LEADER 05283nam 22007695 450 001 9910586592403321 005 20251225203549.0 010 $a3-031-14463-5 024 7 $a10.1007/978-3-031-14463-9 035 $a(MiAaPQ)EBC7072668 035 $a(Au-PeEL)EBL7072668 035 $a(CKB)24368777100041 035 $a(PPN)264191358 035 $a(BIP)85343084 035 $a(BIP)85025311 035 $a(DE-He213)978-3-031-14463-9 035 $a(EXLCZ)9924368777100041 100 $a20220810d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Knowledge Extraction $e6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23?26, 2022, Proceedings /$fedited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (390 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13480 311 08$aPrint version: Holzinger, Andreas Machine Learning and Knowledge Extraction Cham : Springer International Publishing AG,c2022 9783031144622 320 $aIncludes bibliographical references and index. 327 $aExplain to Not Forget: Defending Catastrophic Forgetting with XAI -- Approximation of SHAP values for Randomized Tree Ensembles -- Color shadows (part I): exploratory usability evaluation of activation maps in radiological machine learning -- Effects of Fairness and Explanation on Trust in Ethical AI -- Towards Refined Classifications driven by SHAP explanations -- Global Intepretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration -- The ROC Diagonal is not Layperson?s Chance: a New Baseline Shows the Useful Area -- Debiasing MDI Feature Importance and SHAP values in Tree Ensembles -- The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap -- Identifying Fraud Rings Using Domain Aware Weighted Community Detection -- Capabilities, limitations and challenges of style transfer with CycleGANs: a study on automatic ring design generation -- Semantic Causal Abstraction for Event Prediction -- An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments -- Towards Generating Financial Reports From Tabular Data Using Transformers -- Evaluating the performance of SOBEK text mining keyword extraction algorithm -- Classification of Screenshot Image Captured in Online Meeting System -- A survey on the application of virtual reality in event-related potential research -- Visualizing Large Collections of URLs Using the Hilbert Curve -- How to Reduce the Time Necessary for Evaluation of Tree-based Models -- An Empirical Analysis of and Guidelines for Synthetic-Data-based Anomaly Detection -- SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients -- Comparing machine learning correlations to domain experts? causal knowledge: Employee turnover use case -- Machine learning and knowledge extraction to support work safety for smart forest operations. 330 $aThis book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022. The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13480 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aDatabase management 606 $aData mining 606 $aInformation storage and retrieval systems 606 $aMachine theory 606 $aArtificial Intelligence 606 $aSoftware Engineering 606 $aDatabase Management 606 $aData Mining and Knowledge Discovery 606 $aInformation Storage and Retrieval 606 $aFormal Languages and Automata Theory 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aDatabase management. 615 0$aData mining. 615 0$aInformation storage and retrieval systems. 615 0$aMachine theory. 615 14$aArtificial Intelligence. 615 24$aSoftware Engineering. 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aFormal Languages and Automata Theory. 676 $a658.4038 676 $a006.31 702 $aHolzinger$b Andreas 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910586592403321 996 $aMachine Learning and Knowledge Extraction$91896731 997 $aUNINA