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Advances in Intelligent Data Analysis XVII

Overview of attention for book
Cover of 'Advances in Intelligent Data Analysis XVII'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Elements of an Automatic Data Scientist
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    Chapter 2 The Need for Interpretability Biases
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    Chapter 3 Open Data Science
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    Chapter 4 Automatic POI Matching Using an Outlier Detection Based Approach
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    Chapter 5 Fact Checking from Natural Text with Probabilistic Soft Logic
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    Chapter 6 ConvoMap: Using Convolution to Order Boolean Data
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    Chapter 7 Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers
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    Chapter 8 Missing Data Imputation via Denoising Autoencoders: The Untold Story
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    Chapter 9 Online Non-linear Gradient Boosting in Multi-latent Spaces
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    Chapter 10 MDP-based Itinerary Recommendation using Geo-Tagged Social Media
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    Chapter 11 Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization
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    Chapter 12 Non-negative Local Sparse Coding for Subspace Clustering
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    Chapter 13 Pushing the Envelope in Overlapping Communities Detection
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    Chapter 14 Right for the Right Reason: Training Agnostic Networks
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    Chapter 15 Link Prediction in Multi-layer Networks and Its Application to Drug Design
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    Chapter 16 A Hierarchical Ornstein-Uhlenbeck Model for Stochastic Time Series Analysis
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    Chapter 17 Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts
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    Chapter 18 Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data
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    Chapter 19 Reduction Stumps for Multi-class Classification
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    Chapter 20 Decomposition of Quantitative Gaifman Graphs as a Data Analysis Tool
  22. Altmetric Badge
    Chapter 21 Exploring the Effects of Data Distribution in Missing Data Imputation
  23. Altmetric Badge
    Chapter 22 Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors
  24. Altmetric Badge
    Chapter 23 Expert Finding in Citizen Science Platform for Biodiversity Monitoring via Weighted PageRank Algorithm
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    Chapter 24 Random Forests with Latent Variables to Foster Feature Selection in the Context of Highly Correlated Variables. Illustration with a Bioinformatics Application.
  26. Altmetric Badge
    Chapter 25 Don’t Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML
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    Chapter 26 Detecting Shifts in Public Opinion: A Big Data Study of Global News Content
  28. Altmetric Badge
    Chapter 27 Biased Embeddings from Wild Data: Measuring, Understanding and Removing
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    Chapter 28 Real-Time Excavation Detection at Construction Sites using Deep Learning
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    Chapter 29 COBRAS: Interactive Clustering with Pairwise Queries
  31. Altmetric Badge
    Chapter 30 Automatically Wrangling Spreadsheets into Machine Learning Data Formats
  32. Altmetric Badge
    Chapter 31 Learned Feature Generation for Molecules
Attention for Chapter 14: Right for the Right Reason: Training Agnostic Networks
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
13 Mendeley
Summary X Dimensions citations
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Chapter title
Right for the Right Reason: Training Agnostic Networks
Chapter number 14
Book title
Advances in Intelligent Data Analysis XVII
Published in
arXiv, October 2018
DOI 10.1007/978-3-030-01768-2_14
Book ISBNs
978-3-03-001767-5, 978-3-03-001768-2
Authors

Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini, Jia, Sen, Lansdall-Welfare, Thomas, Cristianini, Nello

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Master 3 23%
Student > Bachelor 2 15%
Student > Doctoral Student 1 8%
Unknown 3 23%
Readers by discipline Count As %
Computer Science 6 46%
Decision Sciences 1 8%
Social Sciences 1 8%
Engineering 1 8%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 September 2018.
All research outputs
#14,311,063
of 25,260,058 outputs
Outputs from arXiv
#191,707
of 1,030,642 outputs
Outputs of similar age
#169,400
of 357,048 outputs
Outputs of similar age from arXiv
#5,275
of 24,431 outputs
Altmetric has tracked 25,260,058 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,030,642 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 80% 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 357,048 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 52% of its contemporaries.
We're also able to compare this research output to 24,431 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.

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