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ECML PKDD 2018 Workshops

Overview of attention for book
Cover of 'ECML PKDD 2018 Workshops'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant
  3. Altmetric Badge
    Chapter 2 Asynchronous Federated Learning for Geospatial Applications
  4. Altmetric Badge
    Chapter 3 Generalizing Knowledge in Decentralized Rule-Based Models
  5. Altmetric Badge
    Chapter 4 Introducing Noise in Decentralized Training of Neural Networks
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    Chapter 5 Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver
  7. Altmetric Badge
    Chapter 6 Multimodal Tweet Sentiment Classification Algorithm Based on Attention Mechanism
  8. Altmetric Badge
    Chapter 7 Active Learning by Clustering for Drifted Data Stream Classification
  9. Altmetric Badge
    Chapter 8 Self Hyper-parameter Tuning for Stream Recommendation Algorithms
  10. Altmetric Badge
    Chapter 9 Deep Online Storage-Free Learning on Unordered Image Streams
  11. Altmetric Badge
    Chapter 10 Fault Prognostics for the Predictive Maintenance of Wind Turbines: State of the Art
Attention for Chapter 2: Asynchronous Federated Learning for Geospatial Applications
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
59 Mendeley
Summary Patents Dimensions citations
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Chapter title
Asynchronous Federated Learning for Geospatial Applications
Chapter number 2
Book title
ECML PKDD 2018 Workshops
Published in
Communications in Computer and Information Science, September 2018
DOI 10.1007/978-3-030-14880-5_2
Book ISBNs
978-3-03-014879-9, 978-3-03-014880-5
Authors

Michael R. Sprague, Amir Jalalirad, Marco Scavuzzo, Catalin Capota, Moritz Neun, Lyman Do, Michael Kopp, Sprague, Michael R., Jalalirad, Amir, Scavuzzo, Marco, Capota, Catalin, Neun, Moritz, Do, Lyman, Kopp, Michael

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Student > Master 9 15%
Researcher 5 8%
Student > Doctoral Student 3 5%
Other 2 3%
Other 5 8%
Unknown 21 36%
Readers by discipline Count As %
Computer Science 21 36%
Engineering 12 20%
Linguistics 1 2%
Mathematics 1 2%
Materials Science 1 2%
Other 1 2%
Unknown 22 37%
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 March 2024.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Communications in Computer and Information Science
#1
of 1 outputs
Outputs of similar age
#140,695
of 350,537 outputs
Outputs of similar age from Communications in Computer and Information Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 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 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
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 350,537 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 51% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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