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Artificial Intelligence Applications and Innovations

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Cover of 'Artificial Intelligence Applications and Innovations'

Table of Contents

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    Book Overview
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    Chapter 1 The Power of the “Pursuit” Learning Paradigm in the Partitioning of Data
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    Chapter 2 Cyber-Typhon: An Online Multi-task Anomaly Detection Framework
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    Chapter 3 Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme
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    Chapter 4 The Blockchain Random Neural Network in Cybersecurity and the Internet of Things
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    Chapter 5 A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios
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    Chapter 6 An LGMD Based Competitive Collision Avoidance Strategy for UAV
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    Chapter 7 Mixture Modules Based Intelligent Control System for Autonomous Driving
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    Chapter 8 An Adaptive Temporal-Causal Network Model for Stress Extinction Using Fluoxetine
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    Chapter 9 Clustering Diagnostic Profiles of Patients
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    Chapter 10 Emotion Analysis in Hospital Bedside Infotainment Platforms Using Speeded up Robust Features
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    Chapter 11 FISUL: A Framework for Detecting Adverse Drug Events from Heterogeneous Medical Sources Using Feature Importance
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    Chapter 12 A New Topology-Preserving Distance Metric with Applications to Multi-dimensional Data Clustering
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    Chapter 13 Classification of Incomplete Data Using Autoencoder and Evidential Reasoning
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    Chapter 14 Dynamic Reliable Voting in Ensemble Learning
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    Chapter 15 Extracting Action Sensitive Features to Facilitate Weakly-Supervised Action Localization
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    Chapter 16 Image Recognition Based on Combined Filters with Pseudoinverse Learning Algorithm
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    Chapter 17 Design-Parameters Optimization of a Deep-Groove Ball Bearing for Different Boundary Dimensions, Employing Amended Differential Evolution Algorithm
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    Chapter 18 Exploring Brain Effective Connectivity in Visual Perception Using a Hierarchical Correlation Network
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    Chapter 19 Solving the Talent Scheduling Problem by Parallel Constraint Programming
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    Chapter 20 A Deep Reinforcement Learning Approach for Automated Cryptocurrency Trading
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    Chapter 21 Capacity Requirements Planning for Production Companies Using Deep Reinforcement Learning
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    Chapter 22 Comparison of Neural Network Optimizers for Relative Ranking Retention Between Neural Architectures
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    Chapter 23 Detecting Violent Robberies in CCTV Videos Using Deep Learning
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    Chapter 24 Diversity Regularized Adversarial Deep Learning
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    Chapter 25 Interpretability of a Deep Learning Model for Rodents Brain Semantic Segmentation
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    Chapter 26 Learning and Detecting Stuttering Disorders
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    Chapter 27 Localization of Epileptic Foci by Using Convolutional Neural Network Based on iEEG
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    Chapter 28 Review Spam Detection Using Word Embeddings and Deep Neural Networks
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    Chapter 29 Tools for Semi-automatic Preparation of Training Data for OCR
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    Chapter 30 Training Strategies for OCR Systems for Historical Documents
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    Chapter 31 A Review on the Application of Deep Learning in Legal Domain
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    Chapter 32 Long-Short Term Memory for an Effective Short-Term Weather Forecasting Model Using Surface Weather Data
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    Chapter 33 Segmentation Methods for Image Classification Using a Convolutional Neural Network on AR-Sandbox
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    Chapter 34 A Hybrid Model Based on Fuzzy Rules to Act on the Diagnosed of Autism in Adults
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    Chapter 35 An Unsupervised Fuzzy Rule-Based Method for Structure Preserving Dimensionality Reduction with Prediction Ability
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    Chapter 36 Interpretable Fuzzy Rule-Based Systems for Detecting Financial Statement Fraud
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    Chapter 37 Learning Automata-Based Solutions to the Single Elevator Problem
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    Chapter 38 Optimizing Self-organizing Lists-on-Lists Using Enhanced Object Partitioning
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    Chapter 39 EduBAI: An Educational Platform for Logic-Based Reasoning
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    Chapter 40 A Machine Learning Tool for Interpreting Differences in Cognition Using Brain Features
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    Chapter 41 Comparison of the Best Parameter Settings in the Creation and Comparison of Feature Vectors in Distributional Semantic Models Across Multiple Languages
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    Chapter 42 Distributed Community Prediction for Social Graphs Based on Louvain Algorithm
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    Chapter 43 Iliou Machine Learning Data Preprocessing Method for Suicide Prediction from Family History
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    Chapter 44 Ontology Population Framework of MAGNETO for Instantiating Heterogeneous Forensic Data Modalities
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    Chapter 45 Random Forest Surrogate Models to Support Design Space Exploration in Aerospace Use-Case
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    Chapter 46 Stacking Strong Ensembles of Classifiers
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    Chapter 47 An Agent-Based Framework for Complex Networks
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    Chapter 48 Studying Emotions at Work Using Agent-Based Modeling and Simulation
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    Chapter 49 Towards an Adaption and Personalisation Solution Based on Multi Agent System Applied on Serious Games
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    Chapter 50 Constant Angular Velocity Regulation for Visually Guided Terrain Following
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    Chapter 51 Motion Segmentation Based on Structure-Texture Decomposition and Improved Three Frame Differencing
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    Chapter 52 Using Shallow Neural Network Fitting Technique to Improve Calibration Accuracy of Modeless Robots
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    Chapter 53 Banner Personalization for e-Commerce
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    Chapter 54 Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms
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    Chapter 55 MuSIF: A Product Recommendation System Based on Multi-source Implicit Feedback
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    Chapter 56 On the Invariance of the SELU Activation Function on Algorithm and Hyperparameter Selection in Neural Network Recommenders
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Title
Artificial Intelligence Applications and Innovations
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-19823-7
ISBNs
978-3-03-019822-0, 978-3-03-019823-7
Editors

John MacIntyre, Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Student > Bachelor 5 38%
Researcher 4 31%
Other 1 8%
Readers by discipline Count As %
Computer Science 9 69%
Engineering 2 15%
Economics, Econometrics and Finance 2 15%
Agricultural and Biological Sciences 1 8%
Business, Management and Accounting 1 8%
Other 0 0%