combination for Wind Speed Forecasting
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    Chapter 24 Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM
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    Chapter 25 Aiding Glaucoma Diagnosis from the Automated Classification and Segmentation of Fundus Images
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    Chapter 26 Offline and Online Neural Network Learning in the Context of Smart Homes and Fog Computing
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    Chapter 27 Improved Alternative Average Support Value for Automatic Ingredient Substitute Recommendation in Cooking Recipes
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    Chapter 28 Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points
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    Chapter 29 Impact of Morphological Segmentation on Pre-trained Language Models
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    Chapter 30 Learning Global Optimization by Deep Reinforcement Learning
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    Chapter 31 A Frequency Learning Approach Based on the Hartley Transform for Texture Classification
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    Chapter 32 How Resilient Are Imitation Learning Methods to Sub-optimal Experts?
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    Chapter 33 To Answer or Not to Answer? Filtering Questions for QA Systems
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    Chapter 34 Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts
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    Chapter 35 Interact2Vec: Neural Item and User Embedding for Collaborative Filtering
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    Chapter 36 Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors
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    Chapter 37 Artificial Neural Networks to Analyze Energy Consumption and Temperature of UAV On-Board Computers Executing Algorithms for Object Detection
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    Chapter 38 FastContext: Handling Out-of-Vocabulary Words Using the Word Structure and Context
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    Chapter 39 A Wrapper Approach for Video Anomaly Detection Applying Light Gradient Boosting Machine in a Multiple Instance Learning Setting
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    Chapter 40 PAN RAM Bootstrapping Regressor - A New RAM-Based Architecture for Regression Problems
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    Chapter 41 ConveXplainer for Graph Neural Networks
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    Chapter 42 Extreme Learning Machine to Graph Convolutional Networks
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    Chapter 43 Sequence Labeling Algorithms for Punctuation Restoration in Brazilian Portuguese Texts
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    Chapter 44 Neural Architecture Search Applied to Hybrid Morphological Neural Networks
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    Chapter 45 Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks
Attention for Chapter 32: How Resilient Are Imitation Learning Methods to Sub-optimal Experts?
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Chapter title
How Resilient Are Imitation Learning Methods to Sub-optimal Experts?
Chapter number 32
Book title
Intelligent Systems
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-21689-3_32
Book ISBNs
978-3-03-121688-6, 978-3-03-121689-3
Authors

Gavenski, Nathan, Monteiro, Juarez, Medronha, Adilson, Barros, Rodrigo C.

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%