Machine Learning and Knowledge Extraction de Andreas Holzinger

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: Lecture Notes in Computer Science, cartea 13480

Andreas Holzinger

Peter Kieseberg

A Min Tjoa

Edgar Weippl

en Limba Engleză Paperback – 12 aug 2022

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.

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	Preț	Express
Paperback (6)	324^.19 lei 6-8 săpt.
Springer International Publishing – 24 aug 2018	324^.19 lei 6-8 săpt.
Springer International Publishing – 24 aug 2017	324^.35 lei 6-8 săpt.
Springer International Publishing – 23 aug 2019	326^.24 lei 6-8 săpt.
Springer International Publishing – 12 aug 2022	570^.44 lei 6-8 săpt.
Springer – 12 aug 2021	625^.84 lei 6-8 săpt.
Springer International Publishing – 21 aug 2020	633^.21 lei 6-8 săpt.

Preț

Express

Paperback (6)

324^.19 lei 6-8 săpt.

Springer International Publishing – 24 aug 2018

324^.19 lei 6-8 săpt.

Springer International Publishing – 24 aug 2017

324^.35 lei 6-8 săpt.

Springer International Publishing – 23 aug 2019

326^.24 lei 6-8 săpt.

Springer International Publishing – 12 aug 2022

570^.44 lei 6-8 săpt.

Springer – 12 aug 2021

625^.84 lei 6-8 săpt.

Springer International Publishing – 21 aug 2020

633^.21 lei 6-8 săpt.

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Specificații

ISBN-13: 9783031144622
ISBN-10: 3031144627
Pagini: 378
Ilustrații: XIII, 378 p. 130 illus., 119 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.55 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.