Machine Learning and Knowledge Extraction [electronic resource] 6th 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 / edited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl.
This 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 c...
| Uniform Title: | Lecture Notes in Computer Science,
1611-3349 ; 13480 |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
|
| Edition: | 1st ed. 2022. |
| Series: | Lecture Notes in Computer Science,
13480 |
| Subjects: | |
| Online Access: | |
| Variant Title: |
Machine Learning and Knowledge Extraction: 6th 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 |
| Format: | Electronic eBook |
MARC
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| 245 | 1 | 0 | |a Machine Learning and Knowledge Extraction |h [electronic resource] |b 6th 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 / |c edited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl. |
| 246 | 2 | |a Machine Learning and Knowledge Extraction: 6th 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 | |
| 250 | |a 1st ed. 2022. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2022. | |
| 490 | 1 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 13480 | |
| 505 | 0 | |a Explain 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. | |
| 520 | |a This 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. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Software engineering. | |
| 650 | 0 | |a Database management. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Information storage and retrieval systems. | |
| 650 | 0 | |a Machine theory. | |
| 700 | 1 | |a Holzinger, Andreas. |e editor. |0 (orcid)0000-0002-6786-5194 |1 https://orcid.org/0000-0002-6786-5194 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Kieseberg, Peter. |e editor. |0 (orcid)0000-0002-2847-2152 |1 https://orcid.org/0000-0002-2847-2152 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Tjoa, A Min. |e editor. |0 (orcid)0000-0002-8295-9252 |1 https://orcid.org/0000-0002-8295-9252 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Weippl, Edgar. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Computer Science eBooks 2022 English/International |d Springer Nature | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031144622 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031144646 |
| 776 | 1 | |t Machine Learning and Knowledge Extraction | |
| 830 | 0 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 13480 | |
| 856 | 4 | 0 | |y Access Content Online(from Springer Computer Science eBooks 2022 English/International) |u https://ezproxy.msu.edu/login?url=https://link.springer.com/10.1007/978-3-031-14463-9 |z Springer Computer Science eBooks 2022 English/International: 2022 |