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Agents and Artificial Intelligence

Overview of attention for book
Cover of 'Agents and Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Herd Behavior Is Sufficient to Reproduce Human Evacuation Decisions During the Great East Japan Earthquake
  3. Altmetric Badge
    Chapter 2 Intelligent Local Energy Communities: A Multiagent System Approach
  4. Altmetric Badge
    Chapter 3 A Game-Theoretical Incentive Mechanism for Local Energy Communities
  5. Altmetric Badge
    Chapter 4 On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters
  6. Altmetric Badge
    Chapter 5 Cooperative Multi-agent Systems for the Multi-target $$\upkappa $$ κ -Coverage Problem
  7. Altmetric Badge
    Chapter 6 A Dynamic Scheduling Multiagent System for Truck Dispatching in Open-Pit Mines
  8. Altmetric Badge
    Chapter 7 Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders
  9. Altmetric Badge
    Chapter 8 Cost-Sensitive Semi-supervised Classification for Fraud Applications
  10. Altmetric Badge
    Chapter 9 Blending NLP and Machine Learning for the Development of Winograd Schemas
  11. Altmetric Badge
    Chapter 10 Cognitive Map Query Language for Temporal Domains
  12. Altmetric Badge
    Chapter 11 Choose Your Words Wisely: Leveraging Embedded Dialog Trajectories to Enhance Performance in Open-Domain Conversations
  13. Altmetric Badge
    Chapter 12 Heuristic Learning in Domain-Independent Planning: Theoretical Analysis and Experimental Evaluation
  14. Altmetric Badge
    Chapter 13 Knowledge Injection to Neural Networks with Progressive Learning Strategy
  15. Altmetric Badge
    Chapter 14 A Scalable and Automated Machine Learning Framework to Support Risk Management
  16. Altmetric Badge
    Chapter 15 Designing New Data Replication Strategies Automatically
  17. Altmetric Badge
    Chapter 16 Trading Bias for Expressivity in Artificial Learning
  18. Altmetric Badge
    Chapter 17 A Multi-modal Audience Engagement Measurement System
  19. Altmetric Badge
    Chapter 18 Learning Latent Variable Models with Discriminant Regularization
  20. Altmetric Badge
    Chapter 19 Continuous Multi-agent Path Finding via Satisfiability Modulo Theories (SMT)
  21. Altmetric Badge
    Chapter 20 Unsupervised Feature Value Selection Based on Explainability
  22. Altmetric Badge
    Chapter 21 Reducing the Need for Manual Annotated Datasets in Aspect Sentiment Classification by Transfer Learning and Weak-Supervision
  23. Altmetric Badge
    Chapter 22 Quantifying Gaze-Based Strategic Patterns in Physics Vector Field Divergence
  24. Altmetric Badge
    Chapter 23 Economic and Food Safety: Optimized Inspection Routes Generation
Attention for Chapter 14: A Scalable and Automated Machine Learning Framework to Support Risk Management
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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4 Dimensions

Readers on

mendeley
11 Mendeley
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Chapter title
A Scalable and Automated Machine Learning Framework to Support Risk Management
Chapter number 14
Book title
Agents and Artificial Intelligence
Published in
Lecture notes in computer science, March 2021
DOI 10.1007/978-3-030-71158-0_14
Book ISBNs
978-3-03-071157-3, 978-3-03-071158-0
Authors

Ferreira, Luís, Pilastri, André Luiz, Martins, Carlos, Santos, Pedro, Cortez, Paulo, Pilastri, André

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 18%
Student > Ph. D. Student 1 9%
Other 1 9%
Student > Master 1 9%
Unknown 6 55%
Readers by discipline Count As %
Unspecified 2 18%
Engineering 2 18%
Computer Science 1 9%
Unknown 6 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 September 2021.
All research outputs
#15,670,023
of 23,283,373 outputs
Outputs from Lecture notes in computer science
#4,675
of 8,163 outputs
Outputs of similar age
#260,249
of 424,853 outputs
Outputs of similar age from Lecture notes in computer science
#6
of 12 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 424,853 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.