Machine learning and knowledge extra...
IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference (2021 :)

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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 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Machine learning and knowledge extraction/ edited by Andreas Holzinger ... [et al.].
    Reminder of title: 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 /
    remainder title: CD-MAKE 2021
    other author: Holzinger, Andreas.
    corporate name: IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference
    Published: Cham :Springer International Publishing : : 2021.,
    Description: x, 365 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Machine learning - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-030-84060-0
    ISBN: 9783030840600
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