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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

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 cro...

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Bibliographic Details
Other Authors: Holzinger, Andreas (Editor), Kieseberg, Peter (Editor), Tjoa, A Min (Editor), Weippl, Edgar (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:Information Systems and Applications, incl. Internet/Web, and HCI
Subjects:
Education / Data Processing
Artificial Intelligence
Database Management
Computers And Education
Data Mining
Data Mining And Knowledge Discovery
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of 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

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