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Titlebook: Machine Learning and Knowledge Extraction; 6th IFIP TC 5, TC 12 Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2022

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樓主: bile-acids
11#
發(fā)表于 2025-3-23 19:13:03 | 只看該作者
12#
發(fā)表于 2025-3-24 00:34:05 | 只看該作者
,The Influence of?User Diversity on?Motives and?Barriers when Using Health Apps - A Conjoint Investiigured based on selected attributes. Differences in decision-making between men and women, exercisers and non-exercisers, as well as influences of certain personality dimensions and motivational types have been found. The results provide important clues that may help to customize fitness apps to specific user groups and for further research.
13#
發(fā)表于 2025-3-24 03:54:46 | 只看該作者
14#
發(fā)表于 2025-3-24 10:29:00 | 只看該作者
Evaluating the Performance of SOBEK Text Mining Keyword Extraction Algorithm,ing one another in a batch of tests, and reaching similar results in others. Understanding why each algorithm outperformed the other in different circumstances may shed light on the advantages and disadvantages of specific features of keyword extraction methods.
15#
發(fā)表于 2025-3-24 13:16:58 | 只看該作者
0302-9743 D-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 algori
16#
發(fā)表于 2025-3-24 17:41:31 | 只看該作者
17#
發(fā)表于 2025-3-24 22:46:58 | 只看該作者
18#
發(fā)表于 2025-3-24 23:26:24 | 只看該作者
19#
發(fā)表于 2025-3-25 05:38:41 | 只看該作者
,Towards Refined Classifications Driven by?SHAP Explanations,compare the performance of these “SHAP features” against traditional “base features” on binary classification tasks. Then, we add a second-step classifier relying on SHAP features, with the goal of reducing false-positive and false-negative results of typical classifiers. We show that SHAP explanati
20#
發(fā)表于 2025-3-25 11:32:57 | 只看該作者
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