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Intelligent Data Engineering and Automated Learning – IDEAL 2018

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Cover of 'Intelligent Data Engineering and Automated Learning – IDEAL 2018'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Compound Local Binary Pattern and Enhanced Jaya Optimized Extreme Learning Machine for Digital Mammogram Classification
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    Chapter 2 Support Vector Machine Based Method for High Impedance Fault Diagnosis in Power Distribution Networks
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    Chapter 3 Extended Min-Hash Focusing on Intersection Cardinality
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    Chapter 4 Deep-Learning-Based Classification of Rat OCT Images After Intravitreal Injection of ET-1 for Glaucoma Understanding
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    Chapter 5 Finding the Importance of Facial Features in Social Trait Perception
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    Chapter 6 Effective Centralized Trust Management Model for Internet of Things
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    Chapter 7 Knowledge-Based Solution Construction for Evolutionary Minimization of Systemic Risk
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    Chapter 8 Handwritten Character Recognition Using Active Semi-supervised Learning
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    Chapter 9 Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes
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    Chapter 10 Predicting Wind Energy Generation with Recurrent Neural Networks
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    Chapter 11 Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation
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    Chapter 12 Exploring Online Novelty Detection Using First Story Detection Models
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    Chapter 13 A Fast Metropolis-Hastings Method for Generating Random Correlation Matrices
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    Chapter 14 Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
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    Chapter 15 General Structure Preserving Network Embedding
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    Chapter 16 Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
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    Chapter 17 Anomaly Detection in Spatial Layer Models of Autonomous Agents
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    Chapter 18 Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage
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    Chapter 19 Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
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    Chapter 20 MapReduce Model for Random Forest Algorithm: Experimental Studies
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    Chapter 21 Specifics Analysis of Medical Communities in Social Network Services
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    Chapter 22 PostProcessing in Constrained Role Mining
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    Chapter 23 Linguistic Features to Identify Extreme Opinions: An Empirical Study
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    Chapter 24 Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models
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    Chapter 25 Understanding Learner’s Drop-Out in MOOCs
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    Chapter 26 Categorical Big Data Processing
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    Chapter 27 Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction
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    Chapter 28 Exploring the Perceived Usefulness and Attitude Towards Using Tesys e-Learning Platform
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    Chapter 29 An ELM Based Regression Model for ECG Artifact Minimization from Single Channel EEG
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    Chapter 30 Suggesting Cooking Recipes Through Simulation and Bayesian Optimization
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    Chapter 31 Assessment and Adaption of Pattern Discovery Approaches for Time Series Under the Requirement of Time Warping
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    Chapter 32 Machine Learning Methods Based Preprocessing to Improve Categorical Data Classification
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    Chapter 33 Crossover Operator Using Knowledge Transfer for the Firefighter Problem
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    Chapter 34 Exploring Coclustering for Serendipity Improvement in Content-Based Recommendation
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    Chapter 35 Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods
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    Chapter 36 On Application of Learning to Rank for Assets Management: Warehouses Ranking
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    Chapter 37 Single-Class Bankruptcy Prediction Based on the Data from Annual Reports
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    Chapter 38 Multi-dimensional Bayesian Network Classifier Trees
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    Chapter 39 Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms
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    Chapter 40 Chatbot Theory
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    Chapter 41 An Adaptive Anomaly Detection Algorithm for Periodic Data Streams
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    Chapter 42 Semantic WordRank: Generating Finer Single-Document Summarizations
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    Chapter 43 Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems
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    Chapter 44 Improving the Decision Support in Diagnostic Systems Using Classifier Probability Calibration
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    Chapter 45 Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset
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    Chapter 46 A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders
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    Chapter 47 An Approximation to Deep Learning Touristic-Related Time Series Forecasting
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    Chapter 48 CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network
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    Chapter 49 Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency
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    Chapter 50 Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks
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    Chapter 51 Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks
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    Chapter 52 Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model
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    Chapter 53 Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
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    Chapter 54 Intelligent Wristbands for the Automatic Detection of Emotional States for the Elderly
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    Chapter 55 Applying Cost-Sensitive Classifiers with Reinforcement Learning to IDS
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    Chapter 56 ATM Fraud Detection Using Outlier Detection
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    Chapter 57 Machine Learning for Drugs Prescription
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    Chapter 58 Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets
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    Chapter 59 Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis
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    Chapter 60 ALoT: A Time-Series Similarity Measure Based on Alignment of Textures
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    Chapter 61 Intelligent Agents in a Blockchain-Based Electronic Voting System
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    Chapter 62 Signal Reconstruction Using Evolvable Recurrent Neural Networks
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    Chapter 63 A Cluster-Based Prototype Reduction for Online Classification
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    Chapter 64 Reusable Big Data System for Industrial Data Mining - A Case Study on Anomaly Detection in Chemical Plants
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    Chapter 65 Unsupervised Domain Adaptation for Human Activity Recognition
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    Chapter 66 Data Set Partitioning in Evolutionary Instance Selection
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    Chapter 67 Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques
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    Chapter 68 Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning
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    Chapter 69 Generalized Low-Computational Cost Laplacian Eigenmaps
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    Chapter 70 Optimally Selected Minimal Learning Machine
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    Chapter 71 Neural Collaborative Filtering: Hybrid Recommendation Algorithm with Content Information and Implicit Feedback
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    Chapter 72 Overlap-Based Undersampling for Improving Imbalanced Data Classification
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    Chapter 73 Predicting Online Review Scores Across Reviewer Categories
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    Chapter 74 Improving SeNA-CNN by Automating Task Recognition
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    Chapter 75 Communication Skills Personal Trainer Based on Viola-Jones Object Detection Algorithm
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    Chapter 76 Optimizing Meta-heuristics for the Time-Dependent TSP Applied to Air Travels
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    Chapter 77 Compositional Stochastic Average Gradient for Machine Learning and Related Applications
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    Chapter 78 Instance-Based Stacked Generalization for Transfer Learning
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    Chapter 79 Combined Classifier Based on Quantized Subspace Class Distribution
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    Chapter 80 A Framework for Form Applications that Use Machine Learning
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    Chapter 81 CGLAD: Using GLAD in Crowdsourced Large Datasets
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    Chapter 82 Extending Independent Component Analysis for Event Detection on Online Social Media
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    Chapter 83 Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics
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    Chapter 84 New Fuzzy Singleton Distance Measurement by Convolution
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    Chapter 85 Peak Alpha Based Neurofeedback Training Within Survival Shooter Game
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    Chapter 86 Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System
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    Chapter 87 Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks
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    Chapter 88 Deep Neural Networks with Markov Random Field Models for Image Classification
Attention for Chapter 18: Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage
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Chapter title
Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage
Chapter number 18
Book title
Intelligent Data Engineering and Automated Learning – IDEAL 2018
Published in
Intelligent Data Engineering and Automated Learning – IDEAL 2018, November 2018
DOI 10.1007/978-3-030-03493-1_18
Book ISBNs
978-3-03-003492-4, 978-3-03-003493-1
Authors

Cristiana Silva, Adrián Colomer, Valery Naranjo, Silva, Cristiana, Colomer, Adrián, Naranjo Ornedo, Valeriana, Naranjo, Valery

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Student > Doctoral Student 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 3 50%
Unknown 3 50%

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