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Advances in Artificial Intelligence

Overview of attention for book
Cover of 'Advances in Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Empirical Study of Machine Learning Based Approach for Opinion Mining in Tweets
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    Chapter 2 An Empirical Evaluation of Different Initializations on the Number of K-Means Iterations
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    Chapter 3 Intelligent Feature and Instance Selection to Improve Nearest Neighbor Classifiers
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    Chapter 4 A Method for Building Prototypes in the Nearest Prototype Approach Based on Similarity Relations for Problems of Function Approximation
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    Chapter 5 A Diversity Production Approach in Ensemble of Base Classifiers
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    Chapter 6 A New Overlapping Clustering Algorithm Based on Graph Theory
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    Chapter 7 Fuzzy Clustering for Semi-supervised Learning – Case Study: Construction of an Emotion Lexicon
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    Chapter 8 Statistical Framework for Facial Pose Classification
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    Chapter 9 Forecast of Air Quality Based on Ozone by Decision Trees and Neural Networks
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    Chapter 10 Automatic Discovery of Web Content Related to IT in the Mexican Internet Based on Supervised Classifiers
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    Chapter 11 Automatic Monitoring the Content of Audio Broadcasted by Internet Radio Stations
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    Chapter 12 Using Hidden Markov Model and Dempster-Shafer Theory for Evaluating and Detecting Dangerous Situations in Level Crossing Environments
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    Chapter 13 Local Features Classification for Adaptive Tracking
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    Chapter 14 Two Adaptive Methods Based on Edge Analysis for Improved Concealing Damaged Coded Images in Critical Error Situations
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    Chapter 15 Phase Correlation Based Image Alignment with Subpixel Accuracy
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    Chapter 16 A Novel Encryption Method with Associative Approach for Gray-Scale Images
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    Chapter 17 FPGA-Based Architecture for Extended Associative Memories and Its Application in Image Recognition
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    Chapter 18 Salient Features Selection for Multiclass Texture Classification
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    Chapter 19 Robotic Behavior Implementation Using Two Different Differential Evolution Variants
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    Chapter 20 Robust Visual Localization of a Humanoid Robot in a Symmetric Space
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    Chapter 21 DeWaLoP In-Pipe Robot Position from Visual Patterns
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    Chapter 22 Electric Vehicle Automation through a Distributed Control System for Search and Rescue Operations
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    Chapter 23 Determination of the Instantaneous Initial Contact Point on a Parallel Gripper Using a Multi Input Fuzzy Rules Emulated Network Controller with Feedback from Ultrasonic and Force Sensors
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    Chapter 24 Integration of Directional Smell Sense on an UGV
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    Chapter 25 Automatic 3D City Reconstruction Platform Using a LIDAR and DGPS
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    Chapter 26 Towards the Creation of Semantic Models Based on Computer-Aided Designs
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    Chapter 27 Process of Concept Alignment for Interoperability between Heterogeneous Sources
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    Chapter 28 A Defeasible Logic of Intention
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    Chapter 29 Towards Computational Political Philosophy
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    Chapter 30 Exploring the Solution of Course Timetabling Problems through Heuristic Segmentation
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    Chapter 31 Verifying Nested Workflows with Extra Constraints
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    Chapter 32 Shortest Stochastic Path with Risk Sensitive Evaluation
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    Chapter 33 Forward and Backward Feature Selection in Gradient-Based MDP Algorithms
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    Chapter 34 AI Based Fall Management Services – The Role of the i-Walker in I-DONTFALL
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    Chapter 35 Performance Evaluation of Ranking Methods for Relevant Gene Selection in Cancer Microarray Datasets
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    Chapter 36 Assessment of Bayesian Network Classifiers as Tools for Discriminating Breast Cancer Pre-diagnosis Based on Three Diagnostic Methods
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    Chapter 37 Identification of Risk Factors for TRALI Using a Hybrid Algorithm
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    Chapter 38 Generation and Exploitation of Semantic Information Using an Epidemiological Relational Database as a Primary Source of Information
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    Chapter 39 A Graph Cellular Automata Model to Study the Spreading of an Infectious Disease
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    Chapter 40 Modelling Interpersonal Relations in Surgical Teams with Fuzzy Logic
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Advances in Artificial Intelligence
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-37807-2
ISBNs
978-3-64-237806-5, 978-3-64-237807-2
Authors

Ildar Batyrshin, Miguel González Mendoza

Editors

Batyrshin, Ildar, González Mendoza, Miguel

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Master 3 33%
Unknown 3 33%
Readers by discipline Count As %
Engineering 2 22%
Computer Science 2 22%
Earth and Planetary Sciences 1 11%
Environmental Science 1 11%
Unknown 3 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 May 2014.
All research outputs
#2,780,240
of 11,421,167 outputs
Outputs from Lecture notes in computer science
#1,702
of 7,179 outputs
Outputs of similar age
#61,974
of 227,370 outputs
Outputs of similar age from Lecture notes in computer science
#33
of 95 outputs
Altmetric has tracked 11,421,167 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,179 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 75% 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 227,370 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.