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Proceedings of ELM-2015 Volume 2

Overview of attention for book
Cover of 'Proceedings of ELM-2015 Volume 2'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Large-Scale Scene Recognition Based on Extreme Learning Machines
  3. Altmetric Badge
    Chapter 2 Partially Connected ELM for Fast and Effective Scene Classification
  4. Altmetric Badge
    Chapter 3 Two-Layer Extreme Learning Machine for Dimension Reduction
  5. Altmetric Badge
    Chapter 4 Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier
  6. Altmetric Badge
    Chapter 5 An Adaptive Online Sequential Extreme Learning Machine for Real-Time Tidal Level Prediction
  7. Altmetric Badge
    Chapter 6 Optimization of Outsourcing ELM Problems in Cloud Computing from Multi-parties
  8. Altmetric Badge
    Chapter 7 H-MRST: A Novel Framework for Support Uncertain Data Range Query Using ELM
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    Chapter 8 The SVM-ELM Model Based on Particle Swarm Optimization
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    Chapter 9 ELM-ML: Study on Multi-label Classification Using Extreme Learning Machine
  11. Altmetric Badge
    Chapter 10 Sentiment Analysis of Chinese Micro Blog Based on DNN and ELM and Vector Space Model
  12. Altmetric Badge
    Chapter 11 Self Forward and Information Dissemination Prediction Research in SINA Microblog Using ELM
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    Chapter 12 Sparse Coding Extreme Learning Machine for Classification
  14. Altmetric Badge
    Chapter 13 Continuous Top-K Remarkable Comments over Textual Streaming Data Using ELM
  15. Altmetric Badge
    Chapter 14 ELM Based Representational Learning for Fault Diagnosis of Wind Turbine Equipment
  16. Altmetric Badge
    Chapter 15 Prediction of Pulp Concentration Using Extreme Learning Machine
  17. Altmetric Badge
    Chapter 16 Rational and Self-adaptive Evolutionary Extreme Learning Machine for Electricity Price Forecast
  18. Altmetric Badge
    Chapter 17 Contractive ML-ELM for Invariance Robust Feature Extraction
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    Chapter 18 Automated Human Facial Expression Recognition Using Extreme Learning Machines
  20. Altmetric Badge
    Chapter 19 Multi-modal Deep Extreme Learning Machine for Robotic Grasping Recognition
  21. Altmetric Badge
    Chapter 20 Denoising Deep Extreme Learning Machines for Sparse Representation
  22. Altmetric Badge
    Chapter 21 Extreme Learning Machine Based Point-of-Interest Recommendation in Location-Based Social Networks
  23. Altmetric Badge
    Chapter 22 The Granule-Based Interval Forecast for Wind Speed
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    Chapter 23 KELMC: An Improved K-Means Clustering Method Using Extreme Learning Machine
  25. Altmetric Badge
    Chapter 24 Wind Power Ramp Events Classification Using Extreme Learning Machines
  26. Altmetric Badge
    Chapter 25 Facial Expression Recognition Based on Ensemble Extreme Learning Machine with Eye Movements Information
  27. Altmetric Badge
    Chapter 26 Correlation Between Extreme Learning Machine and Entorhinal Hippocampal System
  28. Altmetric Badge
    Chapter 27 RNA Secondary Structure Prediction Using Extreme Learning Machine with Clustering Under-Sampling Technique
  29. Altmetric Badge
    Chapter 28 Multi-instance Multi-label Learning by Extreme Learning Machine
  30. Altmetric Badge
    Chapter 29 A Randomly Weighted Gabor Network for Visual-Thermal Infrared Face Recognition
  31. Altmetric Badge
    Chapter 30 Dynamic Adjustment of Hidden Layer Structure for Convex Incremental Extreme Learning Machine
  32. Altmetric Badge
    Chapter 31 ELMVIS+: Improved Nonlinear Visualization Technique Using Cosine Distance and Extreme Learning Machines
  33. Altmetric Badge
    Chapter 32 On Mutual Information over Non-Euclidean Spaces, Data Mining and Data Privacy Levels
  34. Altmetric Badge
    Chapter 33 Probabilistic Methods for Multiclass Classification Problems
  35. Altmetric Badge
    Chapter 34 A Pruning Ensemble Model of Extreme Learning Machine with L 1/2 Regularizer
  36. Altmetric Badge
    Chapter 35 Evaluating Confidence Intervals for ELM Predictions
  37. Altmetric Badge
    Chapter 36 Real-Time Driver Fatigue Detection Based on ELM
  38. Altmetric Badge
    Chapter 37 Proceedings of ELM-2015 Volume 2
  39. Altmetric Badge
    Chapter 38 Image Super-Resolution by PSOSEN of Local Receptive Fields Based Extreme Learning Machine
  40. Altmetric Badge
    Chapter 39 Sparse Extreme Learning Machine for Regression
  41. Altmetric Badge
    Chapter 40 WELM: Extreme Learning Machine with Wavelet Dynamic Co-Movement Analysis in High-Dimensional Time Series
  42. Altmetric Badge
    Chapter 41 Imbalanced Extreme Learning Machine for Classification with Imbalanced Data Distributions
Attention for Chapter 37: Proceedings of ELM-2015 Volume 2
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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6 X users

Citations

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2 Dimensions

Readers on

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12 Mendeley
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Chapter title
Proceedings of ELM-2015 Volume 2
Chapter number 37
Book title
Proceedings of ELM-2015 Volume 2
Published in
arXiv, August 2016
DOI 10.1007/978-3-319-28373-9_37
Book ISBNs
978-3-31-928372-2, 978-3-31-928373-9
Authors

Meng Joo Er, Rajasekar Venkatesan, Ning Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 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 > Ph. D. Student 3 25%
Student > Bachelor 2 17%
Researcher 2 17%
Professor 1 8%
Student > Master 1 8%
Other 3 25%
Readers by discipline Count As %
Computer Science 8 67%
Physics and Astronomy 1 8%
Engineering 1 8%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 September 2016.
All research outputs
#13,987,232
of 22,884,315 outputs
Outputs from arXiv
#253,762
of 939,983 outputs
Outputs of similar age
#189,031
of 337,459 outputs
Outputs of similar age from arXiv
#3,656
of 15,634 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 939,983 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 70% 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 337,459 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15,634 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 74% of its contemporaries.