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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 2326, 2022, Proceedings 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 378 pages, height x width: 235x155 mm, weight: 599 g, 119 Illustrations, color; 11 Illustrations, black and white; XIII, 378 p. 130 illus., 119 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13480
  • Izdošanas datums: 12-Aug-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031144627
  • ISBN-13: 9783031144622
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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 2326, 2022, Proceedings 1st ed. 2022Palielināt
  • Formāts: Paperback / softback, 378 pages, height x width: 235x155 mm, weight: 599 g, 119 Illustrations, color; 11 Illustrations, black and white; XIII, 378 p. 130 illus., 119 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13480
  • Izdošanas datums: 12-Aug-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031144627
  • ISBN-13: 9783031144622
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031144622.html
Keywords:
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.

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 Laypersons 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.