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 / edited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl.

Format:

Book

Contributor:

Holzinger, Andreas, Editor.

Kieseberg, Peter, Editor.

Tjoa, A Min, Editor.

Weippl, Edgar., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 12844

Information Systems and Applications, incl. Internet/Web, and HCI ; 12844

Language:

English

Subjects (All):

Artificial intelligence.

Education-Data processing.

Database management.

Data mining.

Artificial Intelligence.

Computers and Education.

Database Management.

Data Mining and Knowledge Discovery.

Local Subjects:

Artificial Intelligence.

Computers and Education.

Database Management.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (X, 365 pages) : 119 illustrations, 96 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-84060-0

9783030840600

Access Restriction:

Restricted for use by site license.