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|a IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference
|n (4th :
|d 2020 :
|c Online)
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| 245 |
1 |
0 |
|a Machine learning and knowledge extraction :
|b 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, Dublin, Ireland, August 25-28, 2020, Proceedings /
|c Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl (eds.).
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|a CD-MAKE 2020
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|a Cham, Switzerland :
|b Springer,
|c 2020.
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|a 1 online resource
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| 347 |
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| 490 |
1 |
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|a Lecture notes in computer science ;
|v 12279
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| 490 |
1 |
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|a LNCS sublibrary, SL 3, Information systems and applications, incl. internet/web, and HCI
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| 500 |
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|a International conference proceedings.
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|a "The 4th conference was organized at the University College Dublin, Ireland and was held as a virtual event, due to the Corona pandemic."--Preface
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|a Includes author index.
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0 |
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|a Explainable Artificial Intelligence: concepts, applications, research challenges and visions -- The Explanation Game: Explaining Machine Learning Models Using Shapley Values -- Back to the Feature: a Neural-Symbolic Perspective on Explainable AI -- Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification -- Explainable Reinforcement Learning: A Survey -- A Projected Stochastic Gradient algorithm for estimating Shapley Value applied in attribute importance -- Explaining predictive models with mixed features using Shapley values and conditional inference trees -- Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case -- eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters -- Data Understanding and Interpretation by the Cooperation of Data Analyst and Medical Expert -- A study on the fusion of pixels and patient metadata in CNN-based classification of skin lesion images -- The European legal framework for medical AI -- An Efficient Method for Mining Informative Association Rules in Knowledge Extraction -- Interpretation of SVM using Data Mining Technique to Extract Syllogistic Rules -- Non-Local Second-Order Attention Network For Single Image Super Resolution -- ML-ModelExplorer: An explorative model-agnostic approach to evaluate and compare multi-class classifiers -- Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints -- Scenario-based Requirements Elicitation for User-Centric Explainable AI A Case in Fraud Detection -- On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks -- Active Learning for Auditory Hierarchy -- Improving short text classification through global augmentation methods -- Interpretable Topic Extraction and Word Embedding Learning using row-stochastic DEDICOM -- A Clustering Backed Deep Learning Approach for Document Layout Analysis -- Calibrating Human-AI Co llaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias -- Applying AI in Practice: Key Challenges and Lessons Learned -- Function Space Pooling For Graph Convolutional Networks -- Analysis of optical brain signals using connectivity graph networks -- Property-Based Testing for Parameter Learning of Probabilistic Graphical Models -- An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge -- Inter-Space Machine Learning in Smart Environments.
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| 520 |
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|a This book constitutes the refereed proceedings of the 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, held in Dublin, Ireland, in August 2020. The 30 revised full papers presented were carefully reviewed and selected from 41 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. Due to the Corona pandemic CD-MAKE 2020 was held as a virtual event.
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| 650 |
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|a Machine learning
|v Congresses.
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| 650 |
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|a Data mining
|v Congresses.
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7 |
|a Computer vision.
|2 bicssc
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| 650 |
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7 |
|a Software Engineering.
|2 bicssc
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| 650 |
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7 |
|a Information technology: general issues.
|2 bicssc
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| 650 |
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7 |
|a Artificial intelligence.
|2 bicssc
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| 650 |
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7 |
|a Computers
|x Computer Vision & Pattern Recognition.
|2 bisacsh
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| 650 |
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7 |
|a Computers
|x Software Development & Engineering
|x General.
|2 bisacsh
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| 650 |
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7 |
|a Computers
|x Social Aspects
|x Human-Computer Interaction.
|2 bisacsh
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| 650 |
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7 |
|a Computers
|x Data Processing.
|2 bisacsh
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| 650 |
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7 |
|a Computers
|x Intelligence (AI) & Semantics.
|2 bisacsh
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| 650 |
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|a Data mining
|2 fast
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| 655 |
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|a proceedings (reports)
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|a Conference papers and proceedings
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| 655 |
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|a Conference papers and proceedings.
|2 lcgft
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| 655 |
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|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Holzinger, Andreas.
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| 700 |
1 |
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|a Kieseberg, Peter.
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| 700 |
1 |
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|a Tjoa, A. Min.
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| 700 |
1 |
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|a Weippl, Edgar R.
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| 758 |
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|i has work:
|a Machine Learning and Knowledge Extraction (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGFQhGPjHRwvk3GvXmFCpK
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference (4th : 2020 : Online).
|t Machine learning and knowledge extraction.
|d Cham, Switzerland : Springer, 2020
|z 3030573206
|z 9783030573201
|w (OCoLC)1176326032
|
| 830 |
|
0 |
|a Lecture notes in computer science ;
|v 12279.
|
| 830 |
|
0 |
|a LNCS sublibrary.
|n SL 3,
|p Information systems and applications, incl. Internet/Web, and HCI.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-57321-8
|y Click for online access
|
| 903 |
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|a SPRING-COMP2020
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| 994 |
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|