Ghent University Academic Bibliography

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Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks

Tom Van Steenkiste, Joeri Ruyssinck (UGent) , Leen De Baets (UGent) , Johan Decruyenaere (UGent) , Filip De Turck (UGent) , Femke Ongenae (UGent) and Tom Dhaene (UGent)

(2019) ARTIFICIAL INTELLIGENCE IN MEDICINE. 97. p.38-43
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- Journal Article
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Appliance classification using VI trajectories and convolutional neural networks

Leen De Baets (UGent) , Joeri Ruyssinck (UGent) , Chris Develder (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2018) ENERGY AND BUILDINGS. 158. p.32-36
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On the Bayesian optimization and robustness of event detection methods in NILM

Leen De Baets (UGent) , Joeri Ruyssinck (UGent) , Chris Develder (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2017) ENERGY AND BUILDINGS. 145. p.57-66
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Optimized statistical test for event detection in non-intrusive load monitoring

Leen De Baets (UGent) , Joeri Ruyssinck (UGent) , Chris Develder (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2017) 2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE). p.1-5
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Positive blood culture detection in time series data using a BiLSTM network

Leen De Baets (UGent) , Joeri Ruyssinck (UGent) , Thomas Peiffer, Filip De Turck (UGent) , Femke Ongenae (UGent) , Tom Dhaene (UGent) and Johan Decruyenaere (UGent)

(2016) NIPS 2016 Workshop on Machine Learning for Health, Papers.
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Event detection in NILM using Cepstrum smoothing

Leen De Baets (UGent) , Joeri Ruyssinck (UGent) , Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2016) 3rd International Workshop on Non-Intrusive Load Monitoring. p.1-4
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Cepstrum analysis applied on event detection in NILM

Leen De Baets (UGent) , Joeri Ruyssinck (UGent) , Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2016) BENELEARN 2016 : proceedings of the 25th Belgian-Dutch conference on machine learning.
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Identifying novel neuroblastoma oncogenes using semi-supervised learning

Leen De Baets (UGent) , Robrecht Cannoodt (UGent) , Joeri Ruyssinck (UGent) , Katleen De Preter (UGent) , Tom Dhaene (UGent) and Yvan Saeys (UGent)

(2014) 9th Benelux Bioinformatics conference proceedings.

Academic Bibliography

Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks

Appliance classification using VI trajectories and convolutional neural networks

On the Bayesian optimization and robustness of event detection methods in NILM

Optimized statistical test for event detection in non-intrusive load monitoring

Positive blood culture detection in time series data using a BiLSTM network

Event detection in NILM using Cepstrum smoothing

Cepstrum analysis applied on event detection in NILM

Identifying novel neuroblastoma oncogenes using semi-supervised learning

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