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Intelligent Data Engineering and Automated Learning – IDEAL 2019

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Intelligent Data Engineering and Automated Learning – IDEAL 2019
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Orchids Classification Using Spatial Transformer Network with Adaptive Scaling
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    Chapter 2 Scalable Dictionary Classifiers for Time Series Classification
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    Chapter 3 Optimization of the Numeric and Categorical Attribute Weights in KAMILA Mixed Data Clustering Algorithm
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    Chapter 4 Meaningful Data Sampling for a Faithful Local Explanation Method
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    Chapter 5 Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor
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    Chapter 6 Adaptive Orthogonal Characteristics of Bio-inspired Neural Networks
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    Chapter 7 Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion
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    Chapter 8 Modeling Data Driven Interactions on Property Graph
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    Chapter 9 Adaptive Dimensionality Adjustment for Online “Principal Component Analysis”
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    Chapter 10 Relevance Metric for Counterfactuals Selection in Decision Trees
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    Chapter 11 Weighted Nearest Centroid Neighbourhood
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    Chapter 12 The Prevalence of Errors in Machine Learning Experiments
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    Chapter 13 A Hybrid Model for Fraud Detection on Purchase Orders
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    Chapter 14 Users Intention Based on Twitter Features Using Text Analytics
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    Chapter 15 Mixing Hetero- and Homogeneous Models in Weighted Ensembles
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    Chapter 16 A Hybrid Approach to Time Series Classification with Shapelets
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    Chapter 17 An Ensemble Algorithm Based on Deep Learning for Tuberculosis Classification
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    Chapter 18 A Data-Driven Approach to Automatic Extraction of Professional Figure Profiles from Résumés
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    Chapter 19 Retrieving and Processing Information from Clinical Algorithm via Formal Concept Analysis
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    Chapter 20 Comparative Analysis of Approaches to Building Medical Dialog Systems in Russian
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    Chapter 21 Tracking Position and Status of Electric Control Switches Based on YOLO Detector
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    Chapter 22 A Self-generating Prototype Method Based on Information Entropy Used for Condensing Data in Classification Tasks
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    Chapter 23 Transfer Knowledge Between Sub-regions for Traffic Prediction Using Deep Learning Method
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    Chapter 24 Global Q-Learning Approach for Power Allocation in Femtocell Networks
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    Chapter 25 Deep Learning and Sensor Fusion Methods for Studying Gait Changes Under Cognitive Load in Males and Females
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    Chapter 26 Towards a Robotic Personal Trainer for the Elderly
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    Chapter 27 Image Quality Constrained GAN for Super-Resolution
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    Chapter 28 Use Case Prediction Using Product Reviews Text Classification
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    Chapter 29 Convolutional Neural Network for Core Sections Identification in Scientific Research Publications
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    Chapter 30 Knowledge Inference Through Analysis of Human Activities
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    Chapter 31 Representation Learning of Knowledge Graphs with Multi-scale Capsule Network
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    Chapter 32 CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning
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    Chapter 33 A Multimodal Approach to Image Sentiment Analysis
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    Chapter 34 Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering
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    Chapter 35 Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data
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    Chapter 36 Toward a Framework for Seasonal Time Series Forecasting Using Clustering
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    Chapter 37 An Evidential Imprecise Answer Aggregation Approach Based on Worker Clustering
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    Chapter 38 Combining Machine Learning and Classical Optimization Techniques in Vehicle to Vehicle Communication Network
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    Chapter 39 Adversarial Edit Attacks for Tree Data
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    Chapter 40 Non-stationary Noise Cancellation Using Deep Autoencoder Based on Adversarial Learning
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    Chapter 41 A Deep Learning-Based Surface Defect Inspection System for Smartphone Glass
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    Chapter 42 Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach
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    Chapter 43 Active Dataset Generation for Meta-learning System Quality Improvement
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    Chapter 44 Do You Really Follow Them? Automatic Detection of Credulous Twitter Users
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    Chapter 45 User Localization Based on Call Detail Record
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    Chapter 46 Automatic Ground Truth Dataset Creation for Fake News Detection in Social Media
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    Chapter 47 Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment
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    Chapter 48 A Significantly Faster Elastic-Ensemble for Time-Series Classification
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    Chapter 49 ALIME: Autoencoder Based Approach for Local Interpretability
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    Chapter 50 Detection of Abnormal Load Consumption in the Power Grid Using Clustering and Statistical Analysis
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    Chapter 51 Deep Convolutional Neural Networks Based on Image Data Augmentation for Visual Object Recognition
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    Chapter 52 An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition
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    Chapter 53 A Novel Recommendation System for Next Feature in Software
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    Chapter 54 Meta-learning Based Evolutionary Clustering Algorithm
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    Chapter 55 Fast Tree-Based Classification via Homogeneous Clustering
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    Chapter 56 Ordinal Equivalence Classes for Parallel Coordinates
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    Chapter 57 New Internal Clustering Evaluation Index Based on Line Segments
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    Chapter 58 Threat Identification in Humanitarian Demining Using Machine Learning and Spectroscopic Metal Detection
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