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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
(2021) IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Revised Selected Papers. In Communications in Computer and Information Science 1325. p.145-159 -
Artificial Intelligence and Machine Learning, 32nd Benelux Conference, BNAIC/Benelearn 2020, Revised Selected Papers
Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt (UGent) , Jan N. van Rijn and Frank W. Takes -
Unsupervised anomaly detection for communication networks : an autoencoder approach
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Combining absolute and relative information with frequency distributions for ordinal classification
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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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Archimedean choice functions : an axiomatic foundation for imprecise decision making
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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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- Conference Paper
- C1
- open access
A study of the set of probability measures compatible with comparative judgements
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- Conference Paper
- C1
- open access
Rhythm, chord and melody generation for lead sheets using recurrent neural networks
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Contextualizing naive Bayes predictions