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Machine Learning and Knowledge Extraction

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

by Andreas HolzingerPeter Kieseberg A. Min Tjoa and others
Paperback
Publication Date: 12/08/2021

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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.
ISBN:
9783030840594
9783030840594
Category:
Artificial intelligence
Format:
Paperback
Publication Date:
12-08-2021
Language:
English
Publisher:
Springer International Publishing AG
Country of origin:
Switzerland
Dimensions (mm):
235x155mm
Weight:
0.57kg

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