↓ Skip to main content

Machine Learning and Knowledge Extraction

Overview of attention for book
Machine Learning and Knowledge Extraction
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
  3. Altmetric Badge
    Chapter 2 Approximation of SHAP Values for Randomized Tree Ensembles
  4. Altmetric Badge
    Chapter 3 Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning
  5. Altmetric Badge
    Chapter 4 Effects of Fairness and Explanation on Trust in Ethical AI
  6. Altmetric Badge
    Chapter 5 Towards Refined Classifications Driven by SHAP Explanations
  7. Altmetric Badge
    Chapter 6 Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration
  8. Altmetric Badge
    Chapter 7 The ROC Diagonal is Not Layperson’s Chance: A New Baseline Shows the Useful Area
  9. Altmetric Badge
    Chapter 8 Debiasing MDI Feature Importance and SHAP Values in Tree Ensembles
  10. Altmetric Badge
    Chapter 9 The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap
  11. Altmetric Badge
    Chapter 10 Identifying Fraud Rings Using Domain Aware Weighted Community Detection
  12. Altmetric Badge
    Chapter 11 Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation
  13. Altmetric Badge
    Chapter 12 Semantic Causal Abstraction for Event Prediction
  14. Altmetric Badge
    Chapter 13 An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments
  15. Altmetric Badge
    Chapter 14 Towards Generating Financial Reports from Tabular Data Using Transformers
  16. Altmetric Badge
    Chapter 15 Evaluating the Performance of SOBEK Text Mining Keyword Extraction Algorithm
  17. Altmetric Badge
    Chapter 16 Classification of Screenshot Image Captured in Online Meeting System
  18. Altmetric Badge
    Chapter 17 A Survey on the Application of Virtual Reality in Event-Related Potential Research
  19. Altmetric Badge
    Chapter 18 Visualizing Large Collections of URLs Using the Hilbert Curve
  20. Altmetric Badge
    Chapter 19 How to Reduce the Time Necessary for Evaluation of Tree-Based Models
  21. Altmetric Badge
    Chapter 20 An Empirical Analysis of Synthetic-Data-Based Anomaly Detection
  22. Altmetric Badge
    Chapter 21 SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients
  23. Altmetric Badge
    Chapter 22 Comparing Machine Learning Correlations to Domain Experts’ Causal Knowledge: Employee Turnover Use Case
  24. Altmetric Badge
    Chapter 23 Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations
Attention for Chapter 21: SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients
Altmetric Badge

Readers on

mendeley
9 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients
Chapter number 21
Book title
Machine Learning and Knowledge Extraction
Published by
Springer, Cham, August 2022
DOI 10.1007/978-3-031-14463-9_21
Book ISBNs
978-3-03-114462-2, 978-3-03-114463-9
Authors

František Babič, Viera Anderková, Zvonimir Bosnić, Mile Volarić, Ljiljana Trtica Majnarić, Babič, František, Anderková, Viera, Bosnić, Zvonimir, Volarić, Mile, Trtica Majnarić, Ljiljana

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

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 > Master 4 44%
Researcher 1 11%
Unspecified 1 11%
Student > Doctoral Student 1 11%
Lecturer 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 4 44%
Unspecified 1 11%
Economics, Econometrics and Finance 1 11%
Engineering 1 11%
Unknown 2 22%