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Advances in Artificial Intelligence: From Theory to Practice

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Cover of 'Advances in Artificial Intelligence: From Theory to Practice'

Table of Contents

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    Book Overview
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    Chapter 1 Annotating Movement Phrases in Vietnamese Folk Dance Videos
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    Chapter 2 Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data
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    Chapter 3 Implementing a Tool for Translating Dance Notation to Display in 3D Animation: A Case Study of Traditional Thai Dance
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    Chapter 4 Dance Training Tool Using Kinect-Based Skeleton Tracking and Evaluating Dancer’s Performance
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    Chapter 5 Using Program by Demonstration and Visual Scripting to Supporting Game Design
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    Chapter 6 Presenting Mathematical Expression Images on Web to Support Mathematics Understanding
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    Chapter 7 Chiang Mai Digital Craft: A Case Study of Craftsmanship’s Knowledge Representation Using Digital Content Technology
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    Chapter 8 A Robust, Distributed Task Allocation Algorithm for Time-Critical, Multi Agent Systems Operating in Uncertain Environments
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    Chapter 9 An Efficient Probabilistic Merging Procedure Applied to Statistical Matching
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    Chapter 10 Interval-Based Possibilistic Logic in a Coherent Setting
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    Chapter 11 Conjunction and Disjunction Among Conditional Events
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    Chapter 12 A Gold Standards-Based Crowd Label Aggregation Within the Belief Function Theory
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    Chapter 13 Experimental Evaluation of the Understanding of Qualitative Probability and Probabilistic Reasoning in Young Children
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    Chapter 14 A Set-Valued Approach to Multiple Source Evidence
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    Chapter 15 On the Use of WalkSAT Based Algorithms for MLN Inference in Some Realistic Applications
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    Chapter 16 Applying Object-Oriented Bayesian Networks for Smart Diagnosis and Health Monitoring at both Component and Factory Level
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    Chapter 17 Graphical Representations of Multiple Agent Preferences
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    Chapter 18 A Probabilistic Relational Model Approach for Fault Tree Modeling
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    Chapter 19 Incremental Method for Learning Parameters in Evidential Networks
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    Chapter 20 aGrUM: A Graphical Universal Model Framework
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    Chapter 21 Improving Card Fraud Detection Through Suspicious Pattern Discovery
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    Chapter 22 Contextual Air Leakage Detection in Train Braking Pipes
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    Chapter 23 K-means Application for Anomaly Detection and Log Classification in HPC
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    Chapter 24 Information Quality in Social Networks: A Collaborative Method for Detecting Spam Tweets in Trending Topics
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    Chapter 25 Bayesian Model Averaging for Streamflow Prediction of Intermittent Rivers
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    Chapter 26 A Mixed Integer Programming Reformulation of the Mixed Fruit-Vegetable Crop Allocation Problem
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    Chapter 27 Data Collection and Analysis of Usages from Connected Objects: Some Lessons
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    Chapter 28 Assessing Nitrogen Nutrition in Corn Crops with Airborne Multispectral Sensors
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    Chapter 29 Multidimensional Analysis Through Argumentation?
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    Chapter 30 Combined Argumentation and Simulation to Support Decision
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    Chapter 31 Analysis of Medical Arguments from Patient Experiences Expressed on the Social Web
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    Chapter 32 A Dynamic Logic Framework for Abstract Argumentation: Adding and Removing Arguments
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    Chapter 33 Combining Answer Set Programming with Description Logics for Analogical Reasoning Under an Agent’s Preferences
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    Chapter 34 Modeling Data Access Legislation with Gorgias
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    Chapter 35 dARe – Using Argumentation to Explain Conclusions from a Controlled Natural Language Knowledge Base
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    Chapter 36 Exploring Parameter Tuning for Analysis and Optimization of a Computational Model
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    Chapter 37 Empirical Validation of a Computational Model of Influences on Physical Activity Behavior
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    Chapter 38 Detecting Drinking-Related Contents on Social Media by Classifying Heterogeneous Data Types
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    Chapter 39 Estimating Disease Burden Using Google Trends and Wikipedia Data
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    Chapter 40 Knowledge-Based Approach for Named Entity Recognition in Biomedical Literature: A Use Case in Biomedical Software Identification
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    Chapter 41 Interweaving Domain Knowledge and Unsupervised Learning for Psychiatric Stressor Extraction from Clinical Notes
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    Chapter 42 Active Learning for Text Mining from Crowds
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    Chapter 43 Chinese Lyrics Generation Using Long Short-Term Memory Neural Network
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    Chapter 44 CN-DBpedia: A Never-Ending Chinese Knowledge Extraction System
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    Chapter 45 Aspect-Based Rating Prediction on Reviews Using Sentiment Strength Analysis
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    Chapter 46 Using Topic Labels for Text Summarization
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    Chapter 47 Pair-Aware Neural Sentence Modeling for Implicit Discourse Relation Classification
Overall attention for this book and its chapters
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Mentioned by

11 tweeters
1 Facebook page

Readers on

88 Mendeley
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Advances in Artificial Intelligence: From Theory to Practice
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-60045-1
978-3-31-960044-4, 978-3-31-960045-1

Noor, K, Hunter, A, Mayer, A


Salem Benferhat, Karim Tabia, Moonis Ali

Twitter Demographics

The data shown below were collected from the profiles of 11 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 87 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Student > Master 17 19%
Student > Bachelor 12 14%
Researcher 8 9%
Student > Doctoral Student 5 6%
Other 13 15%
Unknown 13 15%
Readers by discipline Count As %
Computer Science 46 52%
Engineering 10 11%
Agricultural and Biological Sciences 3 3%
Social Sciences 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 9 10%
Unknown 15 17%