LEADER 05985nam 22007455 450 001 9910416084403321 005 20251225183528.0 010 $a3-030-57321-4 024 7 $a10.1007/978-3-030-57321-8 035 $a(CKB)4100000011392526 035 $a(DE-He213)978-3-030-57321-8 035 $a(MiAaPQ)EBC6313863 035 $a(PPN)253256941 035 $a(EXLCZ)994100000011392526 100 $a20200819d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Knowledge Extraction $e4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, Dublin, Ireland, August 25?28, 2020, Proceedings /$fedited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XI, 552 p. 171 illus., 112 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v12279 300 $aIncludes index. 311 08$a3-030-57320-6 327 $aExplainable 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 Collaboration: Impactof 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. 330 $aThis book constitutes the refereed proceedings of the 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, held in Dublin, Ireland, in August 2020. The 30 revised full papers presented were carefully reviewed and selected from 140 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity. Due to the Corona pandemic CD-MAKE 2020 was held as a virtual event. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v12279 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aSoftware engineering 606 $aComputers 606 $aApplication software 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aSoftware Engineering 606 $aComputing Milieux 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aSoftware engineering. 615 0$aComputers. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aSoftware Engineering. 615 24$aComputing Milieux. 615 24$aComputer and Information Systems Applications. 676 $a006.31 676 $a006.31 702 $aHolzinger$b Andreas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKieseberg$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTjoa$b A Min$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWeippl$b Edgar$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910416084403321 996 $aMachine Learning and Knowledge Extraction$91896731 997 $aUNINA