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Machine Learning and Knowledge Extraction

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

Table of Contents

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

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10 Dimensions

Readers on

mendeley
6 Mendeley
Summary Dimensions citations
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Chapter title
Knowledge Extraction for Cryptographic Algorithm Validation Test Vectors by Means of Combinatorial Coverage Measurement
Chapter number 13
Book title
Machine Learning and Knowledge Extraction
Published by
Springer, Cham, August 2019
DOI 10.1007/978-3-030-29726-8_13
Book ISBNs
978-3-03-029725-1, 978-3-03-029726-8
Authors

Dimitris E. Simos, Bernhard Garn, Ludwig Kampel, D. Richard Kuhn, Raghu N. Kacker

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Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Student > Ph. D. Student 1 17%
Other 1 17%
Student > Doctoral Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Mathematics 2 33%
Engineering 2 33%
Computer Science 1 17%
Unknown 1 17%

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