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

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0302-9743 es and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity..978-3-030-29725-1978-3-030-29726-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

引起痛苦

https://doi.org/10.1007/978-3-030-29726-8artificial intelligence; computer vision; data mining; data privacy; data security; databases; decision su

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Machine Learning and Knowledge Extraction978-3-030-29726-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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KANDINSKY Patterns as IQ-Test for Machine Learning,idation and training of explainability in AI. Kandinsky Patterns are at the same time easily distinguishable from human observers. Consequently, controlled patterns can be described by . humans and computers. The results of our study show that the majority of human explanations was made based on the

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Estimating the Driver Status Using Long Short Term Memory,ituations and warn the drivers. We conducted an experiment in eight different driving scenarios and collected a large dataset from driving data and driver related data. We chose Long Short Term Memory (LSTM) as our machine learning method. We built and trained a stacked LSTM network to estimate the