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Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring Using Acoustic and Vibration Signals: A Comparison Based on a Toy Data Set from a Coffee Vending Machine
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- Conference Paper
- C1
- open access
Streamlining governmental processes by putting citizens in control of their personal data
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Archimedean choice functions : an axiomatic foundation for imprecise decision making
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A study of the set of probability measures compatible with comparative judgements
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Contextualizing naive Bayes predictions
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- Conference Paper
- open access
Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks
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Google Indoor Maps or Google Indoor No Maps? Usability study of an adapted mobile indoor wayfinding aid
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Unsupervised anomaly detection for communication networks : an autoencoder approach
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Limit behaviour of upper and lower expected time averages in discrete-time imprecise Markov chains
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- Conference Paper
- C1
- open access
Sleep : model reduction in deep active inference