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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 A Cumulative Training Approach to Schistosomiasis Vector Density Prediction
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    Chapter 2 A Mobile and Evolving Tool to Predict Colorectal Cancer Survivability
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    Chapter 3 An Implementation of a Decision-Making Algorithm Based on a Novel Health Status Transition Model of Epilepsy
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    Chapter 4 Integrative Bioinformatic Analysis of a Greek Epidemiological Cohort Provides Insight into the Pathogenesis of Primary Cutaneous Melanoma
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    Chapter 5 Machine Learning Preprocessing Method for Suicide Prediction
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    Chapter 6 Using Frequent Fixed or Variable-Length POS Ngrams or Skip-Grams for Blog Authorship Attribution
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    Chapter 7 Increasing Diversity in Random Forests Using Naive Bayes
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    Chapter 8 Identifying Asperity Patterns Via Machine Learning Algorithms
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    Chapter 9 Combining Prototype Selection with Local Boosting
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    Chapter 10 Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images
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    Chapter 11 The eLOD Ontology: Modeling Economic Open Data
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    Chapter 12 Web Image Indexing Using WICE and a Learning-Free Language Model
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    Chapter 13 An Intelligent Internet Search Assistant Based on the Random Neural Network
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    Chapter 14 Deep Neural Networks for Web Page Information Extraction
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    Chapter 15 Modeling Beach Rotation Using a Novel Legendre Polynomial Feedforward Neural Network Trained by Nonlinear Constrained Optimization
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    Chapter 16 Environmental Impact on Predicting Olive Fruit Fly Population Using Trap Measurements
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    Chapter 17 A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices
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    Chapter 18 Applying Artificial Neural Networks to Short-Term PM2.5 Forecasting Modeling
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    Chapter 19 Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile
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    Chapter 20 Convolutive Audio Source Separation Using Robust ICA and Reduced Likelihood Ratio Jump
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    Chapter 21 Association Rules Mining by Improving the Imperialism Competitive Algorithm (ARMICA)
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    Chapter 22 Use of Flight Simulators in Analyzing Pilot Behavior
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    Chapter 23 Active Learning Algorithms for Multi-label Data
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    Chapter 24 Automated Determination of the Input Parameter of DBSCAN Based on Outlier Detection
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    Chapter 25 Exemplar Selection via Leave-One-Out Kernel Averaged Gradient Descent and Subtractive Clustering
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    Chapter 26 Design of an Advanced Smart Forum for Tesys e-Learning Platform
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    Chapter 27 Leaf Disease Recognition in Vine Plants Based on Local Binary Patterns and One Class Support Vector Machines
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    Chapter 28 Efficient Support Vector Machine Classification Using Prototype Selection and Generation
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    Chapter 29 MeLiF+: Optimization of Filter Ensemble Algorithm with Parallel Computing
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    Chapter 30 Genetic Search of Pickup and Delivery Problem Solutions for Self-driving Taxi Routing
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    Chapter 31 The Role of Emotions, Mood, Personality and Contagion in Multi-agent System Decision Making
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    Chapter 32 A Controller for Improving Lateral Stability in a Dynamically Stable Gait
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    Chapter 33 Scaled Conjugate Gradient Based Adaptive ANN Control for SVM-DTC Induction Motor Drive
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    Chapter 34 Introducing Chemotaxis to a Mobile Robot
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    Chapter 35 Malware Detection with Confidence Guarantees on Android Devices
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    Chapter 36 Auto Regressive Dynamic Bayesian Network and Its Application in Stock Market Inference
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    Chapter 37 A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service “Taking Listener’s Brainwaves to Extremes”
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    Chapter 38 Information Abstraction from Crises Related Tweets Using Recurrent Neural Network
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    Chapter 39 A Scalable Grid Computing Framework for Extensible Phylogenetic Profile Construction
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    Chapter 40 Community Detection of Screenplay Characters
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    Chapter 41 Customer Behaviour Analysis for Recommendation of Supermarket Ware
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    Chapter 42 Dealing with High Dimensional Sentiment Data Using Gradient Boosting Machines
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    Chapter 43 Discovering Areas of Interest Using a Semantic Geo-Clustering Approach
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    Chapter 44 Diversifying the Legal Order
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    Chapter 45 Efficient Computation of Clustered-Clumps in Degenerate Strings
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    Chapter 46 Learning and Blending Harmonies in the Context of a Melodic Harmonisation Assistant
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    Chapter 47 Lyrics Mining for Music Meta-Data Estimation
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    Chapter 48 Mining Domain-Specific Design Patterns
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    Chapter 49 Modelling Cadence Perception Via Musical Parameter Tuning to Perceptual Data
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    Chapter 50 Musical Track Popularity Mining Dataset
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    Chapter 51 On the Computational Prediction of miRNA Promoters
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    Chapter 52 Building Multi-occupancy Analysis and Visualization Through Data Intensive Processing
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    Chapter 53 Discovering the Discriminating Power in Patient Test Features Using Visual Analytics: A Case Study in Parkinson’s Disease
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    Chapter 54 ERMIS: Extracting Knowledge from Unstructured Big Data for Supporting Business Decision Making
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    Chapter 55 Superclusteroid 2.0: A Web Tool for Processing Big Biological Networks
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    Chapter 56 Systematic Mapping Study on Performance Scalability in Big Data on Cloud Using VM and Container
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    Chapter 57 Ineffective Efforts in ICU Assisted Ventilation: Feature Extraction and Analysis Platform
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    Chapter 58 Security Analysis of Mobile Edge Computing in Virtualized Small Cell Networks
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    Chapter 59 A Model for an Innovative 5G-Oriented Architecture, Based on Small Cells Coordination for Multi-tenancy and Edge Services
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    Chapter 60 Network Architecture and Essential Features for 5G: The SESAME Project Approach
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    Chapter 61 On Learning Mobility Patterns in Cellular Networks
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    Chapter 62 Design of Cognitive Cycles in 5G Networks
Attention for Chapter 38: Information Abstraction from Crises Related Tweets Using Recurrent Neural Network
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Chapter title
Information Abstraction from Crises Related Tweets Using Recurrent Neural Network
Chapter number 38
Book title
Artificial Intelligence Applications and Innovations
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-44944-9_38
Book ISBNs
978-3-31-944943-2, 978-3-31-944944-9
Authors

Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo

Editors

Lazaros Iliadis, Ilias Maglogiannis

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X Demographics

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 42%
Student > Doctoral Student 1 8%
Librarian 1 8%
Professor 1 8%
Researcher 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Computer Science 3 25%
Medicine and Dentistry 2 17%
Agricultural and Biological Sciences 1 8%
Environmental Science 1 8%
Design 1 8%
Other 0 0%
Unknown 4 33%