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Advances in Artificial Intelligence and Its Applications

Overview of attention for book
Cover of 'Advances in Artificial Intelligence and Its Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Some Properties of Logic N-GLukG
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    Chapter 2 Advances in Artificial Intelligence and Its Applications
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    Chapter 3 Advances in Artificial Intelligence and Its Applications
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    Chapter 4 Dalal’s Revision without Hamming Distance
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    Chapter 5 Default Assumptions and Selection Functions: A Generic Framework for Non-monotonic Logics
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    Chapter 6 Soft Constraints for Lexicographic Orders
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    Chapter 7 Expressive Reasoning on Tree Structures: Recursion, Inverse Programs, Presburger Constraints and Nominals
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    Chapter 8 Completion-Based Automated Theory Exploration
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    Chapter 9 Possibilistic Minimal Models for Possibilistic Normal Programs
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    Chapter 10 Estimating the Number of Test Cases for Active Rule Validation
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    Chapter 11 A Dynamic Multi-Expert Multi-Criteria Decision Making Model for Risk Analysis
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    Chapter 12 An Architecture for Cognitive Modeling to Support Real-Time Adaptation and Motivational Responses in Video Games
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    Chapter 13 Semantic Representation of CAD Models Based on the IGES Standard
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    Chapter 14 Complexity of Verification of Fuzzy Multi-Agent Systems
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    Chapter 15 Using Activity Theory and Causal Diagrams for Designing MultiAgent Systems That Assist Human Activities
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    Chapter 16 Challenges in Ontology Alignment and Solution to the Contradictory Evidence Problem
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    Chapter 17 Simple Window Selection Strategies for the Simplified Lesk Algorithm for Word Sense Disambiguation
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    Chapter 18 Disambiguating Wikipedia Articles on the Basis of plWordNet Lexico-semantic Relations
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    Chapter 19 Recognising Compositionality of Multi-Word Expressions in the Wordnet Oriented Perspective
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    Chapter 20 Automatic Processing of Linguistic Data as a Feedback for Linguistic Theory
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    Chapter 21 Interval Semi-supervised LDA: Classifying Needles in a Haystack
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    Chapter 22 A Reverse Dictionary Based on Semantic Analysis Using WordNet
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    Chapter 23 Applying Rogerian Psychologist in Human-Computer Interaction: A Case Study
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    Chapter 24 HuLaPos 2.0 – Decoding Morphology
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    Chapter 25 Hybrid Text Segmentation for Hungarian Clinical Records
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    Chapter 26 Detection and Expansion of Abbreviations in Hungarian Clinical Notes
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    Chapter 27 Composite Event Indicator Processing in Event Extraction for Non-configurational Language
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    Chapter 28 Exploration of a Rich Feature Set for Automatic Term Extraction
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    Chapter 29 A Pseudo-Relevance Feedback Based Method to Find Comprehensive Web Documents
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    Chapter 30 Enhancing Sentence Ordering by Hierarchical Topic Modeling for Multi-document Summarization
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    Chapter 31 An Enhanced Arabic OCR Degraded Text Retrieval Model
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    Chapter 32 ELEXR: Automatic Evaluation of Machine Translation Using Lexical Relationships
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    Chapter 33 Modeling Persian Verb Morphology to Improve English-Persian Machine Translation
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    Chapter 34 An XML Based TBX Framework to Represent Multilingual SNOMED CT for Translation
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    Chapter 35 The Twin Hypotheses
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    Chapter 36 Predicting Metabolic Syndrome with Neural Networks
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    Chapter 37 Homogeneous Population Solving the Minimal Perturbation Problem in Dynamic Scheduling of Surgeries
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    Chapter 38 CUP Classification Based on a Tree Structure with MiRNA Feature Selection
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    Chapter 39 Machine Learning Techniques Applied to the Cleavage Site Prediction Problem
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    Chapter 40 Human Heart Segmentation Based on Differential Evolution and Active Contours with Shape Prior
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    Chapter 41 Detection of Human Retina Images Suspect of Glaucoma through the Vascular Bundle Displacement in the Optic Disc
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    Chapter 42 Blood Vessel Segmentation in Retinal Images Using Lattice Neural Networks
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    Chapter 43 A Bayesian and Minimum Variance Technique for Arterial Lumen Segmentation in Ultrasound Imaging
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    Chapter 44 Detection of Masses in Mammogram Images Using Morphological Operators and Markov Random Fields
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    Chapter 45 A New Collection of Preprocessed Digital Mammograms
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
3 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
71 Mendeley
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Title
Advances in Artificial Intelligence and Its Applications
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-45114-0
ISBNs
978-3-64-245113-3, 978-3-64-245114-0
Authors

Félix Castro, Alexander Gelbukh, Miguel González

Editors

Félix Castro, Alexander Gelbukh, Miguel González

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ecuador 1 1%
Slovakia 1 1%
Brazil 1 1%
Unknown 68 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 20%
Researcher 12 17%
Student > Bachelor 10 14%
Student > Ph. D. Student 9 13%
Student > Doctoral Student 7 10%
Other 11 15%
Unknown 8 11%
Readers by discipline Count As %
Computer Science 31 44%
Engineering 11 15%
Social Sciences 6 8%
Linguistics 2 3%
Agricultural and Biological Sciences 2 3%
Other 7 10%
Unknown 12 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 January 2019.
All research outputs
#4,903,740
of 23,567,572 outputs
Outputs from Lecture notes in computer science
#1,584
of 8,153 outputs
Outputs of similar age
#51,798
of 284,632 outputs
Outputs of similar age from Lecture notes in computer science
#62
of 318 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 79% 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 284,632 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.