Leen De Baets
No current affiliation with UGent
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Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
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Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks
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- Conference Paper
- C1
- open access
VI-based appliance classification using aggregated power consumption data
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- PhD Thesis
- open access
Machine learning for non-intrusive load monitoring
(2018) -
- Journal Article
- A1
- open access
Appliance classification using VI trajectories and convolutional neural networks
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- Conference Paper
- P1
- open access
Handling imbalance in an extended PLAID
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- Conference Paper
- P1
- open access
Automated classification of appliances using elliptical fourier descriptors
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- Conference Paper
- P1
- open access
Optimized statistical test for event detection in non-intrusive load monitoring
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- Journal Article
- A1
- open access
On the Bayesian optimization and robustness of event detection methods in NILM
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- Conference Paper
- C1
- open access
Positive blood culture detection in time series data using a BiLSTM network
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- Conference Paper
- C1
- open access
Cepstrum analysis applied on event detection in NILM
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- Conference Paper
- P1
- open access
Energy flexibility assessment of an industrial coldstore process
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- Conference Paper
- C1
- open access
Event detection in NILM using Cepstrum smoothing
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- Conference Paper
- C1
- open access
Unsupervised trajectory inference using graph mining
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- Conference Paper
- C3
- open access
Computational inference of developmental chronology using flow cytometry data
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Identifying novel neuroblastoma oncogenes using semi-supervised learning