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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 23-26, 2022, Proceedings
Title
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.
ISBN
9783031144639
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (XIII, 378 p.) 130 illus., 119 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
August 24, 2022
Series
Lecture Notes in Computer Science, 13480
Contents
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.
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