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AI 2016: Advances in Artificial Intelligence

Overview of attention for book
Cover of 'AI 2016: Advances in Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Lifted Backward Search for General Game Playing
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    Chapter 2 Corrupt Strategic Argumentation: The Ideal and the Naive
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    Chapter 3 Adaptive Multiagent Reinforcement Learning with Non-positive Regret
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    Chapter 4 Composability in Cognitive Hierarchies
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    Chapter 5 Enable Efficient Resource Deployment in Multiple Concurrent Emergency Events Through a Decentralised MAS
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    Chapter 6 Forecasting Monthly Rainfall in the Western Australian Wheat-Belt up to 18-Months in Advance Using Artificial Neural Networks
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    Chapter 7 Forecasting Monthly Rainfall in the Bowen Basin of Queensland, Australia, Using Neural Networks with Niño Indices
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    Chapter 8 A Cluster Analysis of Stock Market Data Using Hierarchical SOMs
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    Chapter 9 A Generative Deep Learning for Generating Korean Abbreviations
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    Chapter 10 Medical Prognosis Generation from General Blood Test Results Using Knowledge-Based and Machine-Learning-Based Approaches
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    Chapter 11 Deep Learning for Classification of Malware System Call Sequences
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    Chapter 12 Similarity Matching of Computer Science Unit Outlines in Higher Education
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    Chapter 13 Parallel Late Acceptance Hill-Climbing Algorithm for the Google Machine Reassignment Problem
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    Chapter 14 Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers
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    Chapter 15 Visual Odometry in Dynamic Environments with Geometric Multi-layer Optimisation
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    Chapter 16 High Resolution SOM Approach to Improving Anomaly Detection in Intrusion Detection Systems
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    Chapter 17 CPF: Concept Profiling Framework for Recurring Drifts in Data Streams
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    Chapter 18 Meta-mining Evaluation Framework: A Large Scale Proof of Concept on Meta-learning
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    Chapter 19 Bayesian Grouped Horseshoe Regression with Application to Additive Models
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    Chapter 20 Improving and Extending the HV4D Algorithm for Calculating Hypervolume Exactly
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    Chapter 21 Local Search for Maximum Vertex Weight Clique on Large Sparse Graphs with Efficient Data Structures
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    Chapter 22 Cascade Bayesian Optimization
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    Chapter 23 Assignment Precipitation in Fail First Search
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    Chapter 24 Update Policies
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    Chapter 25 Utilization of DBpedia Mapping in Cross Lingual Wikipedia Infobox Completion
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    Chapter 26 A Multi-linguistic-Valued Modal Logic
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    Chapter 27 An Empirical Study of a Simple Naive Bayes Classifier Based on Ranking Functions
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    Chapter 28 Cognitive-Task-Based Information Aid Design for Clinical Diagnosis
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    Chapter 29 Domain Ontology Construction Using Web Usage Data
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    Chapter 30 Learning Functional Argument Mappings for Hierarchical Tasks from Situation Specific Explanations
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    Chapter 31 Ontology Based Data Access with Referring Expressions for Logics with the Tree Model Property
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    Chapter 32 Artificial Prediction Markets for Clustering
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    Chapter 33 Transfer Learning in Probabilistic Logic Models
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    Chapter 34 Co-clustering for Dual Topic Models
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    Chapter 35 Optimization of Traffic Signals Using Deep Learning Neural Networks
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    Chapter 36 An Online Competence-Based Concept Drift Detection Algorithm
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    Chapter 37 Bayesian Robust Regression with the Horseshoe+ Estimator
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    Chapter 38 High Resolution Self-organizing Maps
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    Chapter 39 Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious
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    Chapter 40 Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection
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    Chapter 41 Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Sampling
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    Chapter 42 Kernel Embeddings of Longitudinal Data
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    Chapter 43 Visual Analytical Tool for Higher Order k-Means Clustering for Trajectory Data Mining
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    Chapter 44 A Framework for Mining Semantic-Level Tourist Movement Behaviours from Geo-tagged Photos
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    Chapter 45 Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis
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    Chapter 46 Artificial Neural Network: Deep or Broad? An Empirical Study
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    Chapter 47 An Empirically-Sourced Heuristic for Predetermining the Size of the Hidden Layer of a Multi-layer Perceptron for Large Datasets
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    Chapter 48 Distributed Genetic Algorithm on GraphX
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    Chapter 49 Restricted Echo State Networks
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    Chapter 50 Feature-Aware Factorised Collaborative Filtering
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    Chapter 51 Mining Context Specific Inter-personalised Trust for Recommendation Generation in Preference Networks
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    Chapter 52 Proactive Skill Posting in Referral Networks
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    Chapter 53 Comprehensive Influence Propagation Modelling for Hybrid Social Network
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    Chapter 54 Multi-agent Planning with Collaborative Actions
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    Chapter 55 Open-Domain Question Answering Framework Using Wikipedia
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    Chapter 56 Predicting the Rank of Trending Topics
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    Chapter 57 A Topic Transition Map for Query Expansion: A Semantic Analysis of Click-Through Data and Test Collections
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    Chapter 58 Unsupervised Keyphrase Extraction: Introducing New Kinds of Words to Keyphrases
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    Chapter 59 Shaping Interactive Marketing Communication (IMC) Through Social Media Analytics and Modelling
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    Chapter 60 Ingenious Product Form Co-design System for the Industry 4.0
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    Chapter 61 Data Lifecycle and Tagging for Internet of Things Applications
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    Chapter 62 A Content-Based Routing Scheme for Mobile Data Offloading in Pocket Switched Networks
  64. Altmetric Badge
    Chapter 63 Exploring the Use of Big Data Analytics for Improving Support to Students in Higher Education
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    Chapter 64 DataCon: Easier Data Sharing, Exploration, and Fusion with Automatic Metadata Generation
  66. Altmetric Badge
    Chapter 65 An Empirical Evaluation of Job Classification Using Online Job Advertisements
  67. Altmetric Badge
    Chapter 66 Robust Text Detection in Natural Scene Images
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
3 blogs
twitter
13 X users
patent
2 patents
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
33 Mendeley
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Title
AI 2016: Advances in Artificial Intelligence
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-50127-7
ISBNs
978-3-31-950126-0, 978-3-31-950127-7
Editors

Byeong Ho Kang, Quan Bai

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 27%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Lecturer 2 6%
Student > Ph. D. Student 1 3%
Other 3 9%
Unknown 13 39%
Readers by discipline Count As %
Computer Science 14 42%
Engineering 2 6%
Business, Management and Accounting 1 3%
Social Sciences 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 14 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 March 2024.
All research outputs
#1,096,071
of 25,460,285 outputs
Outputs from Lecture notes in computer science
#129
of 8,163 outputs
Outputs of similar age
#18,730
of 400,248 outputs
Outputs of similar age from Lecture notes in computer science
#36
of 582 outputs
Altmetric has tracked 25,460,285 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 400,248 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.