↓ Skip to main content
What is this page? Embed badge

Machine Learning and Knowledge Extraction

Overview of attention for book
Cover of 'Machine Learning and Knowledge Extraction'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 2 Machine Learning Explainability Through Comprehensible Decision Trees
  3. Altmetric Badge
    Chapter 7 Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking
  4. Altmetric Badge
    Chapter 12 Machine Learning for Family Doctors: A Case of Cluster Analysis for Studying Aging Associated Comorbidities and Frailty
  5. Altmetric Badge
    Chapter 13 Knowledge Extraction for Cryptographic Algorithm Validation Test Vectors by Means of Combinatorial Coverage Measurement
  6. Altmetric Badge
    Chapter 14 An Evaluation on Robustness and Utility of Fingerprinting Schemes
  7. Altmetric Badge
    Chapter 15 Differentially Private Obfuscation of Facial Images
  8. Altmetric Badge
    Chapter 19 Deep Learning for Proteomics Data for Feature Selection and Classification
  9. Altmetric Badge
    Chapter 22 A Case for Guided Machine Learning
  10. Altmetric Badge
    Chapter 23 Using Ontologies to Express Prior Knowledge for Genetic Programming
  11. Altmetric Badge
    Chapter 24 Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language
  12. Altmetric Badge
    Chapter 25 Commonsense Reasoning Using Theorem Proving and Machine Learning
Attention for Chapter 23: Using Ontologies to Express Prior Knowledge for Genetic Programming
Altmetric Badge

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
7 Mendeley
Summary Dimensions citations
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
Using Ontologies to Express Prior Knowledge for Genetic Programming
Chapter number 23
Book title
Machine Learning and Knowledge Extraction
Published by
Springer, Cham, August 2019
DOI 10.1007/978-3-030-29726-8_23
Book ISBNs
978-3-03-029725-1, 978-3-03-029726-8
Authors

Stefan Prieschl, Dominic Girardi, Gabriel Kronberger

View on publisher site
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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Computer Science 4 57%
Unknown 3 43%

This page is provided by Altmetric.