Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26-29, 2019, Proceedings
This book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019.

The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

1133107833
Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26-29, 2019, Proceedings
This book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019.

The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

54.99 In Stock
Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26-29, 2019, Proceedings

Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26-29, 2019, Proceedings

Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26-29, 2019, Proceedings

Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26-29, 2019, Proceedings

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Overview

This book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019.

The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.


Product Details

ISBN-13: 9783030297268
Publisher: Springer-Verlag New York, LLC
Publication date: 08/22/2019
Series: Lecture Notes in Computer Science , #11713
Sold by: Barnes & Noble
Format: eBook
File size: 33 MB
Note: This product may take a few minutes to download.

Table of Contents

KANDINSKY Patterns as IQ-Test for machine learning.- Machine Learning Explainability Through Comprehensible Decision Trees.- New Frontiers in Explainable AI: Understanding the GI to Interpret the GO.- Automated Machine Learning for Studying the Trade-off Between Predictive Accuracy and Interpretability.- Estimating the Driver Status Using Long Short Term Memory.- Using Relational Concept Networks for Explainable Decision Support.- Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking.- Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation.- Semi-automated Quality Assurance for Domain-expert-driven Data Exploration - An Application to Principal Component Analysis.- Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification.- How to improve the adaptation phase of the CBR in the medical domain.- Machine Learning for Family Doctors: A Case of Cluster Analysis for studying Aging Associated Comorbidities and Frailty.- Knowledge Extraction for Cryptographic Algorithm Validation Test Vectors by Means of Combinatorial Coverage Measurement.- An Evaluation on Robustness and Utility of Fingerprinting Schemes.- Differentially Private Obfuscation of Facial Images.- Insights into Learning Competence through Probabilistic Graphical Models.- Sparse Nerves in Practice.- Backdoor Attacks in Neural Networks - a Systematic Evaluation on Multiple Traffic Sign Datasets.- Deep Learning for Proteomics Data for Feature Selection and Classification.- Package and Classify Wireless Product Features to Their Sales Items and Categories Automatically.- Temporal diagnosis of discrete-event systems with dual knowledge Compilation.- A Case for Guided Machine Learning.- Using Ontologies to Express Prior Knowledge for Genetic Programming.- Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language.- Commonsense Reasoning using Theorem Proving and Machine Learning.- Deep structured semantic model for recommendations with heterogeneous side information in e-commerce.

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