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Titlebook: Machine Learning and Knowledge Extraction; Third IFIP TC 5, TC Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2019

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51#
發(fā)表于 2025-3-30 10:31:09 | 只看該作者
Machine Learning for Family Doctors: A Case of Cluster Analysis for Studying Aging Associated Comoron using a set of anthropometric and laboratory health indicators, routinely collected in electronic health records. Differences found among clusters in proportions of prefrail and frail versus non-frail patients have been explained with differences in the central values of the parameters used for c
52#
發(fā)表于 2025-3-30 14:20:35 | 只看該作者
53#
發(fā)表于 2025-3-30 19:16:11 | 只看該作者
54#
發(fā)表于 2025-3-30 23:37:28 | 只看該作者
55#
發(fā)表于 2025-3-31 04:53:51 | 只看該作者
,Backdoor Attacks in Neural Networks – A Systematic Evaluation on Multiple Traffic Sign Datasets,ions. For image analysis tasks, these attacks are in the form of small perturbations that remain (almost) imperceptible to human vision. Such attacks can cause a neural network classifier to completely change its prediction about an image, with the model even reporting a high confidence about the wr
56#
發(fā)表于 2025-3-31 05:36:12 | 只看該作者
Deep Learning for Proteomics Data for Feature Selection and Classification,xtract biomarker sets..Comparison of our method to a state-of-the-art L1-SVM approach shows that the new approach is able to find better biomarker sets for classification when small sets are desired. Compared to a state-of-the-art .-support vector machine (.-SVM) approach, our method achieves better
57#
發(fā)表于 2025-3-31 10:06:35 | 只看該作者
58#
發(fā)表于 2025-3-31 14:22:55 | 只看該作者
Franti?ek Babi?,Ljiljana Trtica Majnari?,Sanja Beki?,Andreas Holzinger
59#
發(fā)表于 2025-3-31 17:49:09 | 只看該作者
60#
發(fā)表于 2025-4-1 00:52:49 | 只看該作者
Anna Saranti,Behnam Taraghi,Martin Ebner,Andreas Holzinger
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