
Machine Learning and Knowledge Extraction
5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17-20, 2021, Proceedings
Springer (Publisher)
Published on 12. August 2021
Book
Paperback/Softback
X, 365 pages
978-3-030-84059-4 (ISBN)
Description
This book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021.
The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 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.
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
96 farbige Abbildungen, 23 s/w Abbildungen
X, 365 p. 119 illus., 96 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 21 mm
Weight
569 gr
ISBN-13
978-3-030-84059-4 (9783030840594)
DOI
10.1007/978-3-030-84060-0
Schweitzer Classification
Other editions
Additional editions

Andreas Holzinger | Peter Kieseberg | A. Min Tjoa
Machine Learning and Knowledge Extraction
5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17-20, 2021, Proceedings
E-Book
08/2021
Springer
€96.29
Available for download
Content
Digital Transformation for Sustainable Development Goals (SDGs) - a Security, Safety and Privacy Perspective on AI.- When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised.- Self-Propagating Malware Containment via Reinforcement Learning.- Text2PyCode : Machine Translation of Natural Language Intent to Python Source Code.- Automated Short Answer Grading using Deep Learning : A Survey.- Fair and Adequate Explanations.- Mining Causal Hypotheses in Categorical Time Series by Iterating on Binary Correlations.- Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples.- Rice seed image-to-image translation using Generative Adversarial Networks to improve weedy rice image classification.- Reliable AI through SVDD and rule extraction.- Airbnb Price Prediction Using Machine Learning and Sentiment Analysis.- Towards Financial Sentiment Analysis in a South African Landscape.- Decisions are not all equal. Introducing a utility metric based on the case-wise raters' perceptions.- Deep Convolutional Neural Network(CNN) design for pathology detection of COVID-19 in chest X-Ray Images.- Anomaly detection for skin lesion images using replicator neural networks.- On the overlap between Grad-CAM saliency maps and explainable visual features in skin cancer images.- From Explainable to Reliable Artificial Intelligence.- Explanatory Pluralism in Explainable AI.- On the Trustworthiness of Tree Ensemble Explainability Methods.- Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods.- MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers.- Transparent Ensembles for Covid-19 Prognosis.